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Invited Talk
Mon Apr 30 09:00 AM -- 09:45 AM (PDT) @ Exhibition Hall A
What Can Machine Learning Do? Workforce Implications
In
Mon AM Talks
Oral
Mon Apr 30 09:45 AM -- 10:00 AM (PDT) @ Exhibition Hall A
Spectral Normalization for Generative Adversarial Networks
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Mon AM Talks
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Oral
Mon Apr 30 10:00 AM -- 10:15 AM (PDT) @ Exhibition Hall A
AmbientGAN: Generative models from lossy measurements
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Mon AM Talks
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Oral
Mon Apr 30 10:15 AM -- 10:30 AM (PDT) @ Exhibition Hall A
Progressive Growing of GANs for Improved Quality, Stability, and Variation
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Mon AM Talks
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Break
Mon Apr 30 10:30 AM -- 11:00 AM (PDT) @ East Meeting Level, rooms 13/14 & 19/20
Coffee Break
In
Mon AM Talks
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #1
Deep Complex Networks
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #2
Universal Agent for Disentangling Environments and Tasks
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #3
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #4
Fraternal Dropout
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #5
Learning an Embedding Space for Transferable Robot Skills
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #6
Hierarchical Density Order Embeddings
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #7
Model compression via distillation and quantization
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #8
Maximum a Posteriori Policy Optimisation
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #9
MaskGAN: Better Text Generation via Filling in the _______
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #10
Kronecker-factored Curvature Approximations for Recurrent Neural Networks
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #11
Scalable Private Learning with PATE
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #12
Online Learning Rate Adaptation with Hypergradient Descent
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #13
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #14
Learning Awareness Models
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #15
On the regularization of Wasserstein GANs
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #16
Spatially Transformed Adversarial Examples
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #17
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #18
Communication Algorithms via Deep Learning
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #19
Towards Image Understanding from Deep Compression Without Decoding
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #20
Unsupervised Machine Translation Using Monolingual Corpora Only
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #21
Boosting the Actor with Dual Critic
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #22
A DIRT-T Approach to Unsupervised Domain Adaptation
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #23
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #24
Parametrized Hierarchical Procedures for Neural Programming
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #25
Auto-Encoding Sequential Monte Carlo
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #26
Syntax-Directed Variational Autoencoder for Structured Data
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #27
Learn to Pay Attention
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #28
The power of deeper networks for expressing natural functions
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #29
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #30
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #31
Divide and Conquer Networks
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #32
Hierarchical Representations for Efficient Architecture Search
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #33
On the insufficiency of existing momentum schemes for Stochastic Optimization
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #34
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #35
Towards Deep Learning Models Resistant to Adversarial Attacks
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #36
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #37
Neural Speed Reading via Skim-RNN
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #38
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #39
Gradient Estimators for Implicit Models
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #40
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #41
When is a Convolutional Filter Easy to Learn?
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #42
MGAN: Training Generative Adversarial Nets with Multiple Generators
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #1
Feature Incay for Representation Regularization
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #2
Capturing Human Category Representations by Sampling in Deep Feature Spaces
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #3
STOCHASTIC GRADIENT LANGEVIN DYNAMICS THAT EXPLOIT NEURAL NETWORK STRUCTURE
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #4
Towards Mixed-initiative generation of multi-channel sequential structure
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #5
Semi-Supervised Learning With GANs: Revisiting Manifold Regularization
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #6
Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #7
Differentiable Neural Network Architecture Search
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #8
Towards Specification-Directed Program Repair
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #9
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #10
ShakeDrop regularization
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #11
Faster Neural Networks Straight from JPEG
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #12
Generative Modeling for Protein Structures
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #13
Selecting the Best in GANs Family: a Post Selection Inference Framework
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #14
Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #15
A Language and Compiler View on Differentiable Programming
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #16
Tempered Adversarial Networks
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #17
Towards Provable Control for Unknown Linear Dynamical Systems
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #18
LSTM Iteration Networks: An Exploration of Differentiable Path Finding
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #19
Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #20
Policy Optimization with Second-Order Advantage Information
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #21
Deep Convolutional Malware Classifiers Can Learn from Raw Executables and Labels Only
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #22
TransNets for Review Generation
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #23
Extending the Framework of Equilibrium Propagation to General Dynamics
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #25
Tree-to-tree Neural Networks for Program Translation
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Invited Talk
Mon Apr 30 02:30 PM -- 03:15 PM (PDT) @ Exhibition Hall A
Learning Causal Mechanisms
In
Mon PM Talks
Oral
Mon Apr 30 03:15 PM -- 03:30 PM (PDT) @ Exhibition Hall A
Wasserstein Auto-Encoders
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Mon PM Talks
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Oral
Mon Apr 30 03:30 PM -- 03:45 PM (PDT) @ Exhibition Hall A
On the Convergence of Adam and Beyond
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Mon PM Talks
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Oral
Mon Apr 30 03:45 PM -- 04:00 PM (PDT) @ Exhibition Hall A
On the insufficiency of existing momentum schemes for Stochastic Optimization
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Mon PM Talks
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #1
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #2
Distributed Distributional Deterministic Policy Gradients
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #4
Learning a Generative Model for Validity in Complex Discrete Structures
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #5
TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #6
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #7
Lifelong Learning with Dynamically Expandable Networks
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #8
Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #9
Quantitatively Evaluating GANs With Divergences Proposed for Training
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Attacking Binarized Neural Networks
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #11
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Zero-Shot Visual Imitation
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #13
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #14
Imitation Learning from Visual Data with Multiple Intentions
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
Demystifying MMD GANs
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
A Framework for the Quantitative Evaluation of Disentangled Representations
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
Decision Boundary Analysis of Adversarial Examples
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #18
Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #19
Compositional Attention Networks for Machine Reasoning
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #20
Memory-based Parameter Adaptation
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Semi-parametric topological memory for navigation
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
On the Information Bottleneck Theory of Deep Learning
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #24
Sensitivity and Generalization in Neural Networks: an Empirical Study
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #25
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #26
Skip Connections Eliminate Singularities
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #27
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #28
Simulating Action Dynamics with Neural Process Networks
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #29
Twin Networks: Matching the Future for Sequence Generation
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Fast and Accurate Reading Comprehension by Combining Self-Attention and Convolution
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Multi-Mention Learning for Reading Comprehension with Neural Cascades
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #33
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #34
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #35
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #36
The Kanerva Machine: A Generative Distributed Memory
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #37
Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Deep Active Learning for Named Entity Recognition
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #39
Variational Network Quantization
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #41
Cascade Adversarial Machine Learning Regularized with a Unified Embedding
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #42
Training and Inference with Integers in Deep Neural Networks
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #1
Winner's Curse? On Pace, Progress, and Empirical Rigor
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #3
Realistic Evaluation of Semi-Supervised Learning Algorithms
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #4
Learning to Learn Without Labels
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #5
MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #6
Conditional Networks for Few-Shot Semantic Segmentation
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #7
An Optimization View on Dynamic Routing Between Capsules
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #8
Gradients explode - Deep Networks are shallow - ResNet explained
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #9
Learning Invariance with Compact Transforms
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #10
An interpretable LSTM neural network for autoregressive exogenous model
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #11
Are Efficient Deep Representations Learnable?
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #12
FigureQA: An Annotated Figure Dataset for Visual Reasoning
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #13
Learning via social awareness: improving sketch representations with facial feedback
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #14
HoME: a Household Multimodal Environment
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #15
Negative eigenvalues of the Hessian in deep neural networks
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #16
GILBO: One Metric to Measure Them All
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #17
GitGraph - from Computational Subgraphs to Smaller Architecture Search Spaces
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #18
Combating Adversarial Attacks Using Sparse Representations
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #19
Bayesian Incremental Learning for Deep Neural Networks
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #20
Can Deep Reinforcement Learning solve Erdos-Selfridge-Spencer Games?
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #21
Predict Responsibly: Increasing Fairness by Learning to Defer
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #22
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #23
Semiparametric Reinforcement Learning
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #24
Learning Deep Models: Critical Points and Local Openness
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #25
Pelee: A Real-Time Object Detection System on Mobile Devices
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #26
ComboGAN: Unrestricted Scalability for Image Domain Translation
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Invited Talk
Tue May 01 09:00 AM -- 09:45 AM (PDT) @ Exhibition Hall A
Augmenting Clinical Intellgence with Machine Intelligence
In
Tue AM Talks
Oral
Tue May 01 09:45 AM -- 10:00 AM (PDT) @ Exhibition Hall A
Learning to Represent Programs with Graphs
In
Tue AM Talks
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Oral
Tue May 01 10:00 AM -- 10:15 AM (PDT) @ Exhibition Hall A
Neural Sketch Learning for Conditional Program Generation
In
Tue AM Talks
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Oral
Tue May 01 10:15 AM -- 10:30 AM (PDT) @ Exhibition Hall A
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
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Tue AM Talks
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Oral
Tue May 01 10:30 AM -- 10:45 AM (PDT) @ Exhibition Hall A
Certifying Some Distributional Robustness with Principled Adversarial Training
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Tue AM Talks
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #1
Hierarchical Subtask Discovery with Non-Negative Matrix Factorization
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #2
A Simple Neural Attentive Meta-Learner
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #3
Dynamic Neural Program Embeddings for Program Repair
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #4
Stochastic Activation Pruning for Robust Adversarial Defense
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #5
Do GANs learn the distribution? Some Theory and Empirics
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #6
Learning Parametric Closed-Loop Policies for Markov Potential Games
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #7
Learning Approximate Inference Networks for Structured Prediction
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #8
Fidelity-Weighted Learning
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #10
On the Convergence of Adam and Beyond
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #11
Generalizing Across Domains via Cross-Gradient Training
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #12
Understanding image motion with group representations
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #13
Matrix capsules with EM routing
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #14
Global Optimality Conditions for Deep Neural Networks
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #15
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #16
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #18
Divide-and-Conquer Reinforcement Learning
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #19
i-RevNet: Deep Invertible Networks
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #20
Multi-View Data Generation Without View Supervision
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #21
Action-dependent Control Variates for Policy Optimization via Stein Identity
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #22
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #23
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #24
Model-Ensemble Trust-Region Policy Optimization
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #25
Generating Wikipedia by Summarizing Long Sequences
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #26
Neural Language Modeling by Jointly Learning Syntax and Lexicon
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #27
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #28
An efficient framework for learning sentence representations
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #29
Latent Space Oddity: on the Curvature of Deep Generative Models
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #30
N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #31
Variational Message Passing with Structured Inference Networks
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #32
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #33
SCAN: Learning Hierarchical Compositional Visual Concepts
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #34
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #35
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #36
Learning From Noisy Singly-labeled Data
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #37
Gaussian Process Behaviour in Wide Deep Neural Networks
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #38
Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #39
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #40
Wavelet Pooling for Convolutional Neural Networks
[
PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #41
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
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PDF]
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #42
Learning Intrinsic Sparse Structures within Long Short-Term Memory
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #1
Investigating Human Priors for Playing Video Games
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #2
An Evaluation of Fisher Approximations Beyond Kronecker Factorization
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #3
ChatPainter: Improving Text to Image Generation using Dialogue
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #4
Meta-Learning for Batch Mode Active Learning
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #5
Learning and Memorization
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #6
Spatially Parallel Convolutions
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #7
Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #8
Analysis of Cosmic Microwave Background with Deep Learning
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #9
Monotonic models for real-time dynamic malware detection
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #10
Nonlinear Acceleration of CNNs
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #11
Decoupling Dynamics and Reward for Transfer Learning
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #12
Uncertainty Estimation via Stochastic Batch Normalization
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #13
Learning Efficient Tensor Representations with Ring Structure Networks
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #14
To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #15
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #16
Hockey-Stick GAN
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #17
Fast Node Embeddings: Learning Ego-Centric Representations
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #18
Synthesizing Audio with GANs
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #19
Multi-Agent Generative Adversarial Imitation Learning
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #20
LEARNING AND ANALYZING VECTOR ENCODING OF SYMBOLIC REPRESENTATION
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #21
SGD on Random Mixtures: Private Machine Learning under Data Breach Threats
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #22
Neuron as an Agent
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #23
Weightless: Lossy weight encoding for deep neural network compression
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #24
A Dataset To Evaluate The Representations Learned By Video Prediction Models
[
PDF]
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #25
Empirical Analysis of the Hessian of Over-Parametrized Neural Networks
[
PDF]
Invited Talk
Tue May 01 02:30 PM -- 03:15 PM (PDT) @ Exhibition Hall A
Visual Learning With Unlabeled Video and Look-Around Policies
In
Tue PM Talks
Oral
Tue May 01 03:15 PM -- 03:30 PM (PDT) @ Exhibition Hall A
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
In
Tue PM Talks
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PDF]
Oral
Tue May 01 03:30 PM -- 03:45 PM (PDT) @ Exhibition Hall A
Spherical CNNs
In
Tue PM Talks
[
PDF]
Oral
Tue May 01 03:45 PM -- 04:00 PM (PDT) @ Exhibition Hall A
Zero-Shot Visual Imitation
In
Tue PM Talks
[
PDF]
Oral
Tue May 01 04:00 PM -- 04:15 PM (PDT) @ Exhibition Hall A
Multi-Scale Dense Networks for Resource Efficient Image Classification
In
Tue PM Talks
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PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #1
FearNet: Brain-Inspired Model for Incremental Learning
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PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #2
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Meta-Learning for Semi-Supervised Few-Shot Classification
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #4
Neural Sketch Learning for Conditional Program Generation
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #5
Deep Neural Networks as Gaussian Processes
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #6
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks
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PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #7
Expressive power of recurrent neural networks
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PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #8
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #9
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Certified Defenses against Adversarial Examples
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #11
Semantic Interpolation in Implicit Models
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #13
Learning One-hidden-layer Neural Networks with Landscape Design
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #14
Thermometer Encoding: One Hot Way To Resist Adversarial Examples
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
Training GANs with Optimism
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #18
Distributed Prioritized Experience Replay
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #19
Adversarial Dropout Regularization
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #20
Countering Adversarial Images using Input Transformations
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Generating Natural Adversarial Examples
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #24
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #25
Unsupervised Neural Machine Translation
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #26
Smooth Loss Functions for Deep Top-k Classification
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #27
Synthetic and Natural Noise Both Break Neural Machine Translation
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #28
Can Neural Networks Understand Logical Entailment?
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #29
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
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PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
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PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Learning Latent Permutations with Gumbel-Sinkhorn Networks
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Can recurrent neural networks warp time?
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #34
Learning Differentially Private Recurrent Language Models
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #35
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #36
SEARNN: Training RNNs with global-local losses
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #37
Learning to Teach
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Active Learning for Convolutional Neural Networks: A Core-Set Approach
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #39
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
WRPN: Wide Reduced-Precision Networks
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PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #41
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
[
PDF]
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #42
Spectral Normalization for Generative Adversarial Networks
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #1
Universal Successor Representations for Transfer Reinforcement Learning
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #2
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #3
Jointly Learning "What" and "How" from Instructions and Goal-States
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #4
Deep learning mutation prediction enables early stage lung cancer detection in liquid biopsy
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #5
Evaluating visual "common sense" using fine-grained classification and captioning tasks
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #6
Deep Neural Maps
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #7
Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #8
Compression by the signs: distributed learning is a two-way street
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #9
Rethinking Style and Content Disentanglement in Variational Autoencoders
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #10
Clustering Meets Implicit Generative Models
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #11
Minimally Redundant Laplacian Eigenmaps
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #12
Neural Program Search: Solving Programming Tasks from Description and Examples
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #13
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #14
Adversarial Spheres
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #15
Attacking the Madry Defense Model with $L_1$-based Adversarial Examples
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #16
Stable Distribution Alignment Using the Dual of the Adversarial Distance
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #17
A Flexible Approach to Automated RNN Architecture Generation
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #18
Variance-based Gradient Compression for Efficient Distributed Deep Learning
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #19
A differentiable BLEU loss. Analysis and first results
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #20
Kronecker Recurrent Units
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PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #21
Expert-based reward function training: the novel method to train sequence generators
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #22
The loss surface and expressivity of deep convolutional neural networks
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #23
Semi-Supervised Few-Shot Learning with MAML
[
PDF]
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #24
Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks
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PDF]
Invited Talk
Wed May 02 09:00 AM -- 09:45 AM (PDT) @ Exhibition Hall A
From Generative Models to Generative Agents
In
Wed AM Talks
Oral
Wed May 02 09:45 AM -- 10:00 AM (PDT) @ Exhibition Hall A
Training and Inference with Integers in Deep Neural Networks
In
Wed AM Talks
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PDF]
Oral
Wed May 02 10:00 AM -- 10:15 AM (PDT) @ Exhibition Hall A
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
In
Wed AM Talks
[
PDF]
Oral
Wed May 02 10:15 AM -- 10:30 AM (PDT) @ Exhibition Hall A
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
In
Wed AM Talks
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #1
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs
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Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #2
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #3
Measuring the Intrinsic Dimension of Objective Landscapes
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #4
A Hierarchical Model for Device Placement
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #5
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #6
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #7
Certifying Some Distributional Robustness with Principled Adversarial Training
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #8
Learning Robust Rewards with Adverserial Inverse Reinforcement Learning
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #9
META LEARNING SHARED HIERARCHIES
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #10
Boundary Seeking GANs
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Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #11
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #12
Ensemble Adversarial Training: Attacks and Defenses
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #13
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #14
Policy Optimization by Genetic Distillation
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #15
Stochastic Variational Video Prediction
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PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #16
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #17
Modular Continual Learning in a Unified Visual Environment
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #18
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #19
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #20
mixup: Beyond Empirical Risk Minimization
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #21
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #22
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #23
Interpretable Counting for Visual Question Answering
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #24
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #25
Variational Continual Learning
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #26
Loss-aware Weight Quantization of Deep Networks
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #27
Memory Architectures in Recurrent Neural Network Language Models
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #28
Monotonic Chunkwise Attention
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #29
On the State of the Art of Evaluation in Neural Language Models
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #30
Fix your classifier: the marginal value of training the last weight layer
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #31
VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #32
Learning Sparse Neural Networks through L_0 Regularization
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #33
A Scalable Laplace Approximation for Neural Networks
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #34
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #35
Identifying Analogies Across Domains
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #36
Unsupervised Representation Learning by Predicting Image Rotations
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #37
On the importance of single directions for generalization
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #38
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #39
Alternating Multi-bit Quantization for Recurrent Neural Networks
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #40
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #41
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
[
PDF]
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #42
Word translation without parallel data
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #1
Learning Invariances for Policy Generalization
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #2
Practical Hyperparameter Optimization
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #3
Concept Learning with Energy-Based Models
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #4
Adapting to Continuously Shifting Domains
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #5
AUTOMATED DESIGN USING NEURAL NETWORKS AND GRADIENT DESCENT
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #6
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #7
Depth separation and weight-width trade-offs for sigmoidal neural networks
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #8
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #9
THE EFFECTIVENESS OF A TWO-LAYER NEURAL NETWORK FOR RECOMMENDATIONS
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #10
Coupled Ensembles of Neural Networks
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #11
SpectralWords: Spectral Embeddings Approach to Word Similarity Task for Large Vocabularies
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #12
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #13
Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #14
Distributional Adversarial Networks
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #15
Multiple Source Domain Adaptation with Adversarial Learning
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #16
Black-box Attacks on Deep Neural Networks via Gradient Estimation
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #17
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #18
IamNN: Iterative and Adaptive Mobile Neural Network for efficient image classification
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #19
Isolating Sources of Disentanglement in Variational Autoencoders
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #20
No Spurious Local Minima in a Two Hidden Unit ReLU Network
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #21
COLD FUSION: TRAINING SEQ2SEQ MODELS TOGETHER WITH LANGUAGE MODELS
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PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #22
Covariant Compositional Networks For Learning Graphs
[
PDF]
Workshop
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #23
Challenges in Disentangling Independent Factors of Variation
[
PDF]
Invited Talk
Wed May 02 02:30 PM -- 03:15 PM (PDT) @ Exhibition Hall A
Deep Learning with Ensembles of Neocortical Microcircuits
In
Wed PM Talks
Invited Talk
Wed May 02 03:15 PM -- 04:00 PM (PDT) @ Exhibition Hall A
Fireside Chat with Daphne Koller
In
Wed PM Talks
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #1
Few-Shot Learning with Graph Neural Networks
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PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #2
Temporally Efficient Deep Learning with Spikes
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #4
Understanding Deep Neural Networks with Rectified Linear Units
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #5
On Unifying Deep Generative Models
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #6
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #7
Wasserstein Auto-Encoders
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #8
Guide Actor-Critic for Continuous Control
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #9
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Neural Map: Structured Memory for Deep Reinforcement Learning
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #11
Eigenoption Discovery through the Deep Successor Representation
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Progressive Growing of GANs for Improved Quality, Stability, and Variation
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #13
Learning a neural response metric for retinal prosthesis
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #14
Self-ensembling for visual domain adaptation
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
PixelNN: Example-based Image Synthesis
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
Emergent Communication through Negotiation
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
Emergent Communication in a Multi-Modal, Multi-Step Referential Game
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #18
Stabilizing Adversarial Nets with Prediction Methods
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #19
Learning to Represent Programs with Graphs
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #20
cGANs with Projection Discriminator
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Generative Models of Visually Grounded Imagination
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Emergent Translation in Multi-Agent Communication
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #24
An image representation based convolutional network for DNA classification
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #25
Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #26
Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #27
Non-Autoregressive Neural Machine Translation
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #28
Compressing Word Embeddings via Deep Compositional Code Learning
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #29
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Depthwise Separable Convolutions for Neural Machine Translation
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #33
Large scale distributed neural network training through online distillation
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #34
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #35
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #36
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #37
Residual Connections Encourage Iterative Inference
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Towards Synthesizing Complex Programs From Input-Output Examples
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #39
Don't Decay the Learning Rate, Increase the Batch Size
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #41
Multi-Scale Dense Networks for Resource Efficient Image Classification
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #42
A Deep Reinforced Model for Abstractive Summarization
[
PDF]
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #43
Unbiased Online Recurrent Optimization
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #1
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #2
Easing non-convex optimization with neural networks
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #3
In reinforcement learning, all objective functions are not equal
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #4
Weighted Geodesic Distance Following Fermat's Principle
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #5
Wasserstein Auto-Encoders: Latent Dimensionality and Random Encoders
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #6
Learning Disentangled Representations with Wasserstein Auto-Encoders
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #7
Time-Dependent Representation for Neural Event Sequence Prediction
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #8
Feature-Based Metrics for Exploring the Latent Space of Generative Models
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #9
Convolutional Sequence Modeling Revisited
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #10
Scalable Estimation via LSH Samplers (LSS)
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #11
Searching for Activation Functions
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #12
Efficient Entropy For Policy Gradient with Multi-Dimensional Action Space
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #13
NAM - Unsupervised Cross-Domain Image Mapping without Cycles or GANs
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #14
3D-Scene-GAN: Three-dimensional Scene Reconstruction with Generative Adversarial Networks
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #15
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #16
Learning How Not to Act in Text-based Games
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #17
Iterative GANs for Rotating Visual Objects
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #18
Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #19
LSH-SAMPLING BREAKS THE COMPUTATIONAL CHICKEN-AND-EGG LOOP IN ADAPTIVE STOCHASTIC GRADIENT ESTIMATION
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PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #20
Graph Partition Neural Networks for Semi-Supervised Classification
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #21
Aspect-based Question Generation
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #22
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
[
PDF]
Workshop
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #23
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
[
PDF]
Workshop
Wed May 02 04:30 PM -- 04:30 PM (PDT) @ East Meeting Level 8 + 15 #24
Additive Margin Softmax for Face Verification
[
PDF]
Invited Talk
Thu May 03 09:00 AM -- 09:45 AM (PDT) @ Exhibition Hall A
Reproducibility, Reusability, and Robustness in Deep Reinforcement Learning
In
Thu AM Talks
Oral
Thu May 03 09:45 AM -- 10:00 AM (PDT) @ Exhibition Hall A
Learning Deep Mean Field Games for Modeling Large Population Behavior
In
Thu AM Talks
[
PDF]
Oral
Thu May 03 10:00 AM -- 10:15 AM (PDT) @ Exhibition Hall A
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
In
Thu AM Talks
[
PDF]
Oral
Thu May 03 10:15 AM -- 10:30 AM (PDT) @ Exhibition Hall A
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
In
Thu AM Talks
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #1
Kernel Implicit Variational Inference
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #2
Generative networks as inverse problems with Scattering transforms
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #3
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #4
Large Scale Optimal Transport and Mapping Estimation
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #5
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #6
Activation Maximization Generative Adversarial Nets
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #7
Parameter Space Noise for Exploration
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #8
AmbientGAN: Generative models from lossy measurements
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #9
RESIDUAL LOSS PREDICTION: REINFORCEMENT LEARNING WITH NO INCREMENTAL FEEDBACK
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #10
Mitigating Adversarial Effects Through Randomization
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #11
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #12
Towards Reverse-Engineering Black-Box Neural Networks
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #13
The High-Dimensional Geometry of Binary Neural Networks
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #14
On the Discrimination-Generalization Tradeoff in GANs
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #15
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization
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PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #16
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #17
Learning to Multi-Task by Active Sampling
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #18
Learning from Between-class Examples for Deep Sound Recognition
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #19
Emergent Complexity via Multi-Agent Competition
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #20
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #21
Polar Transformer Networks
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #22
Compositional Obverter Communication Learning from Raw Visual Input
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #23
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #24
Multi-Task Learning for Document Ranking and Query Suggestion
[
PDF]
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #25
Adaptive Quantization of Neural Networks
[
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #26
Interactive Grounded Language Acquisition and Generalization in a 2D World
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #27
Hyperparameter optimization: a spectral approach
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #28
Deep Learning with Logged Bandit Feedback
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #29
Generalizing Hamiltonian Monte Carlo with Neural Networks
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #30
Detecting Statistical Interactions from Neural Network Weights
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #31
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #32
Adaptive Dropout with Rademacher Complexity Regularization
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #33
Mixed Precision Training
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #34
SpectralNet: Spectral Clustering using Deep Neural Networks
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #35
Deep Rewiring: Training very sparse deep networks
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #36
A Neural Representation of Sketch Drawings
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #37
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #38
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #39
Graph Attention Networks
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #40
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #41
Critical Percolation as a Framework to Analyze the Training of Deep Networks
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Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #42
Learning to Count Objects in Natural Images for Visual Question Answering
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #1
Exponentially vanishing sub-optimal local minima in multilayer neural networks
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #2
The Mirage of Action-Dependent Baselines in Reinforcement Learning
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #3
Gradient-based Optimization of Neural Network Architecture
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #4
Building Generalizable Agents with a Realistic and Rich 3D Environment
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #5
Adaptive Path-Integral Approach for Representation Learning and Planning
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #6
Benefits of Depth for Long-Term Memory of Recurrent Networks
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #7
Accelerating Neural Architecture Search using Performance Prediction
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #8
Faster Discovery of Neural Architectures by Searching for Paths in a Large Model
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #9
DLVM: A modern compiler infrastructure for deep learning systems
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #10
Reconstructing evolutionary trajectories of mutations in cancer
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #11
DeepNCM: Deep Nearest Class Mean Classifiers
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #12
Causal Discovery Using Proxy Variables
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #13
PixelSNAIL: An Improved Autoregressive Generative Model
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #14
PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #15
Intriguing Properties of Adversarial Examples
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #16
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #17
Censoring Representations with Multiple-Adversaries over Random Subspaces
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #18
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #19
Spectral Capsule Networks
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #20
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #21
Towards Variational Generation of Small Graphs
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #22
Rotational Unit of Memory
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #23
Autoregressive Generative Adversarial Networks
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #24
Regret Minimization for Partially Observable Deep Reinforcement Learning
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Workshop
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #25
PDE-Net: Learning PDEs from Data
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Invited Talk
Thu May 03 02:30 PM -- 03:15 PM (PDT) @ Exhibition Hall A
A Neural Network Model That Can Reason
In
Thu PM Talks
Oral
Thu May 03 03:15 PM -- 03:30 PM (PDT) @ Exhibition Hall A
Synthetic and Natural Noise Both Break Neural Machine Translation
In
Thu PM Talks
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Oral
Thu May 03 03:30 PM -- 03:45 PM (PDT) @ Exhibition Hall A
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
In
Thu PM Talks
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Oral
Thu May 03 03:45 PM -- 04:00 PM (PDT) @ Exhibition Hall A
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
In
Thu PM Talks
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Break
Thu May 03 04:00 PM -- 04:30 PM (PDT) @ East Meeting Level rooms 13/14 & 19/20
Coffee Break
In
Thu PM Talks
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #1
Variational image compression with a scale hyperprior
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #2
NerveNet: Learning Structured Policy with Graph Neural Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Proximal Backpropagation
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #4
On the Expressive Power of Overlapping Architectures of Deep Learning
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #5
The Implicit Bias of Gradient Descent on Separable Data
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #6
Multi-level Residual Networks from Dynamical Systems View
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #7
Learning Deep Mean Field Games for Modeling Large Population Behavior
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #8
TRAINING GENERATIVE ADVERSARIAL NETWORKS VIA PRIMAL-DUAL SUBGRADIENT METHODS: A LAGRANGIAN PERSPECTIVE ON GAN
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #9
Implicit Causal Models for Genome-wide Association Studies
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Unsupervised Cipher Cracking Using Discrete GANs
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #11
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Not-So-Random Features
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #13
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #14
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
Reinforcement Learning Algorithm Selection
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
Improving GANs Using Optimal Transport
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
Efficient Sparse-Winograd Convolutional Neural Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #18
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #19
An Online Learning Approach to Generative Adversarial Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #20
Espresso: Efficient Forward Propagation for Binary Deep Neural Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Learning Wasserstein Embeddings
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Towards Neural Phrase-based Machine Translation
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
Noisy Networks For Exploration
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #24
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #25
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #26
Training wide residual networks for deployment using a single bit for each weight
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #27
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #28
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #29
Learning Discrete Weights Using the Local Reparameterization Trick
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
Regularizing and Optimizing LSTM Language Models
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Active Neural Localization
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Memory Augmented Control Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #33
Learning how to explain neural networks: PatternNet and PatternAttribution
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #34
A New Method of Region Embedding for Text Classification
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #35
Distributed Fine-tuning of Language Models on Private Data
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #36
Automatically Inferring Data Quality for Spatiotemporal Forecasting
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #37
Empirical Risk Landscape Analysis for Understanding Deep Neural Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Decoupling the Layers in Residual Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #39
Learning to cluster in order to transfer across domains and tasks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
Natural Language Inference over Interaction Space
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #41
Consequentialist conditional cooperation in social dilemmas with imperfect information
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #42
SMASH: One-Shot Model Architecture Search through HyperNetworks
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #1
Inference in probabilistic graphical models by Graph Neural Networks
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #2
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #3
Online variance-reducing optimization
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #4
Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #5
Leveraging Constraint Logic Programming for Neural Guided Program Synthesis
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #6
Simple and efficient architecture search for Convolutional Neural Networks
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #7
Adversarial Policy Gradient for Alternating Markov Games
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #8
Meta-Learning a Dynamical Language Model
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #9
A moth brain learns to read MNIST
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #10
Learning Representations and Generative Models for 3D Point Clouds
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #11
Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #12
Finding Flatter Minima with SGD
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #13
eCommerceGAN: A Generative Adversarial Network for e-commerce
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #14
SufiSent - Universal Sentence Representations Using Suffix Encodings
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #15
Regularization Neural Networks via Constrained Virtual Movement Field
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #16
Neural network parameter regression for lattice quantum chromodynamics simulations in nuclear and particle physics
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #17
Shifting Mean Activation Towards Zero with Bipolar Activation Functions
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #18
Learning to Organize Knowledge with N-Gram Machines
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #19
An Experimental Study of Neural Networks for Variable Graphs
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #20
Reinforcement Learning from Imperfect Demonstrations
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #21
Adaptive Memory Networks
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #22
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #23
Learning to Infer
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #24
3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #25
GeoSeq2Seq: Information Geometric Sequence-to-Sequence Networks
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Workshop
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #26
Learning Rich Image Representation with Deep Layer Aggregation
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