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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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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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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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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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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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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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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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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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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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Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #10
ShakeDrop regularization
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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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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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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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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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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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Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #16
Tempered Adversarial Networks
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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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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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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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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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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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Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #22
TransNets for Review Generation
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #23
Semiparametric Reinforcement Learning
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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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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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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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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #1
Investigating Human Priors for Playing Video Games
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #2
An Evaluation of Fisher Approximations Beyond Kronecker Factorization
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #3
ChatPainter: Improving Text to Image Generation using Dialogue
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #4
Meta-Learning for Batch Mode Active Learning
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #5
Learning and Memorization
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #6
Spatially Parallel Convolutions
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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
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #8
Analysis of Cosmic Microwave Background with Deep Learning
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #9
Monotonic models for real-time dynamic malware detection
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #10
Nonlinear Acceleration of CNNs
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #11
Decoupling Dynamics and Reward for Transfer Learning
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #12
Uncertainty Estimation via Stochastic Batch Normalization
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #13
Learning Efficient Tensor Representations with Ring Structure Networks
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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
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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
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #16
Hockey-Stick GAN
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #17
Fast Node Embeddings: Learning Ego-Centric Representations
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #18
Synthesizing Audio with GANs
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #19
Multi-Agent Generative Adversarial Imitation Learning
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #20
LEARNING AND ANALYZING VECTOR ENCODING OF SYMBOLIC REPRESENTATION
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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
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Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #22
Neuron as an Agent
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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
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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
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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
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #1
Universal Successor Representations for Transfer Reinforcement Learning
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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
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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
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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
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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
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #6
Deep Neural Maps
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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
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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
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #9
Rethinking Style and Content Disentanglement in Variational Autoencoders
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #10
Clustering Meets Implicit Generative Models
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #11
Minimally Redundant Laplacian Eigenmaps
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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
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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
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #14
Adversarial Spheres
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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
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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
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #17
A Flexible Approach to Automated RNN Architecture Generation
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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
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #19
A differentiable BLEU loss. Analysis and first results
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #20
Kronecker Recurrent Units
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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
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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
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #23
Semi-Supervised Few-Shot Learning with MAML
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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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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #1
Learning Invariances for Policy Generalization
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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #2
Practical Hyperparameter Optimization
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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #3
Concept Learning with Energy-Based Models
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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #4
Adapting to Continuously Shifting Domains
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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #5
AUTOMATED DESIGN USING NEURAL NETWORKS AND GRADIENT DESCENT
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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
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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
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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
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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
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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #10
Coupled Ensembles of Neural Networks
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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
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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #12
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
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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
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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #14
Distributional Adversarial Networks
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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #15
Multiple Source Domain Adaptation with Adversarial Learning
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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
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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
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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
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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #19
Isolating Sources of Disentanglement in Variational Autoencoders
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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
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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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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #22
Covariant Compositional Networks For Learning Graphs
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Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #23
Challenges in Disentangling Independent Factors of Variation
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #1
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #2
Easing non-convex optimization with neural networks
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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
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #4
Weighted Geodesic Distance Following Fermat's Principle
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #5
Wasserstein Auto-Encoders: Latent Dimensionality and Random Encoders
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #6
Learning Disentangled Representations with Wasserstein Auto-Encoders
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #7
Time-Dependent Representation for Neural Event Sequence Prediction
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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
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #9
Convolutional Sequence Modeling Revisited
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #10
Scalable Estimation via LSH Samplers (LSS)
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #11
Searching for Activation Functions
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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
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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
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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
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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
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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
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #17
Iterative GANs for Rotating Visual Objects
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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
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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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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #20
Graph Partition Neural Networks for Semi-Supervised Classification
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Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #21
Aspect-based Question Generation
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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
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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
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Wed May 02 04:30 PM -- 04:30 PM (PDT) @ East Meeting Level 8 + 15 #24
Additive Margin Softmax for Face Verification
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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