(565 events)
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Break
Mon May 06 07:00 AM -- 06:30 PM (PDT)
Registration Desk Open
Invited Talk
Mon May 06 07:00 AM -- 07:45 AM (PDT) @ Great Hall AD
Highlights of Recent Developments in Algorithmic Fairness
Oral
Mon May 06 07:45 AM -- 08:00 AM (PDT) @ Great Hall AD
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling
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Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R01
The 2nd Learning from Limited Labeled Data (LLD) Workshop: Representation Learning for Weak Supervision and Beyond
Workshop
Mon May 06 07:45 AM -- 11:00 AM (PDT) @ Room R02
Deep Reinforcement Learning Meets Structured Prediction
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R03
Debugging Machine Learning Models
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R04
Structure & Priors in Reinforcement Learning (SPiRL)
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R05
AI for Social Good
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R06
Safe Machine Learning: Specification, Robustness, and Assurance
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R07
Representation Learning on Graphs and Manifolds
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R08
Reproducibility in Machine Learning
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R09
Task-Agnostic Reinforcement Learning (TARL)
Oral
Mon May 06 08:00 AM -- 08:15 AM (PDT) @ Great Hall AD
BA-Net: Dense Bundle Adjustment Networks
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Indexed Video]
Oral
Mon May 06 08:15 AM -- 08:30 AM (PDT) @ Great Hall AD
Large Scale GAN Training for High Fidelity Natural Image Synthesis
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Break
Mon May 06 08:45 AM -- 09:00 AM (PDT) @ Great Hall AD
Opening Remarks
Break
Mon May 06 10:30 AM -- 11:00 AM (PDT) @ Hall B-1
Coffee Break
Invited Talk
Mon May 06 12:30 PM -- 01:15 PM (PDT) @ Great Hall AD
Learning Representations Using Causal Invariance
Break
Mon May 06 01:00 PM -- 02:30 PM (PDT) @ on your own
Lunch - on your own
Oral
Mon May 06 01:15 PM -- 01:30 PM (PDT) @ Great Hall AD
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
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Workshop
Mon May 06 01:15 PM -- 04:30 PM (PDT) @ Room R02
Deep Generative Models for Highly Structured Data
Oral
Mon May 06 01:30 PM -- 01:45 PM (PDT) @ Great Hall AD
How Powerful are Graph Neural Networks?
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Indexed Video]
Oral
Mon May 06 01:45 PM -- 02:00 PM (PDT) @ Great Hall AD
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
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Indexed Video]
Break
Mon May 06 04:00 PM -- 04:30 PM (PDT) @ Hall B-1
Coffee Break
Break
Mon May 06 06:30 PM -- 07:30 PM (PDT) @ Great Hall Pre-Function, Hall B-1
Opening Reception
Break
Mon May 06 07:00 PM -- 07:30 PM (PDT) @ Rivergate Room
Newcomers Reception
Invited Talk
Tue May 07 07:00 AM -- 07:45 AM (PDT) @ Great Hall AD
Can Machine Learning Help to Conduct a Planetary Healthcheck?
Workshop
Tue May 07 07:00 AM -- 04:30 PM (PDT) @ Room R01
LatinX in AI and Black in AI Joint Workshop
Oral
Tue May 07 07:45 AM -- 08:00 AM (PDT) @ Great Hall AD
Learning Protein Structure with a Differentiable Simulator
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Indexed Video]
Break
Tue May 07 08:00 AM -- 06:30 PM (PDT)
Registration Desk Open
Oral
Tue May 07 08:00 AM -- 08:15 AM (PDT) @ Great Hall AD
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
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Indexed Video]
Oral
Tue May 07 08:15 AM -- 08:30 AM (PDT) @ Great Hall AD
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #1
Random mesh projectors for inverse problems
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #2
Improving MMD-GAN Training with Repulsive Loss Function
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #3
STCN: Stochastic Temporal Convolutional Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #4
GENERATING HIGH FIDELITY IMAGES WITH SUBSCALE PIXEL NETWORKS AND MULTIDIMENSIONAL UPSCALING
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #5
Diversity and Depth in Per-Example Routing Models
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #6
GANSynth: Adversarial Neural Audio Synthesis
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #8
Visual Reasoning by Progressive Module Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #9
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #10
Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #11
Time-Agnostic Prediction: Predicting Predictable Video Frames
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #12
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #13
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #14
Human-level Protein Localization with Convolutional Neural Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #15
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #16
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #17
Differentiable Learning-to-Normalize via Switchable Normalization
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #18
Learning a SAT Solver from Single-Bit Supervision
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #19
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #20
Unsupervised Discovery of Parts, Structure, and Dynamics
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #21
ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #22
Unsupervised Adversarial Image Reconstruction
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #23
Explaining Image Classifiers by Counterfactual Generation
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #24
Equi-normalization of Neural Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #25
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #26
ADef: an Iterative Algorithm to Construct Adversarial Deformations
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #27
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #28
Meta-Learning with Latent Embedding Optimization
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #29
Diversity-Sensitive Conditional Generative Adversarial Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #30
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #31
Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #32
Generating Multiple Objects at Spatially Distinct Locations
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #33
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #34
A rotation-equivariant convolutional neural network model of primary visual cortex
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #35
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #36
Large Scale GAN Training for High Fidelity Natural Image Synthesis
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #37
Deep Convolutional Networks as shallow Gaussian Processes
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #38
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #39
Learning Protein Structure with a Differentiable Simulator
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #41
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #42
Diffusion Scattering Transforms on Graphs
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #43
Spherical CNNs on Unstructured Grids
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #45
The Singular Values of Convolutional Layers
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #46
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #47
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #48
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #49
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #51
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #52
Neural network gradient-based learning of black-box function interfaces
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #53
BA-Net: Dense Bundle Adjustment Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #54
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #55
Residual Non-local Attention Networks for Image Restoration
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #56
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #57
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #58
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #59
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #60
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #61
Context-adaptive Entropy Model for End-to-end Optimized Image Compression
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #62
StrokeNet: A Neural Painting Environment
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #63
Dynamic Channel Pruning: Feature Boosting and Suppression
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #64
Learning to Infer and Execute 3D Shape Programs
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #65
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #66
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #67
AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #68
Visual Semantic Navigation using Scene Priors
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #69
Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #70
DPSNet: End-to-end Deep Plane Sweep Stereo
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #71
Learning what you can do before doing anything
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Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #72
Learning to Describe Scenes with Programs
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #73
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #74
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #75
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #76
code2seq: Generating Sequences from Structured Representations of Code
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #77
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #78
Learning Mixed-Curvature Representations in Product Spaces
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #79
InstaGAN: Instance-aware Image-to-Image Translation
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #80
Multi-class classification without multi-class labels
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #81
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #82
Feature Intertwiner for Object Detection
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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #83
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
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Break
Tue May 07 10:30 AM -- 11:00 AM (PDT) @ Hall B-1
Coffee Break
Invited Talk
Tue May 07 12:30 PM -- 01:15 PM (PDT) @ Great Hall AD
Adversarial Machine Learning
Break
Tue May 07 01:00 PM -- 02:30 PM (PDT) @ on your own
Lunch - on your own
Oral
Tue May 07 01:15 PM -- 01:30 PM (PDT) @ Great Hall AD
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
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Oral
Tue May 07 01:30 PM -- 01:45 PM (PDT) @ Great Hall AD
Learning to Remember More with Less Memorization
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Indexed Video]
Oral
Tue May 07 01:45 PM -- 02:00 PM (PDT) @ Great Hall AD
Learning Robust Representations by Projecting Superficial Statistics Out
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Oral
Tue May 07 02:00 PM -- 02:15 PM (PDT) @ Great Hall AD
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #1
SNAS: stochastic neural architecture search
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #2
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #3
Improving Generalization and Stability of Generative Adversarial Networks
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #4
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #5
L2-Nonexpansive Neural Networks
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #6
A Variational Inequality Perspective on Generative Adversarial Networks
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #7
PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #8
Revealing interpretable object representations from human behavior
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #9
Robust Conditional Generative Adversarial Networks
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #10
Learning Robust Representations by Projecting Superficial Statistics Out
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #11
Towards GAN Benchmarks Which Require Generalization
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #12
Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #13
Learnable Embedding Space for Efficient Neural Architecture Compression
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #14
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #15
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #16
CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #18
signSGD via Zeroth-Order Oracle
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Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #19
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #20
Generative Code Modeling with Graphs
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #21
Evaluating Robustness of Neural Networks with Mixed Integer Programming
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #22
How Powerful are Graph Neural Networks?
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #23
Graph Wavelet Neural Network
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #24
Whitening and Coloring Batch Transform for GANs
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #25
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #26
Boosting Robustness Certification of Neural Networks
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #27
Conditional Network Embeddings
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #28
Multi-Domain Adversarial Learning
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #29
Learning to Remember More with Less Memorization
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #30
RelGAN: Relational Generative Adversarial Networks for Text Generation
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #31
A Statistical Approach to Assessing Neural Network Robustness
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #32
Robustness May Be at Odds with Accuracy
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #33
Verification of Non-Linear Specifications for Neural Networks
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #34
Capsule Graph Neural Network
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #35
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #36
The Unusual Effectiveness of Averaging in GAN Training
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #37
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #38
Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #39
On Self Modulation for Generative Adversarial Networks
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Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #40
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #41
Large Scale Graph Learning From Smooth Signals
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #42
Approximability of Discriminators Implies Diversity in GANs
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #43
On the Sensitivity of Adversarial Robustness to Input Data Distributions
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #44
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #45
GO Gradient for Expectation-Based Objectives
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #46
Discriminator Rejection Sampling
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #47
Don't let your Discriminator be fooled
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #48
Supervised Community Detection with Line Graph Neural Networks
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #49
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
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Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #50
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
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PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #51
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #52
Adversarial Imitation via Variational Inverse Reinforcement Learning
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #53
Adversarial Attacks on Graph Neural Networks via Meta Learning
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #54
Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #55
Defensive Quantization: When Efficiency Meets Robustness
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #56
INVASE: Instance-wise Variable Selection using Neural Networks
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #57
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #58
The relativistic discriminator: a key element missing from standard GAN
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #59
Are adversarial examples inevitable?
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #60
Cost-Sensitive Robustness against Adversarial Examples
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #61
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #62
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #63
Adversarial Reprogramming of Neural Networks
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #64
Invariant and Equivariant Graph Networks
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #65
Excessive Invariance Causes Adversarial Vulnerability
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #66
On Computation and Generalization of Generative Adversarial Networks under Spectrum Control
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #67
Dynamic Sparse Graph for Efficient Deep Learning
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #68
SPIGAN: Privileged Adversarial Learning from Simulation
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #69
Towards the first adversarially robust neural network model on MNIST
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #70
A Direct Approach to Robust Deep Learning Using Adversarial Networks
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #72
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #73
Graph HyperNetworks for Neural Architecture Search
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #74
Stochastic Optimization of Sorting Networks via Continuous Relaxations
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #75
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #76
DyRep: Learning Representations over Dynamic Graphs
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #77
Deep reinforcement learning with relational inductive biases
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #78
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #79
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #80
Improving the Generalization of Adversarial Training with Domain Adaptation
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #81
Sample Efficient Imitation Learning for Continuous Control
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #82
Generalizable Adversarial Training via Spectral Normalization
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #83
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #84
DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS
[
PDF]
Poster
Tue May 07 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #85
The Limitations of Adversarial Training and the Blind-Spot Attack
[
PDF]
Break
Tue May 07 04:15 PM -- 04:30 PM (PDT) @ Hall B-1
Coffee Break
Invited Talk
Wed May 08 07:00 AM -- 07:45 AM (PDT) @ Great Hall AD
Developmental Autonomous Learning: AI, Cognitive Sciences and Educational Technology
Oral
Wed May 08 07:45 AM -- 08:00 AM (PDT) @ Great Hall AD
Learning deep representations by mutual information estimation and maximization
[
PDF]
[
Indexed Video]
Break
Wed May 08 08:00 AM -- 06:30 PM (PDT)
Registration Desk Open
Oral
Wed May 08 08:00 AM -- 08:15 AM (PDT) @ Great Hall AD
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks
[
PDF]
[
Indexed Video]
Oral
Wed May 08 08:15 AM -- 08:30 AM (PDT) @ Great Hall AD
Deterministic Variational Inference for Robust Bayesian Neural Networks
[
PDF]
[
Indexed Video]
Oral
Wed May 08 08:30 AM -- 08:45 AM (PDT) @ Great Hall AD
FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models
[
PDF]
[
Indexed Video]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #1
Soft Q-Learning with Mutual-Information Regularization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #2
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #3
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #4
Knowledge Flow: Improve Upon Your Teachers
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #5
Meta-learning with differentiable closed-form solvers
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #6
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #7
Probabilistic Planning with Sequential Monte Carlo methods
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #8
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #9
Combinatorial Attacks on Binarized Neural Networks
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #11
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #12
Two-Timescale Networks for Nonlinear Value Function Approximation
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #13
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #14
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #15
Competitive experience replay
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #17
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #18
Neural Program Repair by Jointly Learning to Localize and Repair
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #19
FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #20
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #21
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #22
Learning Actionable Representations with Goal Conditioned Policies
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #23
Neural Graph Evolution: Automatic Robot Design
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #24
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #25
Episodic Curiosity through Reachability
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #26
A new dog learns old tricks: RL finds classic optimization algorithms
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #27
Optimal Completion Distillation for Sequence Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #28
Hierarchical Visuomotor Control of Humanoids
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #29
Meta-Learning For Stochastic Gradient MCMC
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #30
Environment Probing Interaction Policies
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #31
Relational Forward Models for Multi-Agent Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #32
Deterministic Variational Inference for Robust Bayesian Neural Networks
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #33
Emergent Coordination Through Competition
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #34
Variance Reduction for Reinforcement Learning in Input-Driven Environments
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #35
A comprehensive, application-oriented study of catastrophic forgetting in DNNs
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #36
Information asymmetry in KL-regularized RL
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #37
Modeling the Long Term Future in Model-Based Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #38
Synthetic Datasets for Neural Program Synthesis
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #39
Unsupervised Learning via Meta-Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #40
Learning to Navigate the Web
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #41
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #42
Sample Efficient Adaptive Text-to-Speech
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #43
CEM-RL: Combining evolutionary and gradient-based methods for policy search
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #44
An Empirical Study of Example Forgetting during Deep Neural Network Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #45
Learning Multi-Level Hierarchies with Hindsight
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #46
Reward Constrained Policy Optimization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #47
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #48
Supervised Policy Update for Deep Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #49
Towards Metamerism via Foveated Style Transfer
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #50
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #51
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #52
Analysing Mathematical Reasoning Abilities of Neural Models
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #53
Execution-Guided Neural Program Synthesis
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #54
Learning deep representations by mutual information estimation and maximization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #55
Meta-Learning Probabilistic Inference for Prediction
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #56
Solving the Rubik's Cube with Approximate Policy Iteration
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #57
Universal Successor Features Approximators
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #58
Information-Directed Exploration for Deep Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #59
Learning Exploration Policies for Navigation
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #61
ProMP: Proximal Meta-Policy Search
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #62
AutoLoss: Learning Discrete Schedule for Alternate Optimization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #63
Neural Probabilistic Motor Primitives for Humanoid Control
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #65
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #67
The Laplacian in RL: Learning Representations with Efficient Approximations
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #68
Exploration by random network distillation
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #69
Composing Complex Skills by Learning Transition Policies
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #70
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #71
Measuring and regularizing networks in function space
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #72
Learning to Schedule Communication in Multi-agent Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #73
LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #74
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #75
Policy Transfer with Strategy Optimization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #76
Large-Scale Study of Curiosity-Driven Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #77
Diversity is All You Need: Learning Skills without a Reward Function
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #78
Preferences Implicit in the State of the World
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #79
Learning to Learn with Conditional Class Dependencies
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #80
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #81
Efficient Lifelong Learning with A-GEM
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #82
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #83
Automatically Composing Representation Transformations as a Means for Generalization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #84
Contingency-Aware Exploration in Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #85
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #86
A Closer Look at Few-shot Classification
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #87
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #88
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #89
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #90
Selfless Sequential Learning
[
PDF]
Break
Wed May 08 10:45 AM -- 11:00 AM (PDT) @ Hall B-1
Coffee Break
Invited Talk
Wed May 08 12:30 PM -- 01:15 PM (PDT) @ Great Hall AD
While We're All Worried about Failures of Machine Learning, What Dangers Lurk If It (Mostly) Works?
Break
Wed May 08 01:00 PM -- 02:30 PM (PDT) @ on your own
Lunch - on your own
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #1
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #2
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #3
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #4
Learning to Make Analogies by Contrasting Abstract Relational Structure
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #5
Deep Frank-Wolfe For Neural Network Optimization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #6
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #7
A2BCD: Asynchronous Acceleration with Optimal Complexity
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #8
An analytic theory of generalization dynamics and transfer learning in deep linear networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #9
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #10
ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #11
Towards Understanding Regularization in Batch Normalization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #12
A Mean Field Theory of Batch Normalization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #13
Predicting the Generalization Gap in Deep Networks with Margin Distributions
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #14
An Empirical study of Binary Neural Networks' Optimisation
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #15
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #16
Efficient Training on Very Large Corpora via Gramian Estimation
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #17
Small nonlinearities in activation functions create bad local minima in neural networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #18
Fluctuation-dissipation relations for stochastic gradient descent
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #20
The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #21
Optimal Control Via Neural Networks: A Convex Approach
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #22
NOODL: Provable Online Dictionary Learning and Sparse Coding
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #23
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #24
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #25
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #26
Relaxed Quantization for Discretized Neural Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #27
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #28
signSGD with Majority Vote is Communication Efficient and Fault Tolerant
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #29
Preconditioner on Matrix Lie Group for SGD
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #30
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #31
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #32
Rethinking the Value of Network Pruning
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #33
Learning Embeddings into Entropic Wasserstein Spaces
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #34
Deep Layers as Stochastic Solvers
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #35
Initialized Equilibrium Propagation for Backprop-Free Training
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #36
Caveats for information bottleneck in deterministic scenarios
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #37
Learning Two-layer Neural Networks with Symmetric Inputs
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #38
Sparse Dictionary Learning by Dynamical Neural Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #39
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #40
Gradient descent aligns the layers of deep linear networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #41
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #42
Learning Self-Imitating Diverse Policies
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #43
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #44
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #46
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #47
The role of over-parametrization in generalization of neural networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #48
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #50
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #51
Learning concise representations for regression by evolving networks of trees
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #52
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #53
ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #54
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #55
Three Mechanisms of Weight Decay Regularization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #56
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #57
Quasi-hyperbolic momentum and Adam for deep learning
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #58
Towards Robust, Locally Linear Deep Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #59
InfoBot: Transfer and Exploration via the Information Bottleneck
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #61
Aggregated Momentum: Stability Through Passive Damping
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #62
From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #63
Riemannian Adaptive Optimization Methods
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #64
Regularized Learning for Domain Adaptation under Label Shifts
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #65
DeepOBS: A Deep Learning Optimizer Benchmark Suite
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #66
Fixup Initialization: Residual Learning Without Normalization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #67
Learning sparse relational transition models
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #68
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #69
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #70
A Kernel Random Matrix-Based Approach for Sparse PCA
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #71
SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #72
Critical Learning Periods in Deep Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #73
Local SGD Converges Fast and Communicates Little
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #74
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #75
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #76
Analysis of Quantized Models
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #77
Adaptive Estimators Show Information Compression in Deep Neural Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #78
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #79
Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #80
Decoupled Weight Decay Regularization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #81
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #82
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #83
Minimum Divergence vs. Maximum Margin: an Empirical Comparison on Seq2Seq Models
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #84
Subgradient Descent Learns Orthogonal Dictionaries
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #85
ProxQuant: Quantized Neural Networks via Proximal Operators
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #86
Systematic Generalization: What Is Required and Can It Be Learned?
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #87
Deep Anomaly Detection with Outlier Exposure
[
PDF]
Break
Wed May 08 04:15 PM -- 04:30 PM (PDT) @ Hall B-1
Coffee Break
Invited Talk
Thu May 09 07:00 AM -- 07:45 AM (PDT) @ Great Hall AD
Learning Natural Language Interfaces with Neural Models
Oral
Thu May 09 07:45 AM -- 08:00 AM (PDT) @ Great Hall AD
Pay Less Attention with Lightweight and Dynamic Convolutions
[
PDF]
[
Indexed Video]
Break
Thu May 09 08:00 AM -- 12:00 PM (PDT)
Registration Desk Open
Oral
Thu May 09 08:00 AM -- 08:15 AM (PDT) @ Great Hall AD
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
[
PDF]
[
Indexed Video]
Oral
Thu May 09 08:15 AM -- 08:30 AM (PDT) @ Great Hall AD
Smoothing the Geometry of Probabilistic Box Embeddings
[
PDF]
[
Indexed Video]
Oral
Thu May 09 08:30 AM -- 08:45 AM (PDT) @ Great Hall AD
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
[
PDF]
[
Indexed Video]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #1
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #3
Unsupervised Hyper-alignment for Multilingual Word Embeddings
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #4
textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #5
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #6
Generalized Tensor Models for Recurrent Neural Networks
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #7
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #8
Top-Down Neural Model For Formulae
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #9
Variational Smoothing in Recurrent Neural Network Language Models
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #10
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #11
DOM-Q-NET: Grounded RL on Structured Language
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #12
Poincare Glove: Hyperbolic Word Embeddings
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #13
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #14
Learning Recurrent Binary/Ternary Weights
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #15
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #16
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #17
Adaptive Input Representations for Neural Language Modeling
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #18
Neural Speed Reading with Structural-Jump-LSTM
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #19
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #20
Multilingual Neural Machine Translation with Knowledge Distillation
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #21
h-detach: Modifying the LSTM Gradient Towards Better Optimization
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #23
Multiple-Attribute Text Rewriting
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #24
RNNs implicitly implement tensor-product representations
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #25
Complement Objective Training
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #27
A Generative Model For Electron Paths
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #28
Smoothing the Geometry of Probabilistic Box Embeddings
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #29
Wizard of Wikipedia: Knowledge-Powered Conversational Agents
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #30
Understanding Composition of Word Embeddings via Tensor Decomposition
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #31
Multilingual Neural Machine Translation With Soft Decoupled Encoding
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #32
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #33
Characterizing Audio Adversarial Examples Using Temporal Dependency
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #34
Harmonic Unpaired Image-to-image Translation
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #35
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #36
Learning Implicitly Recurrent CNNs Through Parameter Sharing
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #37
Identifying and Controlling Important Neurons in Neural Machine Translation
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #38
Learning Finite State Representations of Recurrent Policy Networks
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #39
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #40
Learning protein sequence embeddings using information from structure
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #41
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #42
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #43
Transfer Learning for Sequences via Learning to Collocate
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #44
Hyperbolic Attention Networks
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #45
Hierarchical interpretations for neural network predictions
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #46
Hierarchical Generative Modeling for Controllable Speech Synthesis
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #47
Learning what and where to attend
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #48
Discovery of Natural Language Concepts in Individual Units of CNNs
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #49
Posterior Attention Models for Sequence to Sequence Learning
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #50
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #52
What do you learn from context? Probing for sentence structure in contextualized word representations
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #53
Music Transformer: Generating Music with Long-Term Structure
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #54
Representation Degeneration Problem in Training Natural Language Generation Models
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #55
Detecting Egregious Responses in Neural Sequence-to-sequence Models
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #57
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #58
Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #61
Trellis Networks for Sequence Modeling
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #63
Structured Neural Summarization
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #64
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #65
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #66
A Universal Music Translation Network
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #67
Guiding Policies with Language via Meta-Learning
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #68
Recurrent Experience Replay in Distributed Reinforcement Learning
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #69
Learning Multimodal Graph-to-Graph Translation for Molecule Optimization
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #71
DARTS: Differentiable Architecture Search
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #72
Pay Less Attention with Lightweight and Dynamic Convolutions
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #73
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #74
Quaternion Recurrent Neural Networks
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #76
Neural TTS Stylization with Adversarial and Collaborative Games
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #77
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #78
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #79
Improving Sequence-to-Sequence Learning via Optimal Transport
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #80
A Max-Affine Spline Perspective of Recurrent Neural Networks
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #81
No Training Required: Exploring Random Encoders for Sentence Classification
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #82
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #83
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #84
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #85
Learning to Understand Goal Specifications by Modelling Reward
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #86
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
[
PDF]
Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #87
Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning
[
PDF]
Break
Thu May 09 10:30 AM -- 11:00 AM (PDT) @ Hall B-1
Coffee Break (Rescheduled from 10:30 to 10:45)
Invited Talk
Thu May 09 12:30 PM -- 01:15 PM (PDT) @ Great Hall AD
Learning (from) language in context
Break
Thu May 09 01:00 PM -- 02:30 PM (PDT) @ on your own
Lunch - on your own
Oral
Thu May 09 01:15 PM -- 01:30 PM (PDT) @ Great Hall AD
Meta-Learning Update Rules for Unsupervised Representation Learning
[
PDF]
[
Indexed Video]
Oral
Thu May 09 01:30 PM -- 01:45 PM (PDT) @ Great Hall AD
Temporal Difference Variational Auto-Encoder
[
PDF]
[
Indexed Video]
Oral
Thu May 09 01:45 PM -- 02:00 PM (PDT) @ Great Hall AD
Transferring Knowledge across Learning Processes
[
PDF]
[
Indexed Video]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #1
Stable Opponent Shaping in Differentiable Games
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #2
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #3
Preventing Posterior Collapse with delta-VAEs
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #4
Spectral Inference Networks: Unifying Deep and Spectral Learning
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #5
Learning Programmatically Structured Representations with Perceptor Gradients
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #6
Variational Bayesian Phylogenetic Inference
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #7
Analyzing Inverse Problems with Invertible Neural Networks
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #8
Learning Representations of Sets through Optimized Permutations
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #9
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #10
Distribution-Interpolation Trade off in Generative Models
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #11
Diagnosing and Enhancing VAE Models
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #12
Generative Question Answering: Learning to Answer the Whole Question
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #13
Interpolation-Prediction Networks for Irregularly Sampled Time Series
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #14
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #15
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #16
Integer Networks for Data Compression with Latent-Variable Models
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #17
Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #18
MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #19
Deep, Skinny Neural Networks are not Universal Approximators
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #20
Function Space Particle Optimization for Bayesian Neural Networks
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #21
Measuring Compositionality in Representation Learning
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #22
Variational Autoencoders with Jointly Optimized Latent Dependency Structure
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #23
Learning Factorized Multimodal Representations
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #24
On the loss landscape of a class of deep neural networks with no bad local valleys
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #26
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #27
Label super-resolution networks
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #28
Learning from Positive and Unlabeled Data with a Selection Bias
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #29
Transferring Knowledge across Learning Processes
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #30
Deep learning generalizes because the parameter-function map is biased towards simple functions
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #31
Temporal Difference Variational Auto-Encoder
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #32
Practical lossless compression with latent variables using bits back coding
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #33
Unsupervised Control Through Non-Parametric Discriminative Rewards
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #34
Information Theoretic lower bounds on negative log likelihood
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #35
Unsupervised Domain Adaptation for Distance Metric Learning
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #36
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #37
Learning Neural PDE Solvers with Convergence Guarantees
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #39
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #41
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #42
Learning-Based Frequency Estimation Algorithms
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #43
Generative predecessor models for sample-efficient imitation learning
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #44
Efficient Augmentation via Data Subsampling
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #45
LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #46
Sliced Wasserstein Auto-Encoders
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #47
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #49
Feature-Wise Bias Amplification
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #50
Generating Liquid Simulations with Deformation-aware Neural Networks
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #51
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #52
Toward Understanding the Impact of Staleness in Distributed Machine Learning
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #53
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #54
GamePad: A Learning Environment for Theorem Proving
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #55
Active Learning with Partial Feedback
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #56
On the Turing Completeness of Modern Neural Network Architectures
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #57
Learning a Meta-Solver for Syntax-Guided Program Synthesis
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #58
DHER: Hindsight Experience Replay for Dynamic Goals
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #59
Spreading vectors for similarity search
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #60
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #61
Kernel Change-point Detection with Auxiliary Deep Generative Models
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #62
Do Deep Generative Models Know What They Don't Know?
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #63
Unsupervised Learning of the Set of Local Maxima
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #64
Modeling Uncertainty with Hedged Instance Embeddings
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #65
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #66
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #67
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #68
Attention, Learn to Solve Routing Problems!
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #69
Amortized Bayesian Meta-Learning
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #70
Meta-Learning Update Rules for Unsupervised Representation Learning
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #71
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #72
Variance Networks: When Expectation Does Not Meet Your Expectations
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #73
Wasserstein Barycenter Model Ensembling
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #74
Variational Autoencoder with Arbitrary Conditioning
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #75
Beyond Greedy Ranking: Slate Optimization via List-CVAE
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #76
Bayesian Policy Optimization for Model Uncertainty
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #77
Efficiently testing local optimality and escaping saddles for ReLU networks
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #78
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks
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Break
Thu May 09 04:00 PM -- 04:30 PM (PDT) @ Hall B-1
Coffee Break
Break
Thu May 09 06:30 PM -- 08:30 PM (PDT) @ Great Hall Pre-Function, Hall B-1
Closing Reception