Toggle Poster Visibility
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
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #27
Label super-resolution networks
[
PDF]
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
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #29
Transferring Knowledge across Learning Processes
[
PDF]
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
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #31
Temporal Difference Variational Auto-Encoder
[
PDF]
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
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #33
Unsupervised Control Through Non-Parametric Discriminative Rewards
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #34
Information Theoretic lower bounds on negative log likelihood
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #35
Unsupervised Domain Adaptation for Distance Metric Learning
[
PDF]
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
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #37
Learning Neural PDE Solvers with Convergence Guarantees
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #39
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
[
PDF]
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
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #42
Learning-Based Frequency Estimation Algorithms
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #43
Generative predecessor models for sample-efficient imitation learning
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #44
Efficient Augmentation via Data Subsampling
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #45
LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #46
Sliced Wasserstein Auto-Encoders
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #47
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #49
Feature-Wise Bias Amplification
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #50
Generating Liquid Simulations with Deformation-aware Neural Networks
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #53
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #54
GamePad: A Learning Environment for Theorem Proving
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #55
Active Learning with Partial Feedback
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #56
On the Turing Completeness of Modern Neural Network Architectures
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #57
Learning a Meta-Solver for Syntax-Guided Program Synthesis
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #58
DHER: Hindsight Experience Replay for Dynamic Goals
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #59
Spreading vectors for similarity search
[
PDF]
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
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #61
Kernel Change-point Detection with Auxiliary Deep Generative Models
[
PDF]
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?
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #63
Unsupervised Learning of the Set of Local Maxima
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #64
Modeling Uncertainty with Hedged Instance Embeddings
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #65
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
[
PDF]
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
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #67
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #68
Attention, Learn to Solve Routing Problems!
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #69
Amortized Bayesian Meta-Learning
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #70
Meta-Learning Update Rules for Unsupervised Representation Learning
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #71
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #72
Variance Networks: When Expectation Does Not Meet Your Expectations
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #73
Wasserstein Barycenter Model Ensembling
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #74
Variational Autoencoder with Arbitrary Conditioning
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #75
Beyond Greedy Ranking: Slate Optimization via List-CVAE
[
PDF]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #76
Bayesian Policy Optimization for Model Uncertainty
[
PDF]
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
[
PDF]
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
[
PDF]