Toggle Poster Visibility
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
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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
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Indexed Video]
Oral
Thu May 09 08:15 AM -- 08:30 AM (PDT) @ Great Hall AD
Smoothing the Geometry of Probabilistic Box Embeddings
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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
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #3
Unsupervised Hyper-alignment for Multilingual Word Embeddings
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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
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #6
Generalized Tensor Models for Recurrent Neural Networks
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #8
Top-Down Neural Model For Formulae
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #9
Variational Smoothing in Recurrent Neural Network Language Models
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #11
DOM-Q-NET: Grounded RL on Structured Language
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #12
Poincare Glove: Hyperbolic Word Embeddings
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #13
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #14
Learning Recurrent Binary/Ternary Weights
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #15
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #17
Adaptive Input Representations for Neural Language Modeling
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #18
Neural Speed Reading with Structural-Jump-LSTM
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #20
Multilingual Neural Machine Translation with Knowledge Distillation
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #21
h-detach: Modifying the LSTM Gradient Towards Better Optimization
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #23
Multiple-Attribute Text Rewriting
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #24
RNNs implicitly implement tensor-product representations
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #25
Complement Objective Training
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #27
A Generative Model For Electron Paths
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #28
Smoothing the Geometry of Probabilistic Box Embeddings
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #29
Wizard of Wikipedia: Knowledge-Powered Conversational Agents
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #30
Understanding Composition of Word Embeddings via Tensor Decomposition
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #31
Multilingual Neural Machine Translation With Soft Decoupled Encoding
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #33
Characterizing Audio Adversarial Examples Using Temporal Dependency
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #34
Harmonic Unpaired Image-to-image Translation
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #36
Learning Implicitly Recurrent CNNs Through Parameter Sharing
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #37
Identifying and Controlling Important Neurons in Neural Machine Translation
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #38
Learning Finite State Representations of Recurrent Policy Networks
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #39
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #40
Learning protein sequence embeddings using information from structure
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #41
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #43
Transfer Learning for Sequences via Learning to Collocate
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #44
Hyperbolic Attention Networks
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #45
Hierarchical interpretations for neural network predictions
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #46
Hierarchical Generative Modeling for Controllable Speech Synthesis
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #47
Learning what and where to attend
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #49
Posterior Attention Models for Sequence to Sequence Learning
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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
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #53
Music Transformer: Generating Music with Long-Term Structure
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #54
Representation Degeneration Problem in Training Natural Language Generation Models
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #55
Detecting Egregious Responses in Neural Sequence-to-sequence Models
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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
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #61
Trellis Networks for Sequence Modeling
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #63
Structured Neural Summarization
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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
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #66
A Universal Music Translation Network
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #67
Guiding Policies with Language via Meta-Learning
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #68
Recurrent Experience Replay in Distributed Reinforcement Learning
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #69
Learning Multimodal Graph-to-Graph Translation for Molecule Optimization
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #71
DARTS: Differentiable Architecture Search
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #72
Pay Less Attention with Lightweight and Dynamic Convolutions
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #74
Quaternion Recurrent Neural Networks
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #76
Neural TTS Stylization with Adversarial and Collaborative Games
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #77
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #79
Improving Sequence-to-Sequence Learning via Optimal Transport
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #80
A Max-Affine Spline Perspective of Recurrent Neural Networks
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #81
No Training Required: Exploring Random Encoders for Sentence Classification
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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
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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
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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
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Poster
Thu May 09 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #85
Learning to Understand Goal Specifications by Modelling Reward
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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
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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
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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
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Indexed Video]
Oral
Thu May 09 01:30 PM -- 01:45 PM (PDT) @ Great Hall AD
Temporal Difference Variational Auto-Encoder
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Indexed Video]
Oral
Thu May 09 01:45 PM -- 02:00 PM (PDT) @ Great Hall AD
Transferring Knowledge across Learning Processes
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Indexed Video]
Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #1
Stable Opponent Shaping in Differentiable Games
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #2
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #3
Preventing Posterior Collapse with delta-VAEs
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #4
Spectral Inference Networks: Unifying Deep and Spectral Learning
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #5
Learning Programmatically Structured Representations with Perceptor Gradients
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #6
Variational Bayesian Phylogenetic Inference
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #7
Analyzing Inverse Problems with Invertible Neural Networks
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #8
Learning Representations of Sets through Optimized Permutations
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #9
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #10
Distribution-Interpolation Trade off in Generative Models
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #11
Diagnosing and Enhancing VAE Models
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #12
Generative Question Answering: Learning to Answer the Whole Question
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #13
Interpolation-Prediction Networks for Irregularly Sampled Time Series
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #14
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #15
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #16
Integer Networks for Data Compression with Latent-Variable Models
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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
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #18
MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #19
Deep, Skinny Neural Networks are not Universal Approximators
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #20
Function Space Particle Optimization for Bayesian Neural Networks
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #21
Measuring Compositionality in Representation Learning
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Poster
Thu May 09 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #22
Variational Autoencoders with Jointly Optimized Latent Dependency Structure
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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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PDF]
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