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Invited Talk
Mon Apr 30 09:00 AM -- 09:45 AM (PDT) @ Exhibition Hall A
What Can Machine Learning Do? Workforce Implications
In
Mon AM Talks
Oral
Mon Apr 30 09:45 AM -- 10:00 AM (PDT) @ Exhibition Hall A
Spectral Normalization for Generative Adversarial Networks
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Mon AM Talks
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Oral
Mon Apr 30 10:00 AM -- 10:15 AM (PDT) @ Exhibition Hall A
AmbientGAN: Generative models from lossy measurements
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Mon AM Talks
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Oral
Mon Apr 30 10:15 AM -- 10:30 AM (PDT) @ Exhibition Hall A
Progressive Growing of GANs for Improved Quality, Stability, and Variation
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Mon AM Talks
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Break
Mon Apr 30 10:30 AM -- 11:00 AM (PDT) @ East Meeting Level, rooms 13/14 & 19/20
Coffee Break
In
Mon AM Talks
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #1
Deep Complex Networks
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #2
Universal Agent for Disentangling Environments and Tasks
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #3
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #4
Fraternal Dropout
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #5
Learning an Embedding Space for Transferable Robot Skills
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #6
Hierarchical Density Order Embeddings
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #7
Model compression via distillation and quantization
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #8
Maximum a Posteriori Policy Optimisation
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #9
MaskGAN: Better Text Generation via Filling in the _______
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #10
Kronecker-factored Curvature Approximations for Recurrent Neural Networks
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #11
Scalable Private Learning with PATE
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #12
Online Learning Rate Adaptation with Hypergradient Descent
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #13
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #14
Learning Awareness Models
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #15
On the regularization of Wasserstein GANs
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #16
Spatially Transformed Adversarial Examples
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #17
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #18
Communication Algorithms via Deep Learning
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #19
Towards Image Understanding from Deep Compression Without Decoding
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #20
Unsupervised Machine Translation Using Monolingual Corpora Only
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #21
Boosting the Actor with Dual Critic
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #22
A DIRT-T Approach to Unsupervised Domain Adaptation
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #23
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #24
Parametrized Hierarchical Procedures for Neural Programming
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #25
Auto-Encoding Sequential Monte Carlo
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #26
Syntax-Directed Variational Autoencoder for Structured Data
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #27
Learn to Pay Attention
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #28
The power of deeper networks for expressing natural functions
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #29
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #30
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #31
Divide and Conquer Networks
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #32
Hierarchical Representations for Efficient Architecture Search
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #33
On the insufficiency of existing momentum schemes for Stochastic Optimization
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #34
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #35
Towards Deep Learning Models Resistant to Adversarial Attacks
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #36
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #37
Neural Speed Reading via Skim-RNN
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #38
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #39
Gradient Estimators for Implicit Models
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #40
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #41
When is a Convolutional Filter Easy to Learn?
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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #42
MGAN: Training Generative Adversarial Nets with Multiple Generators
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #1
Feature Incay for Representation Regularization
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #2
Capturing Human Category Representations by Sampling in Deep Feature Spaces
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #3
STOCHASTIC GRADIENT LANGEVIN DYNAMICS THAT EXPLOIT NEURAL NETWORK STRUCTURE
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #4
Towards Mixed-initiative generation of multi-channel sequential structure
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #5
Semi-Supervised Learning With GANs: Revisiting Manifold Regularization
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #6
Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #7
Differentiable Neural Network Architecture Search
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #8
Towards Specification-Directed Program Repair
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #9
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #10
ShakeDrop regularization
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #11
Faster Neural Networks Straight from JPEG
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #12
Generative Modeling for Protein Structures
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #13
Selecting the Best in GANs Family: a Post Selection Inference Framework
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #14
Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #15
A Language and Compiler View on Differentiable Programming
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #16
Tempered Adversarial Networks
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #17
Towards Provable Control for Unknown Linear Dynamical Systems
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #18
LSTM Iteration Networks: An Exploration of Differentiable Path Finding
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #19
Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #20
Policy Optimization with Second-Order Advantage Information
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #21
Deep Convolutional Malware Classifiers Can Learn from Raw Executables and Labels Only
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #22
TransNets for Review Generation
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #23
Extending the Framework of Equilibrium Propagation to General Dynamics
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Workshop
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #25
Tree-to-tree Neural Networks for Program Translation
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Invited Talk
Mon Apr 30 02:30 PM -- 03:15 PM (PDT) @ Exhibition Hall A
Learning Causal Mechanisms
In
Mon PM Talks
Oral
Mon Apr 30 03:15 PM -- 03:30 PM (PDT) @ Exhibition Hall A
Wasserstein Auto-Encoders
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Mon PM Talks
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Oral
Mon Apr 30 03:30 PM -- 03:45 PM (PDT) @ Exhibition Hall A
On the Convergence of Adam and Beyond
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Mon PM Talks
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Oral
Mon Apr 30 03:45 PM -- 04:00 PM (PDT) @ Exhibition Hall A
On the insufficiency of existing momentum schemes for Stochastic Optimization
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Mon PM Talks
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #1
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #2
Distributed Distributional Deterministic Policy Gradients
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #4
Learning a Generative Model for Validity in Complex Discrete Structures
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #5
TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #6
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #7
Lifelong Learning with Dynamically Expandable Networks
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #8
Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #9
Quantitatively Evaluating GANs With Divergences Proposed for Training
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Attacking Binarized Neural Networks
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #11
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Zero-Shot Visual Imitation
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #13
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #14
Imitation Learning from Visual Data with Multiple Intentions
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
Demystifying MMD GANs
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
A Framework for the Quantitative Evaluation of Disentangled Representations
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
Decision Boundary Analysis of Adversarial Examples
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #18
Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #19
Compositional Attention Networks for Machine Reasoning
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #20
Memory-based Parameter Adaptation
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Semi-parametric topological memory for navigation
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
On the Information Bottleneck Theory of Deep Learning
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #24
Sensitivity and Generalization in Neural Networks: an Empirical Study
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #25
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #26
Skip Connections Eliminate Singularities
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #27
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #28
Simulating Action Dynamics with Neural Process Networks
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #29
Twin Networks: Matching the Future for Sequence Generation
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Fast and Accurate Reading Comprehension by Combining Self-Attention and Convolution
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Multi-Mention Learning for Reading Comprehension with Neural Cascades
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #33
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #34
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #35
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #36
The Kanerva Machine: A Generative Distributed Memory
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #37
Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Deep Active Learning for Named Entity Recognition
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #39
Variational Network Quantization
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #41
Cascade Adversarial Machine Learning Regularized with a Unified Embedding
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Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #42
Training and Inference with Integers in Deep Neural Networks
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #1
Winner's Curse? On Pace, Progress, and Empirical Rigor
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #3
Realistic Evaluation of Semi-Supervised Learning Algorithms
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #4
Learning to Learn Without Labels
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #5
MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #6
Conditional Networks for Few-Shot Semantic Segmentation
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #7
An Optimization View on Dynamic Routing Between Capsules
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #8
Gradients explode - Deep Networks are shallow - ResNet explained
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #9
Learning Invariance with Compact Transforms
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #10
An interpretable LSTM neural network for autoregressive exogenous model
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #11
Are Efficient Deep Representations Learnable?
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #12
FigureQA: An Annotated Figure Dataset for Visual Reasoning
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #13
Learning via social awareness: improving sketch representations with facial feedback
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #14
HoME: a Household Multimodal Environment
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #15
Negative eigenvalues of the Hessian in deep neural networks
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #16
GILBO: One Metric to Measure Them All
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #17
GitGraph - from Computational Subgraphs to Smaller Architecture Search Spaces
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #18
Combating Adversarial Attacks Using Sparse Representations
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #19
Bayesian Incremental Learning for Deep Neural Networks
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #20
Can Deep Reinforcement Learning solve Erdos-Selfridge-Spencer Games?
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #21
Predict Responsibly: Increasing Fairness by Learning to Defer
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #22
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #23
Semiparametric Reinforcement Learning
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #24
Learning Deep Models: Critical Points and Local Openness
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #25
Pelee: A Real-Time Object Detection System on Mobile Devices
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Workshop
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #26
ComboGAN: Unrestricted Scalability for Image Domain Translation
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