181
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Invited Talk
Tue May 7th 09:00 -- 09:45 AM @ Great Hall AD
Can Machine Learning Help to Conduct a Planetary Healthcheck?
Workshop
Tue May 7th 09:00 AM -- 06:30 PM @ Room R01
LatinX in AI and Black in AI Joint Workshop
Oral
Tue May 7th 09:45 -- 10:00 AM @ Great Hall AD
Learning Protein Structure with a Differentiable Simulator
Oral
Tue May 7th 10:00 -- 10:15 AM @ Great Hall AD
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
Oral
Tue May 7th 10:15 -- 10:30 AM @ Great Hall AD
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #1
Random mesh projectors for inverse problems
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #2
Improving MMD-GAN Training with Repulsive Loss Function
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #3
STCN: Stochastic Temporal Convolutional Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #4
GENERATING HIGH FIDELITY IMAGES WITH SUBSCALE PIXEL NETWORKS AND MULTIDIMENSIONAL UPSCALING
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #5
Diversity and Depth in Per-Example Routing Models
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #6
GANSynth: Adversarial Neural Audio Synthesis
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #7
Value Propagation Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #8
Visual Reasoning by Progressive Module Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #9
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #10
Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #11
Time-Agnostic Prediction: Predicting Predictable Video Frames
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #12
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #13
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #14
Human-level Protein Localization with Convolutional Neural Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #15
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #16
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #17
Differentiable Learning-to-Normalize via Switchable Normalization
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #18
Learning a SAT Solver from Single-Bit Supervision
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #19
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #20
Unsupervised Discovery of Parts, Structure, and Dynamics
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #21
ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #22
Unsupervised Adversarial Image Reconstruction
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #23
Explaining Image Classifiers by Counterfactual Generation
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #24
Equi-normalization of Neural Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #25
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #26
ADef: an Iterative Algorithm to Construct Adversarial Deformations
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #27
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #28
Meta-Learning with Latent Embedding Optimization
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #29
Diversity-Sensitive Conditional Generative Adversarial Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #30
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #31
Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #32
Generating Multiple Objects at Spatially Distinct Locations
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #33
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #34
A rotation-equivariant convolutional neural network model of primary visual cortex
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #35
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #36
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #37
Deep Convolutional Networks as shallow Gaussian Processes
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #38
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #39
Learning Protein Structure with a Differentiable Simulator
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #40
Latent Convolutional Models
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #41
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #42
Diffusion Scattering Transforms on Graphs
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #43
Spherical CNNs on Unstructured Grids
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #44
Learning To Simulate
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #45
The Singular Values of Convolutional Layers
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #46
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #47
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #48
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #49
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #50
Mode Normalization
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #51
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #52
Neural network gradient-based learning of black-box function interfaces
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #53
BA-Net: Dense Bundle Adjustment Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #54
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #55
Residual Non-local Attention Networks for Image Restoration
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #56
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #57
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #58
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #59
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #60
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #61
Context-adaptive Entropy Model for End-to-end Optimized Image Compression
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #62
StrokeNet: A Neural Painting Environment
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #63
Dynamic Channel Pruning: Feature Boosting and Suppression
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #64
Learning to Infer and Execute 3D Shape Programs
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #65
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #66
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #67
AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #68
Visual Semantic Navigation using Scene Priors
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #69
Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #70
DPSNet: End-to-end Deep Plane Sweep Stereo
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #71
Learning what you can do before doing anything
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #72
Learning to Describe Scenes with Programs
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #73
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #74
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #75
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #76
code2seq: Generating Sequences from Structured Representations of Code
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #77
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #78
Learning Mixed-Curvature Representations in Product Spaces
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #79
InstaGAN: Instance-aware Image-to-Image Translation
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #80
Multi-class classification without multi-class labels
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #81
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #82
Feature Intertwiner for Object Detection
Poster
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #83
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Invited Talk
Tue May 7th 02:30 -- 03:15 PM @ Great Hall AD
Adversarial Machine Learning
Oral
Tue May 7th 03:15 -- 03:30 PM @ Great Hall AD
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Oral
Tue May 7th 03:30 -- 03:45 PM @ Great Hall AD
Learning to Remember More with Less Memorization
Oral
Tue May 7th 03:45 -- 04:00 PM @ Great Hall AD
Learning Robust Representations by Projecting Superficial Statistics Out
Oral
Tue May 7th 04:00 -- 04:15 PM @ Great Hall AD
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #1
SNAS: stochastic neural architecture search
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #2
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #3
Improving Generalization and Stability of Generative Adversarial Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #4
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #5
L2-Nonexpansive Neural Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #6
A Variational Inequality Perspective on Generative Adversarial Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #7
PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #8
Revealing interpretable object representations from human behavior
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #9
Robust Conditional Generative Adversarial Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #10
Learning Robust Representations by Projecting Superficial Statistics Out
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #11
Towards GAN Benchmarks Which Require Generalization
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #12
Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #13
Learnable Embedding Space for Efficient Neural Architecture Compression
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #14
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #15
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #16
CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #18
signSGD via Zeroth-Order Oracle
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #19
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #20
Generative Code Modeling with Graphs
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #21
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #22
How Powerful are Graph Neural Networks?
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #23
Graph Wavelet Neural Network
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #24
Whitening and Coloring Batch Transform for GANs
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #25
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #26
Boosting Robustness Certification of Neural Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #27
Conditional Network Embeddings
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #28
Multi-Domain Adversarial Learning
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #29
Learning to Remember More with Less Memorization
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #30
RelGAN: Relational Generative Adversarial Networks for Text Generation
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #31
A Statistical Approach to Assessing Neural Network Robustness
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #32
Robustness May Be at Odds with Accuracy
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #33
Verification of Non-Linear Specifications for Neural Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #34
Capsule Graph Neural Network
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #35
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #36
The Unusual Effectiveness of Averaging in GAN Training
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #37
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #38
Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #39
On Self Modulation for Generative Adversarial Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #40
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #41
Large Scale Graph Learning From Smooth Signals
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #42
Approximability of Discriminators Implies Diversity in GANs
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #43
On the Sensitivity of Adversarial Robustness to Input Data Distributions
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #44
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #45
GO Gradient for Expectation-Based Objectives
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #46
Discriminator Rejection Sampling
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #47
Don't let your Discriminator be fooled
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #48
Supervised Community Detection with Line Graph Neural Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #49
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #50
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #51
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #52
Adversarial Imitation via Variational Inverse Reinforcement Learning
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #53
Adversarial Attacks on Graph Neural Networks via Meta Learning
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #54
Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #55
Defensive Quantization: When Efficiency Meets Robustness
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #56
INVASE: Instance-wise Variable Selection using Neural Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #57
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #58
The relativistic discriminator: a key element missing from standard GAN
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #59
Are adversarial examples inevitable?
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #60
Cost-Sensitive Robustness against Adversarial Examples
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #61
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #62
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #63
Adversarial Reprogramming of Neural Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #64
Invariant and Equivariant Graph Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #65
Excessive Invariance Causes Adversarial Vulnerability
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #66
On Computation and Generalization of Generative Adversarial Networks under Spectrum Control
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #67
Dynamic Sparse Graph for Efficient Deep Learning
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #68
SPIGAN: Privileged Adversarial Learning from Simulation
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #69
Towards the first adversarially robust neural network model on MNIST
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #70
A Direct Approach to Robust Deep Learning Using Adversarial Networks
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #72
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #73
Graph HyperNetworks for Neural Architecture Search
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #74
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #75
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #76
DyRep: Learning Representations over Dynamic Graphs
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #77
Deep reinforcement learning with relational inductive biases
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #78
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #79
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #80
Improving the Generalization of Adversarial Training with Domain Adaptation
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #81
Sample Efficient Imitation Learning for Continuous Control
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #82
Generalizable Adversarial Training via Spectral Normalization
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #83
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #84
DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS
Poster
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #85
The Limitations of Adversarial Training and the Blind-Spot Attack