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Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #1
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data
In Tue Poster Session A
Xenia Miscouridou · Francois Caron · Yee Whye Teh
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #2
The Lingering of Gradients: How to Reuse Gradients Over Time
In Tue Poster Session A
Zeyuan Allen-Zhu · David Simchi-Levi · Xinshang Wang
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #3
Quadratic Decomposable Submodular Function Minimization
In Tue Poster Session A
Pan Li · Niao He · Olgica Milenkovic
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #4
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport
In Tue Poster Session A
Lénaïc Chizat · Francis Bach
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #5
Leveraging the Exact Likelihood of Deep Latent Variable Models
In Tue Poster Session A
Pierre-Alexandre Mattei · Jes Frellsen
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #6
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
In Tue Poster Session A
Arash Vahdat · Evgeny Andriyash · William Macready
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #7
Amortized Inference Regularization
In Tue Poster Session A
Rui Shu · Hung Bui · Shengjia Zhao · Mykel J Kochenderfer · Stefano Ermon
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #8
GumBolt: Extending Gumbel trick to Boltzmann priors
In Tue Poster Session A
Amir H Khoshaman · Mohammad Amin
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #9
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
In Tue Poster Session A
Tengfei Ma · Jie Chen · Cao Xiao
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #10
Invertibility of Convolutional Generative Networks from Partial Measurements
In Tue Poster Session A
Fangchang Ma · Ulas Ayaz · Sertac Karaman
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #11
Glow: Generative Flow with Invertible 1x1 Convolutions
In Tue Poster Session A
Diederik Kingma · Prafulla Dhariwal
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #12
Multimodal Generative Models for Scalable Weakly-Supervised Learning
In Tue Poster Session A
Mike Wu · Noah Goodman
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #13
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
In Tue Poster Session A
Huaibo Huang · zhihang li · Ran He · Zhenan Sun · Tieniu Tan
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #14
Towards Text Generation with Adversarially Learned Neural Outlines
In Tue Poster Session A
Sandeep Subramanian · Sai Rajeswar Mudumba · Alessandro Sordoni · Adam Trischler · Aaron Courville · Chris Pal
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #15
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound
In Tue Poster Session A
Hadi Kazemi · Sobhan Soleymani · Fariborz Taherkhani · Seyed Iranmanesh · Nasser Nasrabadi
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #16
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision
In Tue Poster Session A
Rakshith R Shetty · Mario Fritz · Bernt Schiele
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #17
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
In Tue Poster Session A
Boris Muzellec · Marco Cuturi
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #18
Banach Wasserstein GAN
In Tue Poster Session A
Jonas Adler · Sebastian Lunz
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #19
A Convex Duality Framework for GANs
In Tue Poster Session A
Farzan Farnia · David Tse
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #20
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
In Tue Poster Session A
Maziar Sanjabi · Jimmy Ba · Meisam Razaviyayn · Jason Lee
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #21
On gradient regularizers for MMD GANs
In Tue Poster Session A
Michael Arbel · Danica J. Sutherland · Mikołaj Bińkowski · Arthur Gretton
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #22
PacGAN: The power of two samples in generative adversarial networks
In Tue Poster Session A
Zinan Lin · Ashish Khetan · Giulia Fanti · Sewoong Oh
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #23
Are GANs Created Equal? A Large-Scale Study
In Tue Poster Session A
Mario Lucic · Karol Kurach · Marcin Michalski · Sylvain Gelly · Olivier Bousquet
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #24
Disconnected Manifold Learning for Generative Adversarial Networks
In Tue Poster Session A
Mahyar Khayatkhoei · Maneesh Singh · Ahmed Elgammal
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #25
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
In Tue Poster Session A
Zhewei Yao · Amir Gholami · Qi Lei · Kurt Keutzer · Michael Mahoney
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #26
Fast and Effective Robustness Certification
In Tue Poster Session A
Gagandeep Singh · Timon Gehr · Matthew Mirman · Markus Püschel · Martin Vechev
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #27
Graphical Generative Adversarial Networks
In Tue Poster Session A
Chongxuan LI · Max Welling · Jun Zhu · Bo Zhang
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #28
Deep Defense: Training DNNs with Improved Adversarial Robustness
In Tue Poster Session A
Ziang Yan · Yiwen Guo · Changshui Zhang
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #29
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
In Tue Poster Session A
Jacob Harer · Onur Ozdemir · Tomo Lazovich · Christopher Reale · Rebecca Russell · Louis Kim · Peter Chin
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #30
Memory Replay GANs: Learning to Generate New Categories without Forgetting
In Tue Poster Session A
Chenshen Wu · Luis Herranz · Xialei Liu · yaxing wang · Joost van de Weijer · Bogdan Raducanu
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #31
Unsupervised Attention-guided Image-to-Image Translation
In Tue Poster Session A
Youssef Alami Mejjati · Christian Richardt · James Tompkin · Darren Cosker · Kwang In Kim
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #32
Conditional Adversarial Domain Adaptation
In Tue Poster Session A
Mingsheng Long · ZHANGJIE CAO · Jianmin Wang · Michael Jordan
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #33
Video-to-Video Synthesis
In Tue Poster Session A
Ting-Chun Wang · Ming-Yu Liu · Jun-Yan Zhu · Guilin Liu · Andrew Tao · Jan Kautz · Bryan Catanzaro
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #34
Generalized Zero-Shot Learning with Deep Calibration Network
In Tue Poster Session A
Shichen Liu · Mingsheng Long · Jianmin Wang · Michael Jordan
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #35
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
In Tue Poster Session A
Hang Gao · Zheng Shou · Alireza Zareian · Hanwang Zhang · Shih-Fu Chang
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #36
Trading robust representations for sample complexity through self-supervised visual experience
In Tue Poster Session A
Andrea Tacchetti · Stephen Voinea · Georgios Evangelopoulos
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #37
TADAM: Task dependent adaptive metric for improved few-shot learning
In Tue Poster Session A
Boris Oreshkin · Pau Rodríguez López · Alexandre Lacoste
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #38
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
In Tue Poster Session A
Shuyang Sun · Jiangmiao Pang · Jianping Shi · Shuai Yi · Wanli Ouyang
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #39
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
In Tue Poster Session A
Hyeonseob Nam · Hyo-Eun Kim
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #40
A^2-Nets: Double Attention Networks
In Tue Poster Session A
Yunpeng Chen · Yannis Kalantidis · Jianshu Li · Shuicheng Yan · Jiashi Feng
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #41
Pelee: A Real-Time Object Detection System on Mobile Devices
In Tue Poster Session A
Robert J. Wang · Tanner Bohn · Charles Ling
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #42
PointCNN: Convolution On X-Transformed Points
In Tue Poster Session A
Yangyan Li · Rui Bu · Mingchao Sun · Wei Wu · Xinhan Di · Baoquan Chen
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #43
Deep Neural Networks with Box Convolutions
In Tue Poster Session A
Egor Burkov · Victor Lempitsky
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #44
An intriguing failing of convolutional neural networks and the CoordConv solution
In Tue Poster Session A
Rosanne Liu · Joel Lehman · Piero Molino · Felipe Petroski Such · Eric Frank · Alex Sergeev · Jason Yosinski
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #45
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
In Tue Poster Session A
Maurice Weiler · Wouter Boomsma · Mario Geiger · Max Welling · Taco Cohen
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #46
Moonshine: Distilling with Cheap Convolutions
In Tue Poster Session A
Elliot Crowley · Gavia Gray · Amos Storkey
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #47
Kalman Normalization: Normalizing Internal Representations Across Network Layers
In Tue Poster Session A
Guangrun Wang · jiefeng peng · Ping Luo · Xinjiang Wang · Liang Lin
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #48
SplineNets: Continuous Neural Decision Graphs
In Tue Poster Session A
Cem Keskin · Shahram Izadi
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #49
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
In Tue Poster Session A
Liheng Zhang · Marzieh Edraki · Guo-Jun Qi
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #50
Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients?
In Tue Poster Session A
Boris Hanin
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #51
Exact natural gradient in deep linear networks and its application to the nonlinear case
In Tue Poster Session A
Alberto Bernacchia · Mate Lengyel · Guillaume Hennequin
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #52
Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis
In Tue Poster Session A
Thomas George · César Laurent · Xavier Bouthillier · Nicolas Ballas · Pascal Vincent
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #53
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization
In Tue Poster Session A
Yuanxiang Gao · Li Chen · Baochun Li
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #54
Paraphrasing Complex Network: Network Compression via Factor Transfer
In Tue Poster Session A
Jangho Kim · Seonguk Park · Nojun Kwak
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #55
Learning Compressed Transforms with Low Displacement Rank
In Tue Poster Session A
Anna Thomas · Albert Gu · Tri Dao · Atri Rudra · Christopher Ré
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #56
Knowledge Distillation by On-the-Fly Native Ensemble
In Tue Poster Session A
xu lan · Xiatian Zhu · Shaogang Gong
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #57
Scalable methods for 8-bit training of neural networks
In Tue Poster Session A
Ron Banner · Itay Hubara · Elad Hoffer · Daniel Soudry
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #58
Training Deep Models Faster with Robust, Approximate Importance Sampling
In Tue Poster Session A
Tyler Johnson · Carlos Guestrin
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #59
Collaborative Learning for Deep Neural Networks
In Tue Poster Session A
Guocong Song · Wei Chai
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #60
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication
In Tue Poster Session A
Peng Jiang · Gagan Agrawal
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #61
Bayesian Distributed Stochastic Gradient Descent
In Tue Poster Session A
Michael Teng · Frank Wood
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #62
Regularizing by the Variance of the Activations' Sample-Variances
In Tue Poster Session A
Etai Littwin · Lior Wolf
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #63
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training
In Tue Poster Session A
Songtao Wang · Dan Li · Yang Cheng · Jinkun Geng · Yanshu Wang · Shuai Wang · Shu-Tao Xia · Jianping Wu
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #64
L4: Practical loss-based stepsize adaptation for deep learning
In Tue Poster Session A
Michal Rolinek · Georg Martius
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #65
Synaptic Strength For Convolutional Neural Network
In Tue Poster Session A
CHEN LIN · Zhao Zhong · Wu Wei · Junjie Yan
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #66
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
In Tue Poster Session A
Hongyang Gao · Zhengyang Wang · Shuiwang Ji
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #67
Frequency-Domain Dynamic Pruning for Convolutional Neural Networks
In Tue Poster Session A
Zhenhua Liu · Jizheng Xu · Xiulian Peng · Ruiqin Xiong
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #68
TETRIS: TilE-matching the TRemendous Irregular Sparsity
In Tue Poster Session A
Yu Ji · Ling Liang · Lei Deng · Youyang Zhang · Youhui Zhang · Yuan Xie
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #69
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
In Tue Poster Session A
Joshua Fromm · Shwetak Patel · Matthai Philipose
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #70
HitNet: Hybrid Ternary Recurrent Neural Network
In Tue Poster Session A
Peiqi Wang · Xinfeng Xie · Lei Deng · Guoqi Li · Dongsheng Wang · Yuan Xie
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #71
A General Method for Amortizing Variational Filtering
In Tue Poster Session A
Joseph Marino · Milan Cvitkovic · Yisong Yue
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #72
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices
In Tue Poster Session A
Don Dennis · Chirag Pabbaraju · Harsha Vardhan Simhadri · Prateek Jain
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #73
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
In Tue Poster Session A
Minjia Zhang · Wenhan Wang · Xiaodong Liu · Jianfeng Gao · Yuxiong He
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #74
Representer Point Selection for Explaining Deep Neural Networks
In Tue Poster Session A
Chih-Kuan Yeh · Joon Kim · Ian En-Hsu Yen · Pradeep Ravikumar
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #75
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections
In Tue Poster Session A
Xin Zhang · Armando Solar-Lezama · Rishabh Singh
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #76
DropMax: Adaptive Variational Softmax
In Tue Poster Session A
Hae Beom Lee · Juho Lee · Saehoon Kim · Eunho Yang · Sung Ju Hwang
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #77
Out-of-Distribution Detection using Multiple Semantic Label Representations
In Tue Poster Session A
Gabi Shalev · Yossi Adi · Joseph Keshet
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #78
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems
In Tue Poster Session A
Linfeng Zhang · Jiequn Han · Han Wang · Wissam Saidi · Roberto Car · Weinan E
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #79
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition
In Tue Poster Session A
Kuan Han · Haiguang Wen · Yizhen Zhang · Di Fu · Eugenio Culurciello · Zhongming Liu
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #80
SLAYER: Spike Layer Error Reassignment in Time
In Tue Poster Session A
Sumit Bam Shrestha · Garrick Orchard
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #81
DeepPINK: reproducible feature selection in deep neural networks
In Tue Poster Session A
Yang Lu · Yingying Fan · Jinchi Lv · William Stafford Noble
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #82
Learning long-range spatial dependencies with horizontal gated recurrent units
In Tue Poster Session A
Drew Linsley · Junkyung Kim · Vijay Veerabadran · Charles Windolf · Thomas Serre
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #83
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability
In Tue Poster Session A
Michael Tsang · Hanpeng Liu · Sanjay Purushotham · Pavankumar Murali · Yan Liu
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #84
A Bridging Framework for Model Optimization and Deep Propagation
In Tue Poster Session A
Risheng Liu · Shichao Cheng · xiaokun liu · Long Ma · Xin Fan · Zhongxuan Luo
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #85
The Importance of Sampling inMeta-Reinforcement Learning
In Tue Poster Session A
Bradly Stadie · Ge Yang · Rein Houthooft · Peter Chen · Yan Duan · Yuhuai Wu · Pieter Abbeel · Ilya Sutskever
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #86
Latent Alignment and Variational Attention
In Tue Poster Session A
Yuntian Deng · Yoon Kim · Justin Chiu · Demi Guo · Alexander Rush
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #87
Variational Memory Encoder-Decoder
In Tue Poster Session A
Hung Le · Truyen Tran · Thin Nguyen · Svetha Venkatesh
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #88
Relational recurrent neural networks
In Tue Poster Session A
Adam Santoro · Ryan Faulkner · David Raposo · Jack Rae · Mike Chrzanowski · Theophane Weber · Daan Wierstra · Oriol Vinyals · Razvan Pascanu · Timothy Lillicrap
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #89
Learning to Reason with Third Order Tensor Products
In Tue Poster Session A
Imanol Schlag · Jürgen Schmidhuber
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #90
Reversible Recurrent Neural Networks
In Tue Poster Session A
Matthew MacKay · Paul Vicol · Jimmy Ba · Roger Grosse
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #91
Breaking the Activation Function Bottleneck through Adaptive Parameterization
In Tue Poster Session A
Sebastian Flennerhag · Hujun Yin · John Keane · Mark Elliot
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #92
BRITS: Bidirectional Recurrent Imputation for Time Series
In Tue Poster Session A
Wei Cao · Dong Wang · Jian Li · Hao Zhou · Lei Li · Yitan Li
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #93
Complex Gated Recurrent Neural Networks
In Tue Poster Session A
Moritz Wolter · Angela Yao
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #94
Middle-Out Decoding
In Tue Poster Session A
Shikib Mehri · Leonid Sigal
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #95
Recurrently Controlled Recurrent Networks
In Tue Poster Session A
Yi Tay · Anh Tuan Luu · Siu Cheung Hui
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #96
Tree-to-tree Neural Networks for Program Translation
In Tue Poster Session A
Xinyun Chen · Chang Liu · Dawn Song
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #97
HOUDINI: Lifelong Learning as Program Synthesis
In Tue Poster Session A
Lazar Valkov · Dipak Chaudhari · Akash Srivastava · Charles Sutton · Swarat Chaudhuri
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #98
Neural Guided Constraint Logic Programming for Program Synthesis
In Tue Poster Session A
Lisa Zhang · Gregory Rosenblatt · Ethan Fetaya · Renjie Liao · William Byrd · Matthew Might · Raquel Urtasun · Richard Zemel
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #99
Embedding Logical Queries on Knowledge Graphs
In Tue Poster Session A
Will Hamilton · Payal Bajaj · Marinka Zitnik · Dan Jurafsky · Jure Leskovec
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #100
Expanding Holographic Embeddings for Knowledge Completion
In Tue Poster Session A
Yexiang Xue · Yang Yuan · Zhitian Xu · Ashish Sabharwal
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #101
On the Dimensionality of Word Embedding
In Tue Poster Session A
Zi Yin · Yuanyuan Shen
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #102
Flexible neural representation for physics prediction
In Tue Poster Session A
Damian Mrowca · Chengxu Zhuang · Elias Wang · Nick Haber · Li Fei-Fei · Josh Tenenbaum · Daniel Yamins
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #103
Content preserving text generation with attribute controls
In Tue Poster Session A
Lajanugen Logeswaran · Honglak Lee · Samy Bengio
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #104
Recurrent Relational Networks
In Tue Poster Session A
Rasmus Berg Palm · Ulrich Paquet · Ole Winther
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #105
GLoMo: Unsupervised Learning of Transferable Relational Graphs
In Tue Poster Session A
Zhilin Yang · Jake Zhao · Bhuwan Dhingra · Kaiming He · William Cohen · Russ Salakhutdinov · Yann LeCun
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #106
Predictive Uncertainty Estimation via Prior Networks
In Tue Poster Session A
Andrey Malinin · Mark Gales
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #107
Adversarial Multiple Source Domain Adaptation
In Tue Poster Session A
Han Zhao · Shanghang Zhang · Guanhang Wu · José M. F. Moura · Joao P Costeira · Geoffrey Gordon
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #108
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
In Tue Poster Session A
Gamaleldin Elsayed · Shreya Shankar · Brian Cheung · Nicolas Papernot · Alexey Kurakin · Ian Goodfellow · Jascha Sohl-Dickstein
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #109
A Simple Cache Model for Image Recognition
In Tue Poster Session A
Emin Orhan
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #110
Co-teaching: Robust training of deep neural networks with extremely noisy labels
In Tue Poster Session A
Bo Han · Quanming Yao · Xingrui Yu · Gang Niu · Miao Xu · Weihua Hu · Ivor Tsang · Masashi Sugiyama
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #111
Improved Network Robustness with Adversary Critic
In Tue Poster Session A
Alexander Matyasko · Lap-Pui Chau
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #112
Unsupervised Learning of Object Landmarks through Conditional Image Generation
In Tue Poster Session A
Tomas Jakab · Ankush Gupta · Hakan Bilen · Andrea Vedaldi
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #113
Multi-Task Learning as Multi-Objective Optimization
In Tue Poster Session A
Ozan Sener · Vladlen Koltun
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #114
Deep Anomaly Detection Using Geometric Transformations
In Tue Poster Session A
Izhak Golan · Ran El-Yaniv
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #115
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
In Tue Poster Session A
Stepan Tulyakov · Anton Ivanov · François Fleuret
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #116
VideoCapsuleNet: A Simplified Network for Action Detection
In Tue Poster Session A
Kevin Duarte · Yogesh Rawat · Mubarak Shah
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #117
With Friends Like These, Who Needs Adversaries?
In Tue Poster Session A
Saumya Jetley · Nicholas Lord · Philip Torr
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #118
Multi-Task Zipping via Layer-wise Neuron Sharing
In Tue Poster Session A
Xiaoxi He · Zimu Zhou · Lothar Thiele
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #119
Learning Versatile Filters for Efficient Convolutional Neural Networks
In Tue Poster Session A
Yunhe Wang · Chang Xu · Chunjing XU · Chao Xu · Dacheng Tao
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #120
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks
In Tue Poster Session A
Xiaodong Cui · Wei Zhang · Zoltán Tüske · Michael Picheny
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #121
Structure-Aware Convolutional Neural Networks
In Tue Poster Session A
Jianlong Chang · Jie Gu · Lingfeng Wang · GAOFENG MENG · SHIMING XIANG · Chunhong Pan
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #122
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks
In Tue Poster Session A
Qilong Wang · Zilin Gao · Jiangtao Xie · Wangmeng Zuo · Peihua Li
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #123
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks
In Tue Poster Session A
Yingyezhe Jin · Wenrui Zhang · Peng Li
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #124
Deep Neural Nets with Interpolating Function as Output Activation
In Tue Poster Session A
Bao Wang · Xiyang Luo · Zhen Li · Wei Zhu · Zuoqiang Shi · Stanley Osher
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #125
Neural Edit Operations for Biological Sequences
In Tue Poster Session A
Satoshi Koide · Keisuke Kawano · Takuro Kutsuna
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB
Improved Expressivity Through Dendritic Neural Networks
In Tue Poster Session A
Xundong Wu · Xiangwen Liu · Wei Li · Qing Wu
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #127
Neural Proximal Gradient Descent for Compressive Imaging
In Tue Poster Session A
Morteza Mardani · Qingyun Sun · David Donoho · Vardan Papyan · Hatef Monajemi · Shreyas Vasanawala · John Pauly
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #128
Sigsoftmax: Reanalysis of the Softmax Bottleneck
In Tue Poster Session A
Sekitoshi Kanai · Yasuhiro Fujiwara · Yuki Yamanaka · Shuichi Adachi
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #129
Visualizing the Loss Landscape of Neural Nets
In Tue Poster Session A
Hao Li · Zheng Xu · Gavin Taylor · Christoph Studer · Tom Goldstein
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #130
Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
In Tue Poster Session A
Risi Kondor · Zhen Lin · Shubhendu Trivedi
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #131
Adaptive Sampling Towards Fast Graph Representation Learning
In Tue Poster Session A
Wenbing Huang · Tong Zhang · Yu Rong · Junzhou Huang
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #132
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
In Tue Poster Session A
Marco Ciccone · Marco Gallieri · Jonathan Masci · Christian Osendorfer · Faustino Gomez
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #133
Scaling provable adversarial defenses
In Tue Poster Session A
Eric Wong · Frank Schmidt · Jan Hendrik Metzen · J. Zico Kolter
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #134
Lipschitz regularity of deep neural networks: analysis and efficient estimation
In Tue Poster Session A
Aladin Virmaux · Kevin Scaman
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #135
Training DNNs with Hybrid Block Floating Point
In Tue Poster Session A
Mario Drumond · Tao Lin · Martin Jaggi · Babak Falsafi
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #136
Mesh-TensorFlow: Deep Learning for Supercomputers
In Tue Poster Session A
Noam Shazeer · Youlong Cheng · Niki Parmar · Dustin Tran · Ashish Vaswani · Penporn Koanantakool · Peter Hawkins · HyoukJoong Lee · Mingsheng Hong · Cliff Young · Ryan Sepassi · Blake Hechtman
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #137
Thwarting Adversarial Examples: An $L_0$-Robust Sparse Fourier Transform
In Tue Poster Session A
Mitali Bafna · Jack Murtagh · Nikhil Vyas
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #138
Bayesian Adversarial Learning
In Tue Poster Session A
Nanyang Ye · Zhanxing Zhu
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #139
Dendritic cortical microcircuits approximate the backpropagation algorithm
In Tue Poster Session A
João Sacramento · Rui Ponte Costa · Yoshua Bengio · Walter Senn
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #140
Learning a latent manifold of odor representations from neural responses in piriform cortex
In Tue Poster Session A
Anqi Wu · Stan Pashkovski · Sandeep Datta · Jonathan Pillow
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #141
Size-Noise Tradeoffs in Generative Networks
In Tue Poster Session A
Bolton Bailey · Matus Telgarsky
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #142
On Neuronal Capacity
In Tue Poster Session A
Pierre Baldi · Roman Vershynin
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #143
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
In Tue Poster Session A
Yuanzhi Li · Yingyu Liang
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #144
Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres
In Tue Poster Session A
Oisín Moran · Piergiorgio Caramazza · Daniele Faccio · Roderick Murray-Smith
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #145
Learning towards Minimum Hyperspherical Energy
In Tue Poster Session A
Weiyang Liu · Rongmei Lin · Zhen Liu · Lixin Liu · Zhiding Yu · Bo Dai · Le Song
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #146
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis
In Tue Poster Session A
Haoye Dong · Xiaodan Liang · Ke Gong · Hanjiang Lai · Jia Zhu · Jian Yin
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #147
Deep Attentive Tracking via Reciprocative Learning
In Tue Poster Session A
Shi Pu · YIBING SONG · Chao Ma · Honggang Zhang · Ming-Hsuan Yang
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #148
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
In Tue Poster Session A
Abhinav Gupta · Adithyavairavan Murali · Dhiraj Prakashchand Gandhi · Lerrel Pinto
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #149
A flexible model for training action localization with varying levels of supervision
In Tue Poster Session A
Guilhem Chéron · Jean-Baptiste Alayrac · Ivan Laptev · Cordelia Schmid
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #150
Bilinear Attention Networks
In Tue Poster Session A
Jin-Hwa Kim · Jaehyun Jun · Byoung-Tak Zhang
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #151
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models
In Tue Poster Session A
Boyuan Pan · Yazheng Yang · Hao Li · Zhou Zhao · Yueting Zhuang · Deng Cai · Xiaofei He
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #152
Diffusion Maps for Textual Network Embedding
In Tue Poster Session A
Xinyuan Zhang · Yitong Li · Dinghan Shen · Lawrence Carin
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #153
FRAGE: Frequency-Agnostic Word Representation
In Tue Poster Session A
Chengyue Gong · Di He · Xu Tan · Tao Qin · Liwei Wang · Tie-Yan Liu
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #154
A Retrieve-and-Edit Framework for Predicting Structured Outputs
In Tue Poster Session A
Tatsunori Hashimoto · Kelvin Guu · Yonatan Oren · Percy Liang
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #155
Unsupervised Text Style Transfer using Language Models as Discriminators
In Tue Poster Session A
Zichao Yang · Zhiting Hu · Chris Dyer · Eric Xing · Taylor Berg-Kirkpatrick
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #156
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
In Tue Poster Session A
Yu-An Chung · Wei-Hung Weng · Schrasing Tong · Jim Glass
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #157
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
In Tue Poster Session A
Mingchao Yu · Zhifeng Lin · Krishna Narra · Songze Li · Youjie Li · Nam Sung Kim · Alex Schwing · Murali Annavaram · Salman Avestimehr
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #158
Gradient Sparsification for Communication-Efficient Distributed Optimization
In Tue Poster Session A
Jianqiao Wangni · Jialei Wang · Ji Liu · Tong Zhang
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #159
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
In Tue Poster Session A
Ehsan Hajiramezanali · Siamak Zamani Dadaneh · Alireza Karbalayghareh · Mingyuan Zhou · Xiaoning Qian
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #160
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
In Tue Poster Session A
Xing Yan · Weizhong Zhang · Lin Ma · Wei Liu · Qi Wu
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #161
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
In Tue Poster Session A
Yanjun Li · Yoram Bresler
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #162
Phase Retrieval Under a Generative Prior
In Tue Poster Session A
Paul Hand · Oscar Leong · Vlad Voroninski
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #163
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds
In Tue Poster Session A
Xiaohan Chen · Jialin Liu · Zhangyang Wang · Wotao Yin
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #164
Modern Neural Networks Generalize on Small Data Sets
In Tue Poster Session A
Matthew Olson · Abraham Wyner · Richard Berk
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #165
Co-regularized Alignment for Unsupervised Domain Adaptation
In Tue Poster Session A
Abhishek Kumar · Prasanna Sattigeri · Kahini Wadhawan · Leonid Karlinsky · Rogerio Feris · Bill Freeman · Gregory Wornell
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #166
Neural Networks Trained to Solve Differential Equations Learn General Representations
In Tue Poster Session A
Martin Magill · Faisal Qureshi · Hendrick de Haan
[ Paper]  [ Poster] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #167
Spectral Filtering for General Linear Dynamical Systems
In Tue Poster Session A
Elad Hazan · Holden Lee · Karan Singh · Cyril Zhang · Yi Zhang
[ Paper] 
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #168
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior
In Tue Poster Session A
Sid Reddy · Anca Dragan · Sergey Levine
[ Paper]  [ Poster]