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Invited Talk
Tue Dec 04 05:30 AM -- 06:20 AM (PST) @ Room 220 CD
Machine Learning Meets Public Policy: What to Expect and How to Cope
In Tue Invited Talk 1
Edward W Felten
Talk
Tue Dec 04 06:20 AM -- 06:40 AM (PST)
Test of Time Award
In Test of Time
[ Video] 
Oral
Tue Dec 04 07:05 AM -- 07:20 AM (PST) @ Room 220 CD
On Neuronal Capacity
In Tue Track 1 -- Session 1
Pierre Baldi · Roman Vershynin
[ Paper]  [ Video]  [ Video] 
Oral
Tue Dec 04 07:05 AM -- 07:20 AM (PST) @ Room 220 E
On the Dimensionality of Word Embedding
In Tue Track 2 -- Session 1
Zi Yin · Yuanyuan Shen
[ Paper] 
Oral
Tue Dec 04 07:05 AM -- 07:20 AM (PST) @ Room 517 CD
Phase Retrieval Under a Generative Prior
In Tue Track 3 -- Session 1
Paul Hand · Oscar Leong · Vlad Voroninski
[ Paper]  [ Video] 
Spotlight
Tue Dec 04 07:20 AM -- 07:25 AM (PST) @ Room 220 CD
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
In Tue Track 1 -- Session 1
Yuanzhi Li · Yingyu Liang
Spotlight
Tue Dec 04 07:20 AM -- 07:25 AM (PST) @ Room 220 E
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
In Tue Track 2 -- Session 1
Yu-An Chung · Wei-Hung Weng · Schrasing Tong · Jim Glass
Spotlight
Tue Dec 04 07:20 AM -- 07:25 AM (PST) @ Room 517 CD
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
In Tue Track 3 -- Session 1
Yanjun Li · Yoram Bresler
Spotlight
Tue Dec 04 07:25 AM -- 07:30 AM (PST) @ Room 220 CD
Size-Noise Tradeoffs in Generative Networks
In Tue Track 1 -- Session 1
Bolton Bailey · Matus Telgarsky
Spotlight
Tue Dec 04 07:25 AM -- 07:30 AM (PST) @ Room 220 E
Diffusion Maps for Textual Network Embedding
In Tue Track 2 -- Session 1
Xinyuan Zhang · Yitong Li · Dinghan Shen · Lawrence Carin
Spotlight
Tue Dec 04 07:25 AM -- 07:30 AM (PST) @ Room 517 CD
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds
In Tue Track 3 -- Session 1
Xiaohan Chen · Jialin Liu · Zhangyang Wang · Wotao Yin
Oral
Tue Dec 04 07:30 AM -- 07:45 AM (PST) @ Room 220 CD
Dendritic cortical microcircuits approximate the backpropagation algorithm
In Tue Track 1 -- Session 1
João Sacramento · Rui Ponte Costa · Yoshua Bengio · Walter Senn
[ Paper]  [ Video] 
Oral
Tue Dec 04 07:30 AM -- 07:45 AM (PST) @ Room 220 E
A Retrieve-and-Edit Framework for Predicting Structured Outputs
In Tue Track 2 -- Session 1
Tatsunori Hashimoto · Kelvin Guu · Yonatan Oren · Percy Liang
[ Paper] 
Oral
Tue Dec 04 07:30 AM -- 07:45 AM (PST) @ Room 517 CD
Spectral Filtering for General Linear Dynamical Systems
In Tue Track 3 -- Session 1
Elad Hazan · Holden Lee · Karan Singh · Cyril Zhang · Yi Zhang
[ Paper]  [ Video] 
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D3
Ruuh: A Deep Learning Based Conversational Social Agent
In Tue Demonstrations
Puneet Agrawal · Manoj Kumar Chinnakotla · Sonam Damani · Meghana Joshi · Kedhar Nath Narahari · Khyatti Gupta · Nitya Raviprakash · Umang Gupta · Ankush Chatterjee · Abhishek Mathur · Sneha Magapu
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D1
Deep Neural Networks Running Onboard Anki’s Robot, Vector
In Tue Demonstrations
Lorenzo Riano · Andrew Stein · Mark Palatucci
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D8
A model-agnostic web interface for interactive music composition by inpainting
In Tue Demonstrations
Gaëtan Hadjeres · Théis Bazin · Ashis Pati
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D7
A Hands-free Natural User Interface (NUI) for AR/VR Head-Mounted Displays Exploiting Wearer’s Facial Gestures
In Tue Demonstrations
Jaekwang Cha · Shiho Kim · Jinhyuk Kim
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D10
TextWorld: A Learning Environment for Text-based Games
In Tue Demonstrations
Marc-Alexandre Côté · Wendy Tay · Xingdi Yuan
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D9
A machine learning environment to determine novel malaria policies
In Tue Demonstrations
Oliver Bent · Sekou Remy · Nelson Bore
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510
TensorFlow Dance - Learning to Dance via Machine Learning
In Tue Demonstrations
Yaz Santissi · Chintan Trivedi
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510
Reproducing Machine Learning Research on Binder
In Tue Demonstrations
Jessica Forde · Tim Head · Chris Holdgraf · M Pacer · Félix-Antoine Fortin · Fernando Perez
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D4
Game for Detecting Backdoor Attacks on Deep Neural Networks using Activation Clustering
In Tue Demonstrations
Casey Dugan · Werner Geyer · Narendra Nath Joshi · Ingrid Lange · Dustin Ramsey Torres · Bryant Chen · Nathalie Baracaldo · Heiko Ludwig
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D5
Deep learning to improve quality control in pharmaceutical manufacturing
In Tue Demonstrations
Michael Sass Hansen · Sebastian Brandes Kraaijenzank
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] 
Break
Tue Dec 04 09:40 AM -- 10:05 AM (PST)
Coffee Break
Invited Talk
Tue Dec 04 11:15 AM -- 12:05 PM (PST) @ Room 220 CD
What Bodies Think About: Bioelectric Computation Outside the Nervous System, Primitive Cognition, and Synthetic Morphology
In Tue Invited Talk 2
Michael Levin
Spotlight
Tue Dec 04 12:30 PM -- 12:35 PM (PST) @ Room 220 CD
Neural Voice Cloning with a Few Samples
In Tue Track 1 -- Session 2
Sercan Arik · Jitong Chen · Kainan Peng · Wei Ping · Yanqi Zhou
Spotlight
Tue Dec 04 12:30 PM -- 12:35 PM (PST) @ Room 220 E
Evolved Policy Gradients
In Tue Track 2 -- Session 2
Rein Houthooft · Yuhua Chen · Phillip Isola · Bradly Stadie · Filip Wolski · OpenAI Jonathan Ho · Pieter Abbeel
Spotlight
Tue Dec 04 12:30 PM -- 12:35 PM (PST) @ Room 517 CD
Differentially Private Testing of Identity and Closeness of Discrete Distributions
In Tue Track 3 -- Session 2
Jayadev Acharya · Ziteng Sun · Huanyu Zhang
Spotlight
Tue Dec 04 12:35 PM -- 12:40 PM (PST) @ Room 220 CD
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
In Tue Track 1 -- Session 2
Sang-Woo Lee · Yu-Jung Heo · Byoung-Tak Zhang
Spotlight
Tue Dec 04 12:35 PM -- 12:40 PM (PST) @ Room 220 E
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
In Tue Track 2 -- Session 2
Tyler Scott · Karl Ridgeway · Michael Mozer
Spotlight
Tue Dec 04 12:35 PM -- 12:40 PM (PST) @ Room 517 CD
Local Differential Privacy for Evolving Data
In Tue Track 3 -- Session 2
Matthew Joseph · Aaron Roth · Jonathan Ullman · Bo Waggoner
Spotlight
Tue Dec 04 12:40 PM -- 12:45 PM (PST) @ Room 220 CD
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
In Tue Track 1 -- Session 2
Kexin Yi · Jiajun Wu · Chuang Gan · Antonio Torralba · Pushmeet Kohli · Josh Tenenbaum
Spotlight
Tue Dec 04 12:40 PM -- 12:45 PM (PST) @ Room 220 E
Bayesian Model-Agnostic Meta-Learning
In Tue Track 2 -- Session 2
Jaesik Yoon · Taesup Kim · Ousmane Dia · Sungwoong Kim · Yoshua Bengio · Sungjin Ahn
Spotlight
Tue Dec 04 12:40 PM -- 12:45 PM (PST) @ Room 517 CD
Differentially Private k-Means with Constant Multiplicative Error
In Tue Track 3 -- Session 2
Uri Stemmer · Haim Kaplan
Break
Tue Dec 04 12:45 PM -- 02:15 PM (PST)
Lunch on your own
Break
Tue Dec 04 12:45 PM -- 02:15 PM (PST)
Lunch on your own
Spotlight
Tue Dec 04 12:45 PM -- 12:50 PM (PST) @ Room 220 CD
Learning to Optimize Tensor Programs
In Tue Track 1 -- Session 2
Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy
Spotlight
Tue Dec 04 12:45 PM -- 12:50 PM (PST) @ Room 220 E
Probabilistic Neural Programmed Networks for Scene Generation
In Tue Track 2 -- Session 2
Zhiwei Deng · Jiacheng Chen · YIFANG FU · Greg Mori
Spotlight
Tue Dec 04 12:45 PM -- 12:50 PM (PST) @ Room 517 CD
A Spectral View of Adversarially Robust Features
In Tue Track 3 -- Session 2
Shivam Garg · Vatsal Sharan · Brian Zhang · Gregory Valiant
Oral
Tue Dec 04 12:50 PM -- 01:05 PM (PST) @ Room 220 CD
Generalisation of structural knowledge in the hippocampal-entorhinal system
In Tue Track 1 -- Session 2
James Whittington · Timothy Muller · Shirely Mark · Caswell Barry · Tim Behrens
[ Paper]  [ Video] 
Oral
Tue Dec 04 12:50 PM -- 01:05 PM (PST) @ Room 220 E
Neural Ordinary Differential Equations
In Tue Track 2 -- Session 2
Tian Qi Chen · Yulia Rubanova · Jesse Bettencourt · David Duvenaud
[ Paper]  [ Video] 
Oral
Tue Dec 04 12:50 PM -- 01:05 PM (PST) @ Room 517 CD
Model-Agnostic Private Learning
In Tue Track 3 -- Session 2
Raef Bassily · Abhradeep Guha Thakurta · Om Thakkar
[ Paper]  [ Video] 
Spotlight
Tue Dec 04 01:05 PM -- 01:10 PM (PST) @ Room 220 CD
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
In Tue Track 1 -- Session 2
Jeffrey Chan · Valerio Perrone · Jeffrey Spence · Paul Jenkins · Sara Mathieson · Yun Song
Spotlight
Tue Dec 04 01:05 PM -- 01:10 PM (PST) @ Room 220 E
Bias and Generalization in Deep Generative Models: An Empirical Study
In Tue Track 2 -- Session 2
Shengjia Zhao · Hongyu Ren · Arianna Yuan · Jiaming Song · Noah Goodman · Stefano Ermon
Spotlight
Tue Dec 04 01:05 PM -- 01:10 PM (PST) @ Room 517 CD
Bounded-Loss Private Prediction Markets
In Tue Track 3 -- Session 2
Rafael Frongillo · Bo Waggoner
Spotlight
Tue Dec 04 01:10 PM -- 01:15 PM (PST) @ Room 220 CD
Generalizing Tree Probability Estimation via Bayesian Networks
In Tue Track 1 -- Session 2
Cheng Zhang · Frederick A Matsen IV
Spotlight
Tue Dec 04 01:10 PM -- 01:15 PM (PST) @ Room 220 E
Robustness of conditional GANs to noisy labels
In Tue Track 2 -- Session 2
Kiran Thekumparampil · Ashish Khetan · Zinan Lin · Sewoong Oh
Spotlight
Tue Dec 04 01:10 PM -- 01:15 PM (PST) @ Room 517 CD
cpSGD: Communication-efficient and differentially-private distributed SGD
In Tue Track 3 -- Session 2
Naman Agarwal · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan
Break
Tue Dec 04 01:15 PM -- 02:15 PM (PST) @ Room 517 CD
Inclusion and Diversity Town Hall
[ Video] 
Spotlight
Tue Dec 04 01:15 PM -- 01:20 PM (PST) @ Room 220 CD
Geometry Based Data Generation
In Tue Track 1 -- Session 2
Ofir Lindenbaum · Jay Stanley · Guy Wolf · Smita Krishnaswamy
Spotlight
Tue Dec 04 01:15 PM -- 01:20 PM (PST) @ Room 220 E
BourGAN: Generative Networks with Metric Embeddings
In Tue Track 2 -- Session 2
Chang Xiao · Peilin Zhong · Changxi Zheng
Spotlight
Tue Dec 04 01:15 PM -- 01:20 PM (PST) @ Room 517 CD
Adversarially Robust Generalization Requires More Data
In Tue Track 3 -- Session 2
Ludwig Schmidt · Shibani Santurkar · Dimitris Tsipras · Kunal Talwar · Aleksander Madry
Spotlight
Tue Dec 04 01:20 PM -- 01:25 PM (PST) @ Room 220 CD
Point process latent variable models of larval zebrafish behavior
In Tue Track 1 -- Session 2
Anuj Sharma · Robert Johnson · Florian Engert · Scott Linderman
Spotlight
Tue Dec 04 01:20 PM -- 01:25 PM (PST) @ Room 220 E
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
In Tue Track 2 -- Session 2
Timur Garipov · Pavel Izmailov · Dmitrii Podoprikhin · Dmitry Vetrov · Andrew Wilson
Spotlight
Tue Dec 04 01:20 PM -- 01:25 PM (PST) @ Room 517 CD
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
In Tue Track 3 -- Session 2
Guanhong Tao · Shiqing Ma · Yingqi Liu · Xiangyu Zhang
Oral
Tue Dec 04 01:25 PM -- 01:40 PM (PST) @ Room 220 CD
A probabilistic population code based on neural samples
In Tue Track 1 -- Session 2
Sabyasachi Shivkumar · Richard Lange · Ankani Chattoraj · Ralf Haefner
Oral
Tue Dec 04 01:25 PM -- 01:40 PM (PST) @ Room 220 E
How Does Batch Normalization Help Optimization?
In Tue Track 2 -- Session 2
Shibani Santurkar · Dimitris Tsipras · Andrew Ilyas · Aleksander Madry
[ Video] 
Oral
Tue Dec 04 01:25 PM -- 01:40 PM (PST) @ Room 517 CD
Learning to Solve SMT Formulas
In Tue Track 3 -- Session 2
Mislav Balunovic · Pavol Bielik · Martin Vechev
[ Video] 
Spotlight
Tue Dec 04 01:40 PM -- 01:45 PM (PST) @ Room 220 CD
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
In Tue Track 1 -- Session 2
Nan Rosemary Ke · Anirudh Goyal · Olexa Bilaniuk · Jonathan Binas · Michael Mozer · Chris Pal · Yoshua Bengio
Spotlight
Tue Dec 04 01:40 PM -- 01:45 PM (PST) @ Room 220 E
Training Neural Networks Using Features Replay
In Tue Track 2 -- Session 2
Zhouyuan Huo · Bin Gu · Heng Huang
Spotlight
Tue Dec 04 01:40 PM -- 01:45 PM (PST) @ Room 517 CD
Towards Robust Detection of Adversarial Examples
In Tue Track 3 -- Session 2
Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu
Spotlight
Tue Dec 04 01:45 PM -- 01:50 PM (PST) @ Room 220 CD
Learning Temporal Point Processes via Reinforcement Learning
In Tue Track 1 -- Session 2
Shuang Li · Shuai Xiao · Shixiang Zhu · Nan Du · Yao Xie · Le Song
Spotlight
Tue Dec 04 01:45 PM -- 01:50 PM (PST) @ Room 220 E
Step Size Matters in Deep Learning
In Tue Track 2 -- Session 2
Kamil Nar · Shankar Sastry
Spotlight
Tue Dec 04 01:45 PM -- 01:50 PM (PST) @ Room 517 CD
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
In Tue Track 3 -- Session 2
Kirthevasan Kandasamy · Willie Neiswanger · Jeff Schneider · Barnabas Poczos · Eric Xing
Spotlight
Tue Dec 04 01:50 PM -- 01:55 PM (PST) @ Room 220 CD
Precision and Recall for Time Series
In Tue Track 1 -- Session 2
Nesime Tatbul · Tae Jun Lee · Stan Zdonik · Mejbah Alam · Justin Gottschlich
Spotlight
Tue Dec 04 01:50 PM -- 01:55 PM (PST) @ Room 220 E
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
In Tue Track 2 -- Session 2
Arthur Jacot-Guillarmod · Clement Hongler · Franck Gabriel
Spotlight
Tue Dec 04 01:50 PM -- 01:55 PM (PST) @ Room 517 CD
Data-Driven Clustering via Parameterized Lloyd's Families
In Tue Track 3 -- Session 2
Maria-Florina Balcan · Travis Dick · Colin White
Spotlight
Tue Dec 04 01:55 PM -- 02:00 PM (PST) @ Room 220 CD
Bayesian Nonparametric Spectral Estimation
In Tue Track 1 -- Session 2
Felipe Tobar
Spotlight
Tue Dec 04 01:55 PM -- 02:00 PM (PST) @ Room 220 E
Hierarchical Graph Representation Learning with Differentiable Pooling
In Tue Track 2 -- Session 2
Zhitao Ying · Jiaxuan You · Christopher Morris · Xiang Ren · Will Hamilton · Jure Leskovec
Spotlight
Tue Dec 04 01:55 PM -- 02:00 PM (PST) @ Room 517 CD
Supervising Unsupervised Learning
In Tue Track 3 -- Session 2
Vikas Garg · Adam Kalai
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #1
Point process latent variable models of larval zebrafish behavior
In Tue Poster Session B
Anuj Sharma · Robert Johnson · Florian Engert · Scott Linderman
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #2
Provably Correct Automatic Sub-Differentiation for Qualified Programs
In Tue Poster Session B
Sham Kakade · Jason Lee
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #3
Neural Ordinary Differential Equations
In Tue Poster Session B
Tian Qi Chen · Yulia Rubanova · Jesse Bettencourt · David Duvenaud
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #4
Information Constraints on Auto-Encoding Variational Bayes
In Tue Poster Session B
Romain Lopez · Jeffrey Regier · Michael Jordan · Nir Yosef
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #5
Robustness of conditional GANs to noisy labels
In Tue Poster Session B
Kiran Thekumparampil · Ashish Khetan · Zinan Lin · Sewoong Oh
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #6
Bias and Generalization in Deep Generative Models: An Empirical Study
In Tue Poster Session B
Shengjia Zhao · Hongyu Ren · Arianna Yuan · Jiaming Song · Noah Goodman · Stefano Ermon
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #7
Probabilistic Neural Programmed Networks for Scene Generation
In Tue Poster Session B
Zhiwei Deng · Jiacheng Chen · YIFANG FU · Greg Mori
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #8
Step Size Matters in Deep Learning
In Tue Poster Session B
Kamil Nar · Shankar Sastry
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #9
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
In Tue Poster Session B
Arthur Jacot-Guillarmod · Clement Hongler · Franck Gabriel
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #10
How Does Batch Normalization Help Optimization?
In Tue Poster Session B
Shibani Santurkar · Dimitris Tsipras · Andrew Ilyas · Aleksander Madry
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #11
Towards Robust Detection of Adversarial Examples
In Tue Poster Session B
Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #12
Training Neural Networks Using Features Replay
In Tue Poster Session B
Zhouyuan Huo · Bin Gu · Heng Huang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #13
Faster Neural Networks Straight from JPEG
In Tue Poster Session B
Lionel Gueguen · Alex Sergeev · Ben Kadlec · Rosanne Liu · Jason Yosinski
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #14
Hierarchical Graph Representation Learning with Differentiable Pooling
In Tue Poster Session B
Zhitao Ying · Jiaxuan You · Christopher Morris · Xiang Ren · Will Hamilton · Jure Leskovec
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #15
Bayesian Model-Agnostic Meta-Learning
In Tue Poster Session B
Jaesik Yoon · Taesup Kim · Ousmane Dia · Sungwoong Kim · Yoshua Bengio · Sungjin Ahn
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #16
Evolved Policy Gradients
In Tue Poster Session B
Rein Houthooft · Yuhua Chen · Phillip Isola · Bradly Stadie · Filip Wolski · OpenAI Jonathan Ho · Pieter Abbeel
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #17
BourGAN: Generative Networks with Metric Embeddings
In Tue Poster Session B
Chang Xiao · Peilin Zhong · Changxi Zheng
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #18
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
In Tue Poster Session B
Matthew O'Kelly · Aman Sinha · Hongseok Namkoong · Russ Tedrake · John Duchi
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #19
Generalisation of structural knowledge in the hippocampal-entorhinal system
In Tue Poster Session B
James Whittington · Timothy Muller · Shirely Mark · Caswell Barry · Tim Behrens
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #20
Task-Driven Convolutional Recurrent Models of the Visual System
In Tue Poster Session B
Aran Nayebi · Daniel Bear · Jonas Kubilius · Kohitij Kar · Surya Ganguli · David Sussillo · James J DiCarlo · Daniel Yamins
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #21
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
In Tue Poster Session B
Kexin Yi · Jiajun Wu · Chuang Gan · Antonio Torralba · Pushmeet Kohli · Josh Tenenbaum
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #22
Extracting Relationships by Multi-Domain Matching
In Tue Poster Session B
Yitong Li · michael Murias · geraldine Dawson · David Carlson
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #23
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
In Tue Poster Session B
Nan Rosemary Ke · Anirudh Goyal · Olexa Bilaniuk · Jonathan Binas · Michael Mozer · Chris Pal · Yoshua Bengio
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #24
Beauty-in-averageness and its contextual modulations: A Bayesian statistical account
In Tue Poster Session B
Chaitanya Ryali · Angela Yu
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #25
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
In Tue Poster Session B
Fabian Sinz · Alexander Ecker · Paul Fahey · Edgar Walker · Erick M Cobos · Emmanouil Froudarakis · Dimitri Yatsenko · Xaq Pitkow · Jacob Reimer · Andreas Tolias
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #26
A probabilistic population code based on neural samples
In Tue Poster Session B
Sabyasachi Shivkumar · Richard Lange · Ankani Chattoraj · Ralf Haefner
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #27
cpSGD: Communication-efficient and differentially-private distributed SGD
In Tue Poster Session B
Naman Agarwal · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #28
Bounded-Loss Private Prediction Markets
In Tue Poster Session B
Rafael Frongillo · Bo Waggoner
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #29
Ex ante coordination and collusion in zero-sum multi-player extensive-form games
In Tue Poster Session B
Gabriele Farina · Andrea Celli · Nicola Gatti · Tuomas Sandholm
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #30
Model-Agnostic Private Learning
In Tue Poster Session B
Raef Bassily · Abhradeep Guha Thakurta · Om Thakkar
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #31
Adversarially Robust Generalization Requires More Data
In Tue Poster Session B
Ludwig Schmidt · Shibani Santurkar · Dimitris Tsipras · Kunal Talwar · Aleksander Madry
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #32
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC
In Tue Poster Session B
Tolga Birdal · Umut Simsekli · Mustafa Onur Eken · Slobodan Ilic
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #33
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
In Tue Poster Session B
Rudrasis Chakraborty · Chun-Hao Yang · Xingjian Zhen · Monami Banerjee · Derek Archer · David Vaillancourt · Vikas Singh · Baba C Vemuri
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #34
Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution
In Tue Poster Session B
Longquan Dai · Liang Tang · Yuan Xie · Jinhui Tang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #35
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN
In Tue Poster Session B
Shupeng Su · Chao Zhang · Kai Han · Yonghong Tian
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #36
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
In Tue Poster Session B
Stanislav Pidhorskyi · Ranya Almohsen · Gianfranco Doretto
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #37
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution
In Tue Poster Session B
Zhisheng Zhong · Tiancheng Shen · Yibo Yang · Zhouchen Lin · Chao Zhang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #38
Compact Generalized Non-local Network
In Tue Poster Session B
Kaiyu Yue · Ming Sun · Yuchen Yuan · Feng Zhou · Errui Ding · Fuxin Xu
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #39
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
In Tue Poster Session B
Maciej Zieba · Piotr Semberecki · Tarek El-Gaaly · Tomasz Trzcinski
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #40
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
In Tue Poster Session B
Thu Nguyen-Phuoc · Chuan Li · Stephen Balaban · Yongliang Yang
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #41
LF-Net: Learning Local Features from Images
In Tue Poster Session B
Yuki Ono · Eduard Trulls · Pascal Fua · Kwang Moo Yi
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #42
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
In Tue Poster Session B
Eldar Insafutdinov · Alexey Dosovitskiy
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #43
Modelling and unsupervised learning of symmetric deformable object categories
In Tue Poster Session B
James Thewlis · Hakan Bilen · Andrea Vedaldi
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #44
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
In Tue Poster Session B
Edward Smith · Scott Fujimoto · David Meger
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #45
Image Inpainting via Generative Multi-column Convolutional Neural Networks
In Tue Poster Session B
Yi Wang · Xin Tao · Xiaojuan Qi · Xiaoyong Shen · Jiaya Jia
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #46
Beyond Grids: Learning Graph Representations for Visual Recognition
In Tue Poster Session B
Yin Li · Abhinav Gupta
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #47
Foreground Clustering for Joint Segmentation and Localization in Videos and Images
In Tue Poster Session B
Abhishek Sharma
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #48
LinkNet: Relational Embedding for Scene Graph
In Tue Poster Session B
Sanghyun Woo · Dahun Kim · Donghyeon Cho · In So Kweon
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210
Context-aware Synthesis and Placement of Object Instances
In Tue Poster Session B
Donghoon Lee · Sifei Liu · Jinwei Gu · Ming-Yu Liu · Ming-Hsuan Yang · Jan Kautz
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #50
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
In Tue Poster Session B
Ricson Cheng · Ziyan Wang · Katerina Fragkiadaki
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #51
See and Think: Disentangling Semantic Scene Completion
In Tue Poster Session B
Shice Liu · YU HU · Yiming Zeng · Qiankun Tang · Beibei Jin · Yinhe Han · Xiaowei Li
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #52
Active Matting
In Tue Poster Session B
Xin Yang · Ke Xu · Shaozhe Chen · Shengfeng He · Baocai Yin Yin · Rynson Lau
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #53
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
In Tue Poster Session B
Alexander H. Liu · Yen-Cheng Liu · Yu-Ying Yeh · Frank Wang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #54
Turbo Learning for CaptionBot and DrawingBot
In Tue Poster Session B
Qiuyuan Huang · Pengchuan Zhang · Dapeng Wu · Lei Zhang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #55
Dialog-based Interactive Image Retrieval
In Tue Poster Session B
Xiaoxiao Guo · Hui Wu · Yu Cheng · Steven Rennie · Gerald Tesauro · Rogerio Feris
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #56
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
In Tue Poster Session B
Yuan Li · Xiaodan Liang · Zhiting Hu · Eric Xing
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #57
Sequential Context Encoding for Duplicate Removal
In Tue Poster Session B
Lu Qi · Shu Liu · Jianping Shi · Jiaya Jia
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #58
Hybrid Knowledge Routed Modules for Large-scale Object Detection
In Tue Poster Session B
ChenHan Jiang · Hang Xu · Xiaodan Liang · Liang Lin
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #59
SNIPER: Efficient Multi-Scale Training
In Tue Poster Session B
Bharat Singh · Mahyar Najibi · Larry Davis
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #60
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection
In Tue Poster Session B
Taylor Mordan · Nicolas THOME · Gilles Henaff · Matthieu Cord
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #61
MetaAnchor: Learning to Detect Objects with Customized Anchors
In Tue Poster Session B
Tong Yang · Xiangyu Zhang · Zeming Li · Wenqiang Zhang · Jian Sun
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #62
Learning Hierarchical Semantic Image Manipulation through Structured Representations
In Tue Poster Session B
Seunghoon Hong · Xinchen Yan · Thomas Huang · Honglak Lee
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #63
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation
In Tue Poster Session B
Siyuan Huang · Siyuan Qi · Yinxue Xiao · Yixin Zhu · Ying Nian Wu · Song-Chun Zhu
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #64
3D-Aware Scene Manipulation via Inverse Graphics
In Tue Poster Session B
Shunyu Yao · Tzu Ming Hsu · Jun-Yan Zhu · Jiajun Wu · Antonio Torralba · Bill Freeman · Josh Tenenbaum
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #65
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
In Tue Poster Session B
Yixiao Ge · Zhuowan Li · Haiyu Zhao · Guojun Yin · Shuai Yi · Xiaogang Wang · Hongsheng Li
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #66
Sequence-to-Segment Networks for Segment Detection
In Tue Poster Session B
Zijun Wei · Boyu Wang · Minh Hoai Nguyen · Jianming Zhang · Zhe Lin · Xiaohui Shen · Radomir Mech · Dimitris Samaras
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #67
Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning
In Tue Poster Session B
yunlong yu · Zhong Ji · Yanwei Fu · Jichang Guo · Yanwei Pang · Zhongfei (Mark) Zhang
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #68
DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning
In Tue Poster Session B
Runsheng Yu · Wenyu Liu · Yasen Zhang · Zhi Qu · Deli Zhao · Bo Zhang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #69
Self-Erasing Network for Integral Object Attention
In Tue Poster Session B
Qibin Hou · PengTao Jiang · Yunchao Wei · Ming-Ming Cheng
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #70
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
In Tue Poster Session B
Liang-Chieh Chen · Maxwell Collins · Yukun Zhu · George Papandreou · Barret Zoph · Florian Schroff · Hartwig Adam · Jonathon Shlens
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #71
DifNet: Semantic Segmentation by Diffusion Networks
In Tue Poster Session B
Peng Jiang · Fanglin Gu · Yunhai Wang · Changhe Tu · Baoquan Chen
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #72
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
In Tue Poster Session B
Jie Cao · Yibo Hu · Hongwen Zhang · Ran He · Zhenan Sun
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #73
Attention in Convolutional LSTM for Gesture Recognition
In Tue Poster Session B
Liang Zhang · Guangming Zhu · Lin Mei · Peiyi Shen · Syed Afaq Ali Shah · Mohammed Bennamoun
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #74
Partially-Supervised Image Captioning
In Tue Poster Session B
Peter Anderson · Stephen Gould · Mark Johnson
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #75
Learning to Specialize with Knowledge Distillation for Visual Question Answering
In Tue Poster Session B
Jonghwan Mun · Kimin Lee · Jinwoo Shin · Bohyung Han
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #76
Chain of Reasoning for Visual Question Answering
In Tue Poster Session B
Chenfei Wu · Jinlai Liu · Xiaojie Wang · Xuan Dong
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #77
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
In Tue Poster Session B
Will Norcliffe-Brown · Stathis Vafeias · Sarah Parisot
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #78
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
In Tue Poster Session B
Medhini Narasimhan · Svetlana Lazebnik · Alex Schwing
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #79
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
In Tue Poster Session B
Sainandan Ramakrishnan · Aishwarya Agrawal · Stefan Lee
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #80
Non-Local Recurrent Network for Image Restoration
In Tue Poster Session B
Ding Liu · Bihan Wen · Yuchen Fan · Chen Change Loy · Thomas Huang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #81
Neural Nearest Neighbors Networks
In Tue Poster Session B
Tobias Plötz · Stefan Roth
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #82
Training deep learning based denoisers without ground truth data
In Tue Poster Session B
Shakarim Soltanayev · Se Young Chun
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #83
Adversarial Regularizers in Inverse Problems
In Tue Poster Session B
Sebastian Lunz · Carola-Bibiane Schönlieb · Ozan Öktem
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #84
Densely Connected Attention Propagation for Reading Comprehension
In Tue Poster Session B
Yi Tay · Anh Tuan Luu · Siu Cheung Hui · Jian Su
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #85
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation
In Tue Poster Session B
Tianyu He · Xu Tan · Yingce Xia · Di He · Tao Qin · Zhibo Chen · Tie-Yan Liu
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #86
e-SNLI: Natural Language Inference with Natural Language Explanations
In Tue Poster Session B
Oana-Maria Camburu · Tim Rocktäschel · Thomas Lukasiewicz · Phil Blunsom
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #87
The challenge of realistic music generation: modelling raw audio at scale
In Tue Poster Session B
Sander Dieleman · Aaron van den Oord · Karen Simonyan
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #88
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices
In Tue Poster Session B
Jinhwan Park · Yoonho Boo · Iksoo Choi · Sungho Shin · Wonyong Sung
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #89
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
In Tue Poster Session B
Ye Jia · Yu Zhang · Ron Weiss · Quan Wang · Jonathan Shen · Fei Ren · zhifeng Chen · Patrick Nguyen · Ruoming Pang · Ignacio Lopez Moreno · Yonghui Wu
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #90
SING: Symbol-to-Instrument Neural Generator
In Tue Poster Session B
Alexandre Defossez · Neil Zeghidour · Nicolas Usunier · Leon Bottou · Francis Bach
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #91
Neural Voice Cloning with a Few Samples
In Tue Poster Session B
Sercan Arik · Jitong Chen · Kainan Peng · Wei Ping · Yanqi Zhou
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #92
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
In Tue Poster Session B
Patrick Chen · Si Si · Yang Li · Ciprian Chelba · Cho-Jui Hsieh
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #93
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
In Tue Poster Session B
Daya Guo · Duyu Tang · Nan Duan · Ming Zhou · Jian Yin
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #94
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
In Tue Poster Session B
Yizhe Zhang · Michel Galley · Jianfeng Gao · Zhe Gan · Xiujun Li · Chris Brockett · Bill Dolan
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #95
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
In Tue Poster Session B
Sang-Woo Lee · Yu-Jung Heo · Byoung-Tak Zhang
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #96
Trajectory Convolution for Action Recognition
In Tue Poster Session B
Yue Zhao · Yuanjun Xiong · Dahua Lin
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #97
Video Prediction via Selective Sampling
In Tue Poster Session B
Jingwei Xu · Bingbing Ni · Xiaokang Yang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #98
Unsupervised Learning of Artistic Styles with Archetypal Style Analysis
In Tue Poster Session B
Daan Wynen · Cordelia Schmid · Julien Mairal
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #99
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
In Tue Poster Session B
Guanhong Tao · Shiqing Ma · Yingqi Liu · Xiangyu Zhang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #100
Speaker-Follower Models for Vision-and-Language Navigation
In Tue Poster Session B
Daniel Fried · Ronghang Hu · Volkan Cirik · Anna Rohrbach · Jacob Andreas · Louis-Philippe Morency · Taylor Berg-Kirkpatrick · Kate Saenko · Dan Klein · Trevor Darrell
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #101
Neural Code Comprehension: A Learnable Representation of Code Semantics
In Tue Poster Session B
Tal Ben-Nun · Alice Shoshana Jakobovits · Torsten Hoefler
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #102
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
In Tue Poster Session B
Edward Choi · Cao Xiao · Walter Stewart · Jimeng Sun
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #103
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
In Tue Poster Session B
Hongteng Xu · Wenlin Wang · Wei Liu · Lawrence Carin
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #104
Learning to Optimize Tensor Programs
In Tue Poster Session B
Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #105
Learning to Solve SMT Formulas
In Tue Poster Session B
Mislav Balunovic · Pavol Bielik · Martin Vechev
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #106
Data center cooling using model-predictive control
In Tue Poster Session B
Nevena Lazic · Craig Boutilier · Tyler Lu · Eehern Wong · Binz Roy · Moonkyung Ryu · Greg Imwalle
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #107
Bayesian Inference of Temporal Task Specifications from Demonstrations
In Tue Poster Session B
Ankit Shah · Pritish Kamath · Julie A Shah · Shen Li
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #108
Training Deep Neural Networks with 8-bit Floating Point Numbers
In Tue Poster Session B
Naigang Wang · Jungwook Choi · Daniel Brand · Chia-Yu Chen · Kailash Gopalakrishnan
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #109
Snap ML: A Hierarchical Framework for Machine Learning
In Tue Poster Session B
Celestine Dünner · Thomas Parnell · Dimitrios Sarigiannis · Nikolas Ioannou · Andreea Anghel · Gummadi Ravi · Madhusudanan Kandasamy · Haralampos Pozidis
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #110
Learning filter widths of spectral decompositions with wavelets
In Tue Poster Session B
Haidar Khan · Bulent Yener
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #111
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
In Tue Poster Session B
Jeffrey Chan · Valerio Perrone · Jeffrey Spence · Paul Jenkins · Sara Mathieson · Yun Song
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #112
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments
In Tue Poster Session B
Daniel D. Johnson · Daniel Gorelik · Ross E Mawhorter · Kyle Suver · Weiqing Gu · Steven Xing · Cody Gabriel · Peter Sankhagowit
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #113
Inferring Latent Velocities from Weather Radar Data using Gaussian Processes
In Tue Poster Session B
Rico Angell · Daniel Sheldon
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #114
Bayesian Nonparametric Spectral Estimation
In Tue Poster Session B
Felipe Tobar
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #115
Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders
In Tue Poster Session B
Abubakar Abid · James Zou
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #116
Precision and Recall for Time Series
In Tue Poster Session B
Nesime Tatbul · Tae Jun Lee · Stan Zdonik · Mejbah Alam · Justin Gottschlich
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #117
Deep Generative Markov State Models
In Tue Poster Session B
Hao Wu · Andreas Mardt · Luca Pasquali · Frank Noe
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #118
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $\beta$-Divergences
In Tue Poster Session B
Jeremias Knoblauch · Jack E Jewson · Theodoros Damoulas
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #119
Regularization Learning Networks: Deep Learning for Tabular Datasets
In Tue Poster Session B
Ira Shavitt · Eran Segal
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #120
Generative modeling for protein structures
In Tue Poster Session B
Namrata Anand · Possu Huang
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #121
Geometry Based Data Generation
In Tue Poster Session B
Ofir Lindenbaum · Jay Stanley · Guy Wolf · Smita Krishnaswamy
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #122
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra
In Tue Poster Session B
John Halloran · David M Rocke
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #123
Generalizing Tree Probability Estimation via Bayesian Networks
In Tue Poster Session B
Cheng Zhang · Frederick A Matsen IV
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #124
Learning Temporal Point Processes via Reinforcement Learning
In Tue Poster Session B
Shuang Li · Shuai Xiao · Shixiang Zhu · Nan Du · Yao Xie · Le Song
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #125
Exponentially Weighted Imitation Learning for Batched Historical Data
In Tue Poster Session B
Qing Wang · Jiechao Xiong · Lei Han · peng sun · Han Liu · Tong Zhang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #126
Evidential Deep Learning to Quantify Classification Uncertainty
In Tue Poster Session B
Murat Sensoy · Lance Kaplan · Melih Kandemir
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #127
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
In Tue Poster Session B
Amit Dhurandhar · Pin-Yu Chen · Ronny Luss · Chun-Chen Tu · Paishun Ting · Karthikeyan Shanmugam · Payel Das
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #128
Towards Robust Interpretability with Self-Explaining Neural Networks
In Tue Poster Session B
David Alvarez-Melis · Tommi Jaakkola
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #129
Model Agnostic Supervised Local Explanations
In Tue Poster Session B
Gregory Plumb · Denali Molitor · Ameet Talwalkar
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #130
To Trust Or Not To Trust A Classifier
In Tue Poster Session B
Heinrich Jiang · Been Kim · Melody Guan · Maya Gupta
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #131
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
In Tue Poster Session B
David Madras · Toni Pitassi · Richard Zemel
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #132
Hunting for Discriminatory Proxies in Linear Regression Models
In Tue Poster Session B
Samuel Yeom · Anupam Datta · Matt Fredrikson
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #133
Empirical Risk Minimization Under Fairness Constraints
In Tue Poster Session B
Michele Donini · Luca Oneto · Shai Ben-David · John Shawe-Taylor · Massimiliano Pontil
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #134
Approximation algorithms for stochastic clustering
In Tue Poster Session B
David Harris · Shi Li · Aravind Srinivasan · Khoa Trinh · Thomas Pensyl
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #135
Re-evaluating evaluation
In Tue Poster Session B
David Balduzzi · Karl Tuyls · Julien Perolat · Thore Graepel
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #136
Does mitigating ML's impact disparity require treatment disparity?
In Tue Poster Session B
Zachary Lipton · Julian McAuley · Alexandra Chouldechova
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #137
Enhancing the Accuracy and Fairness of Human Decision Making
In Tue Poster Session B
Isabel Valera · Adish Singla · Manuel Gomez Rodriguez
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #138
The Price of Fair PCA: One Extra dimension
In Tue Poster Session B
Samira Samadi · Uthaipon Tantipongpipat · Jamie Morgenstern · Mohit Singh · Santosh Vempala
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #139
Practical Methods for Graph Two-Sample Testing
In Tue Poster Session B
Debarghya Ghoshdastidar · Ulrike von Luxburg
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #140
Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent Elements
In Tue Poster Session B
Ankush Mandal · He Jiang · Anshumali Shrivastava · Vivek Sarkar
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #141
KDGAN: Knowledge Distillation with Generative Adversarial Networks
In Tue Poster Session B
Xiaojie Wang · Rui Zhang · Yu Sun · Jianzhong Qi
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #142
Modeling Dynamic Missingness of Implicit Feedback for Recommendation
In Tue Poster Session B
Menghan Wang · Mingming Gong · Xiaolin Zheng · Kun Zhang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #143
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence
In Tue Poster Session B
Trong Dinh Thac Do · Longbing Cao
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #144
Non-metric Similarity Graphs for Maximum Inner Product Search
In Tue Poster Session B
Stanislav Morozov · Artem Babenko
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #145
Norm-Ranging LSH for Maximum Inner Product Search
In Tue Poster Session B
Xiao Yan · Jinfeng Li · Xinyan Dai · Hongzhi Chen · James Cheng
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #146
A Dual Framework for Low-rank Tensor Completion
In Tue Poster Session B
Madhav Nimishakavi · Pratik Kumar Jawanpuria · Bamdev Mishra
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #147
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch
In Tue Poster Session B
Osman Asif Malik · Stephen Becker
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #148
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
In Tue Poster Session B
Zhihui Zhu · Xiao Li · Kai Liu · Qiuwei Li
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #149
Semidefinite relaxations for certifying robustness to adversarial examples
In Tue Poster Session B
Aditi Raghunathan · Jacob Steinhardt · Percy Liang
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #150
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
In Tue Poster Session B
Borja Balle · Gilles Barthe · Marco Gaboardi
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #151
Differentially Private Testing of Identity and Closeness of Discrete Distributions
In Tue Poster Session B
Jayadev Acharya · Ziteng Sun · Huanyu Zhang
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #152
Differentially Private k-Means with Constant Multiplicative Error
In Tue Poster Session B
Uri Stemmer · Haim Kaplan
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #153
Local Differential Privacy for Evolving Data
In Tue Poster Session B
Matthew Joseph · Aaron Roth · Jonathan Ullman · Bo Waggoner
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #154
Adversarial Attacks on Stochastic Bandits
In Tue Poster Session B
Kwang-Sung Jun · Lihong Li · Yuzhe Ma · Jerry Zhu
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #155
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization
In Tue Poster Session B
Bargav Jayaraman · Lingxiao Wang · David Evans · Quanquan Gu
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #156
A Spectral View of Adversarially Robust Features
In Tue Poster Session B
Shivam Garg · Vatsal Sharan · Brian Zhang · Gregory Valiant
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #157
Efficient Formal Safety Analysis of Neural Networks
In Tue Poster Session B
Shiqi Wang · Kexin Pei · Justin Whitehouse · Junfeng Yang · Suman Jana
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #158
Contamination Attacks and Mitigation in Multi-Party Machine Learning
In Tue Poster Session B
Jamie Hayes · Olga Ohrimenko
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #159
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
In Tue Poster Session B
Wenbo Guo · Sui Huang · Yunzhe Tao · Xinyu Xing · Lin Lin
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #160
Data-Driven Clustering via Parameterized Lloyd's Families
In Tue Poster Session B
Maria-Florina Balcan · Travis Dick · Colin White
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #161
Manifold Structured Prediction
In Tue Poster Session B
Alessandro Rudi · Carlo Ciliberto · Gian Maria Marconi · Lorenzo Rosasco
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #162
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
In Tue Poster Session B
Timur Garipov · Pavel Izmailov · Dmitrii Podoprikhin · Dmitry Vetrov · Andrew Wilson
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #163
Masking: A New Perspective of Noisy Supervision
In Tue Poster Session B
Bo Han · Jiangchao Yao · Gang Niu · Mingyuan Zhou · Ivor Tsang · Ya Zhang · Masashi Sugiyama
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #164
Supervising Unsupervised Learning
In Tue Poster Session B
Vikas Garg · Adam Kalai
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #165
One-Shot Unsupervised Cross Domain Translation
In Tue Poster Session B
Sagie Benaim · Lior Wolf
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #166
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
In Tue Poster Session B
Kirthevasan Kandasamy · Willie Neiswanger · Jeff Schneider · Barnabas Poczos · Eric Xing
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #167
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
In Tue Poster Session B
Tyler Scott · Karl Ridgeway · Michael Mozer
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #168
Completing State Representations using Spectral Learning
In Tue Poster Session B
Nan Jiang · Alex Kulesza · Satinder Singh
[ Paper]  [ Poster] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #169
Data-Efficient Hierarchical Reinforcement Learning
In Tue Poster Session B
Ofir Nachum · Shixiang (Shane) Gu · Honglak Lee · Sergey Levine
[ Paper] 
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #170
The Cluster Description Problem - Complexity Results, Formulations and Approximations
In Tue Poster Session B
Ian Davidson · Antoine Gourru · S. S. Ravi
[ Paper] 
Break
Tue Dec 04 03:05 PM -- 03:30 PM (PST)
Coffee Break