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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]