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NIPS · 24.8k rows

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8,700	The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classiﬁers Alex X. Lu Computer Science, University of Toronto alexlu@cs.toronto.edu Amy X. Lu Computer Science, University of Toronto Vector Institute amyxlu@cs.toronto.edu Wiebke Schormann ...	2019	1403
8,701	Counting the Optimal Solutions in Graphical Models Radu Marinescu IBM Research Dublin, Ireland radu.marinescu@ie.ibm.com Rina Dechter University of California, Irvine Irvine, CA 92697, USA dechter@ics.uci.edu Abstract We introduce #opt, a new inference task for graphical models which calls for cou...	2019	1404
8,702	Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems Asma Ghandeharioun∗, Judy Hanwen Shen∗, Natasha Jaques∗, Craig Ferguson, Noah Jones, Agata Lapedriza, Rosalind Picard Department of Media Arts and Science Massachusetts Institute of Technology Cambridge, MA 02139 {asm...	2019	1405
8,703	Robust Multi-agent Counterfactual Prediction Alexander Peysakhovich∗ Facebook AI Research Christian Kroer∗ Facebook Core Data Science Adam Lerer∗ Facebook AI Research Abstract We consider the problem of using logged data to make predictions about what would happen if we changed the ‘rules of the game’...	2019	1406
8,704	On Tractable Computation of Expected Predictions Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, and Guy Van den Broeck Department of Computer Science University of California, Los Angeles {pashak,yjchoi,yliang,aver,guyvdb}@cs.ucla.edu Abstract Computing expected predictions of discriminative mo...	2019	1407
8,705	Stagewise Training Accelerates Convergence of Testing Error Over SGD Zhuoning Yuan†, Yan Yan†, Rong Jin‡, Tianbao Yang† †Department of Computer Science, The University of Iowa, Iowa City, IA 52242, USA ‡Machine Intelligence Technology, Alibaba Group, Bellevue, WA 98004, USA {zhuoning-yuan, yan-yan-2, tianbao-...	2019	1408
8,706	Speciﬁc and Shared Causal Relation Modeling and Mechanism-Based Clustering Biwei Huang 1 ∗, Kun Zhang1, Pengtao Xie2, Mingming Gong3, Eric Xing2,4, Clark Glymour1 1Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA, USA. 2Petuum Inc., USA. 3School of Mathematics and Statistics, University of...	2019	1409
8,707	Semantic-Guided Multi-Attention Localization for Zero-Shot Learning Yizhe Zhu∗ Rutgers University yizhe.zhu@rutgers.edu, Jianwen Xie Hikvision Research Institute jianwen@ucla.edu Zhiqiang Tang Rutgers University zhiqiang.tang@rutgers.edu, Xi Peng University of Delaware xipeng@udel.edu Ahmed ...	2019	141
8,708	Computational Separations between Sampling and Optimization Kunal Talwar Google Brain Mountain View, CA kunal@google.com Abstract Two commonly arising computational tasks in Bayesian learning are Optimization (Maximum A Posteriori estimation) and Sampling (from the posterior distribution). In the convex...	2019	1410
8,709	Classiﬁcation Accuracy Score for Conditional Generative Models Suman Ravuri & Oriol Vinyals∗ DeepMind London, UK N1C 4AG ravuris, vinyals@google.com Abstract Deep generative models (DGMs) of images are now sufﬁciently mature that they produce nearly photorealistic samples and obtain scores similar to th...	2019	1411
8,710	Unsupervised Meta-Learning for Few-Shot Image Classiﬁcation Siavash Khodadadeh, Ladislau Bölöni Dept. of Computer Science University of Central Florida siavash.khodadadeh@knights.ucf.edu, lboloni@cs.ucf.edu Mubarak Shah Center for Research in Computer Vision University of Central Florida shah@crcv.ucf...	2019	1412
8,711	Transferable Normalization: Towards Improving Transferability of Deep Neural Networks Ximei Wang, Ying Jin, Mingsheng Long (B)∗, Jianmin Wang, and Michael I. Jordan♯ School of Software, BNRist, Tsinghua University, China Research Center for Big Data, Tsinghua University, China National Engineering Laboratory ...	2019	1413
8,712	Semi-Implicit Graph Variational Auto-Encoders Arman Hasanzadeh†∗, Ehsan Hajiramezanali†∗, Nick Dufﬁeld†, Krishna Narayanan†, Mingyuan Zhou‡, Xiaoning Qian† † Department of Electrical and Computer Engineering, Texas A&M University {armanihm, ehsanr, duffieldng, krn, xqian}@tamu.edu ‡ McCombs School of Business...	2019	1414
8,713	Efﬁcient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds Minshuo Chen Haoming Jiang Wenjing Liao Tuo Zhao Georgia Institute of Technology {mchen393, jianghm, wliao60, tourzhao}@gatech.edu Abstract Deep neural networks have revolutionized many real world applications, due...	2019	1415
8,714	GOT: An Optimal Transport framework for Graph comparison Hermina Petric Maretic Ecole Polytechnique Fédérale de Lausanne Signal Processing Laboratory (LTS4) Lausanne, Switzerland hermina.petricmaretic@epfl.ch Mireille EL Gheche Ecole Polytechnique Fédérale de Lausanne Signal Processing Laboratory (LTS...	2019	1416
8,715	Multivariate Distributionally Robust Convex Regression under Absolute Error Loss Jose Blanchet Stanford MS&E jose.blanchet@stanford.edu Peter W. Glynn Stanford MS&E glynn@stanford.edu Jun Yan Stanford Statistics junyan65@stanford.edu Zhengqing Zhou Stanford Mathematics zqzhou@stanford.edu Ab...	2019	1417
8,716	A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim Google Brain shooker,dumitru,pikinder,beenkim@google.com Abstract We propose an empirical measure of the approximate accuracy of feature importance estimates in deep neural networks. ...	2019	1418
8,717	Biases for Emergent Communication in Multi-agent Reinforcement Learning Tom Eccles DeepMind London, UK eccles@google.com Yoram Bachrach DeepMind London, UK yorambac@google.com Guy Lever DeepMind London, UK guylever@google.com Angeliki Lazaridou DeepMind London, UK angeliki@google.com ...	2019	1419
8,718	Distributionally Robust Optimization and Generalization in Kernel Methods Matthew Staib MIT CSAIL mstaib@mit.edu Stefanie Jegelka MIT CSAIL stefje@csail.mit.edu Abstract Distributionally robust optimization (DRO) has attracted attention in machine learning due to its connections to regularization, g...	2019	142
8,719	Zero-shot Knowledge Transfer via Adversarial Belief Matching Paul Micaelli University of Edinburgh {paul.micaelli}@ed.ac.uk Amos Storkey University of Edinburgh {a.storkey}@ed.ac.uk Abstract Performing knowledge transfer from a large teacher network to a smaller student is a popular task in modern d...	2019	1420
8,720	Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control Armin Lederer Technical University of Munich armin.lederer@tum.de Jonas Umlauft Technical University of Munich jonas.umlauft@tum.de Sandra Hirche Technical University of Munich hirche@tum.de Abstract Data-drive...	2019	1421
8,721	Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models Yunfei Teng∗,1 yt1208@nyu.edu Wenbo Gao∗,2 wg2279@columbia.edu Francois Chalus chalusf3@gmail.com Anna Choromanska ac5455@nyu.edu Donald Goldfarb goldfarb@columbia.edu Adrian Weller aw665@cam.ac.uk Abstract ...	2019	1422
8,722	Random deep neural networks are biased towards simple functions Giacomo De Palma MechE & RLE MIT Cambridge MA 02139, USA gdepalma@mit.edu Bobak T. Kiani MechE & RLE MIT Cambridge MA 02139, USA bkiani@mit.edu Seth Lloyd MechE, Physics & RLE MIT Cambridge MA 02139, USA slloyd@mit.edu Abs...	2019	1423
8,723	Discrete Object Generation with Reversible Inductive Construction Ari Seff Princeton University Princeton, NJ aseff@princeton.edu Wenda Zhou Columbia University New York, NY wz2335@columbia.edu Farhan Damani Princeton University Princeton, NJ fdamani@princeton.edu Abigail Doyle Princeton U...	2019	1424
8,724	Adaptively Aligned Image Captioning via Adaptive Attention Time Lun Huang1 Wenmin Wang1,3∗ Yaxian Xia1 Jie Chen1,2 1School of Electronic and Computer Engineering, Peking University 2Peng Cheng Laboratory 3Macau University of Science and Technology huanglun@pku.edu.cn, {wangwm@ece.pku.edu.cn, wmwang@mu...	2019	1425
8,725	Fully Dynamic Consistent Facility Location Vincent Cohen-Addad, CNRS & Sorbonne Universit´e vcohen@di.ens.fr Niklas Hjuler, University of Copenhagen hjuler@di.ku.dk Nikos Parotsidis, University of Copenhagen nipa@di.ku.dk David Saulpic, Ecole normale sup´erieure Sorbonne Univerist´e david.saul...	2019	1426
8,726	Efﬁcient Rematerialization for Deep Networks Ravi Kumar Google Research Mountain View, CA 94043 ravi.k53@gmail.com Manish Purohit Google Research Mountain View, CA 94043 mpurohit@google.com Zoya Svitkina Google Research Mountain View, CA 94043 zoya@google.com Erik Vee Google Research Mount...	2019	1427
8,727	Flow-based Image-to-Image Translation with Feature Disentanglement Ruho Kondo Toyota Central R&D Labs. r-kondo@mosk.tytlabs.co.jp Keisuke Kawano Toyota Central R&D Labs. kawano@mosk.tytlabs.co.jp Satoshi Koide Toyota Central R&D Labs. koide@mosk.tytlabs.co.jp Takuro Kutsuna Toyota Central R&D La...	2019	1428
8,728	Kernel Instrumental Variable Regression Rahul Singh MIT Economics rahul.singh@mit.edu Maneesh Sahani Gatsby Unit, UCL maneesh@gatsby.ucl.ac.uk Arthur Gretton Gatsby Unit, UCL arthur.gretton@gmail.com Abstract Instrumental variable (IV) regression is a strategy for learning causal relationships i...	2019	143
8,729	Metalearned Neural Memory Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler Microsoft Research Montréal, Québec, Canada tsendsuren.munkhdalai@microsoft.com Abstract We augment recurrent neural networks with an external memory mechanism that builds upon recent progress in metalearning. W...	2019	144
8,730	Learning Bayesian Networks with Low Rank Conditional Probability Tables Adarsh Barik Department of Computer Science Purdue University West Lafayette, Indiana, USA abarik@purdue.edu Jean Honorio Department of Computer Science Purdue University West Lafayette, Indiana, USA jhonorio@purdue.edu Abst...	2019	145
8,731	Large Scale Adversarial Representation Learning Jeff Donahue DeepMind jeffdonahue@google.com Karen Simonyan DeepMind simonyan@google.com Abstract Adversarially trained generative models (GANs) have recently achieved compelling image synthesis results. But despite early successes in using GANs for unsu...	2019	146
8,732	Hindsight Credit Assignment Anna Harutyunyan, Will Dabney, Thomas Mesnard, Nicolas Heess, Mohammad G. Azar, Bilal Piot, Hado van Hasselt, Satinder Singh, Greg Wayne, Doina Precup, Rémi Munos DeepMind {harutyunyan, wdabney, munos}@google.com Abstract We consider the problem of efﬁcient credit assignment in r...	2019	147
8,733	Zero-shot Learning via Simultaneous Generating and Learning Hyeonwoo Yu Beomhee Lee Automation and Systems Research Institute (ASRI) Dept. of Electrical and Computer Engineering Seoul National University {bgus2000,bhlee}@snu.ac.kr Abstract To overcome the absence of training data for unseen classes, c...	2019	148
8,734	Direct Optimization through arg max for Discrete Variational Auto-Encoder Guy Lorberbom Technion Andreea Gane MIT Tommi Jaakkola MIT Tamir Hazan Technion Abstract Reparameterization of variational auto-encoders with continuous random variables is an effective method for reducing the variance of ...	2019	149
8,735	Hyperspherical Prototype Networks Pascal Mettes ISIS Lab University of Amsterdam Elise van der Pol UvA-Bosch Delta Lab University of Amsterdam Cees G. M. Snoek ISIS Lab University of Amsterdam Abstract This paper introduces hyperspherical prototype networks, which unify classiﬁcation and regress...	2019	15
8,736	Generalization Error Analysis of Quantized Compressive Learning Xiaoyun Li Department of Statistics Rutgers University Piscataway, NJ 08854, USA xiaoyun.li@rutgers.edu Ping Li Cognitive Computing Lab Baidu Research Bellevue, WA 98004, USA liping11@baidu.com Abstract Compressive1 learning is an...	2019	150
8,737	Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning David Janz∗† University of Cambridge dj343@cam.ac.uk Jiri Hron∗ University of Cambridge jh2084@cam.ac.uk Przemysław Mazur Wayve Technologies Katja Hofmann Microsoft Research José Miguel Hernández-Lobato Univer...	2019	151
8,738	Trivializations for Gradient-Based Optimization on Manifolds Mario Lezcano-Casado Department of Mathematics University of Oxford Oxford, mario.lezcanocasado@maths.ox.ac.uk Abstract We introduce a framework to study the transformation of problems with manifold constraints into unconstrained problems th...	2019	152
8,739	On the Fairness of Disentangled Representations Francesco Locatello2,5, Gabriele Abbati3, Tom Rainforth4, Stefan Bauer5, Bernhard Schölkopf5, and Olivier Bachem1 1Google Research, Brain Team 2Dept. of Computer Science, ETH Zurich 3Dept. of Engineering Science, University of Oxford 4Dept. of Statistics, Univ...	2019	153
8,740	When to use parametric models in reinforcement learning? Hado van Hasselt DeepMind London, UK hado@google.com Matteo Hessel DeepMind London, UK mtthss@google.com John Aslanides DeepMind London, UK jaslanides@google.com Abstract We examine the question of when and how parametric models are ...	2019	154
8,741	Ouroboros: On Accelerating Training of Transformer-Based Language Models Qian Yang1∗, Zhouyuan Huo2, Wenlin Wang1, Heng Huang2, Lawrence Carin1 Department of Electrical and Computer Engineering 1 Duke University 2 University of Pittsburgh qian.yang@duke.edu Abstract Language models are essential for nat...	2019	155
8,742	MonoForest framework for tree ensemble analysis Igor Kuralenok Yandex / JetBrains Research solar@yandex-team.ru Vasily Ershov Yandex noxoomo@yandex-team.ru Igor Labutin Yandex / SPb HSE Labutin.IgorL@gmail.com Abstract In this work, we introduce a new decision tree ensemble representation framewor...	2019	156
8,743	Correlation Priors for Reinforcement Learning Bastian Alt⇤ Adrian Šoši´c⇤ Heinz Koeppl Department of Electrical Engineering and Information Technology Technische Universität Darmstadt {bastian.alt, adrian.sosic, heinz.koeppl}@bcs.tu-darmstadt.de Abstract Many decision-making problems naturally exhibit p...	2019	157
8,744	Push-pull Feedback Implements Hierarchical Information Retrieval Efﬁciently Xiao Liu1 Xiaolong Zou1 Zilong Ji2 Gengshuo Tian3 Yuanyuan Mi4 Tiejun Huang1 K. Y. Michael Wong5 Si Wu1 1School of Electronics Engineering & Computer Science, IDG/McGovern Institute for Brain Research, Peking-Tsinghua Cent...	2019	158
8,745	Calibration tests in multi-class classiﬁcation: A unifying framework David Widmann Department of Information Technology Uppsala University, Sweden david.widmann@it.uu.se Fredrik Lindsten Division of Statistics and Machine Learning Linköping University, Sweden fredrik.lindsten@liu.se Dave Zachariah ...	2019	159
8,746	Lower Bounds on Adversarial Robustness from Optimal Transport Arjun Nitin Bhagoji ∗ Department of Electrical Engineering Princeton University abhagoji@princeton.edu Daniel Cullina ∗,† Department of Electrical Engineering Pennsylvania State University cullina@psu.edu Prateek Mittal Department of El...	2019	16
8,747	Joint Optimization of Tree-based Index and Deep Model for Recommender Systems Han Zhu1, Daqing Chang1, Ziru Xu1,2∗, Pengye Zhang1 1Alibaba Group 2School of Software, Tsinghua University Beijing, China {zhuhan.zh, daqing.cdq, ziru.xzr, pengye.zpy}@alibaba-inc.com Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai ...	2019	160
8,748	Accurate Uncertainty Estimation and Decomposition in Ensemble Learning Jeremiah Zhe Liu∗ Google Research & Harvard University zhl112@mail.harvard.edu John Paisley Columbia University jpaisley@columbia.edu Marianthi-Anna Kioumourtzoglou Columbia University mk3961@cumc.columbia.edu Brent A. Coull ...	2019	161
8,749	Globally Optimal Learning for Structured Elliptical Losses Yoav Wald∗ Hebrew University yoav.wald@mail.huji.ac.il Nofar Noy Hebrew University nofar.noy@mail.huji.ac.il Ami Wiesel Google Research and Hebrew University awiesel@google.com Gal Elidan Google Research and Hebrew University elidan@go...	2019	162
8,750	MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Google Research dberth@google.com Nicholas Carlini Google Research ncarlini@google.com Ian Goodfellow Work done at Google ian-academic@mailfence.com Avital Oliver Google Research avitalo@google.com Nicolas Papernot G...	2019	163
8,751	Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks Qiyang Li∗, Saminul Haque∗, Cem Anil, James Lucas, Roger Grosse, Jörn-Henrik Jacobsen University of Toronto, Vector Institute {qiyang.li, saminul.haque, cem.anil}@mail.utoronto.ca {jlucas, rgrosse}@cs.toronto.edu j.jacobsen@vect...	2019	164
8,752	Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder∗ Ji Feng1,2, Qi-Zhi Cai2, Zhi-Hua Zhou1 1National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China 2Sinovation Ventures AI Institute {fengj, zhouzh}@lamda.nju.edu.cn, caiqizhi@chuangxin.com...	2019	165
8,753	Invariance-inducing regularization using worst-case transformations sufﬁces to boost accuracy and spatial robustness Fanny Yang†,, Zuowen Wang, Christina Heinze-Deml Stanford University†, ETH Zurich {fan.yang@stat.math.ethz.ch, wangzu@ethz.ch, heinzedeml@stat.math.ethz.ch} Abstract This work provides th...	2019	166
8,754	Attentive State-Space Modeling of Disease Progression Ahmed M. Alaa ECE Department UCLA ahmedmalaa@ucla.edu Mihaela van der Schaar UCLA, University of Cambridge, and Alan Turing Institute {mv472@cam.ac.uk,mihaela@ee.ucla.edu} Abstract Models of disease progression are instrumental for predicting p...	2019	167
8,755	On two ways to use determinantal point processes for Monte Carlo integration Guillaume Gautier†⇤ g.gautier@inria.fr Rémi Bardenet† remi.bardenet@gmail.com Michal Valko‡⇤† valkom@deepmind.com †Univ. Lille, CNRS, Centrale Lille, UMR 9189 – CRIStAL, 59651 Villeneuve d’Ascq, France ⇤Inria Lille-Nord Europ...	2019	168
8,756	ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls Jinjin Tian Department of Statistics and Data Science Carnegie Mellon University Pittsburgh, PA 15213 jinjint@andrew.cmu.edu Aaditya Ramdas Department of Statistics and Data Science Carnegie Mellon University Pitt...	2019	169
8,757	A Nonconvex Approach for Exact and Efﬁcient Multichannel Sparse Blind Deconvolution Qing Qu New York University qq213@nyu.edu Xiao Li Chinese University of Hong Kong xli@ee.cuhk.edu.hk Zhihui Zhu˚ Johns Hopkins University zzhu29@jhu.edu Abstract We study the multi-channel sparse blind deconvolut...	2019	17
8,758	Controllable Text-to-Image Generation Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr University of Oxford {bowen.li, thomas.lukasiewicz}@cs.ox.ac.uk {xiaojuan.qi, philip.torr}@eng.ox.ac.uk Abstract In this paper, we propose a novel controllable text-to-image generative adversarial network (Con...	2019	170
8,759	Exploring Algorithmic Fairness in Robust Graph Covering Problems Aida Rahmattalabi ⇤ rahmatta@usc.edu Phebe Vayanos ⇤ phebe.vayanos@usc.edu Anthony Fulginiti † anthony.fulginiti@du.edu Eric Rice ⇤ ericr@usc.edu Bryan Wilder ‡ bwilder@g.harvard.edu Amulya Yadav § amulya@psu.edu Milind Tambe ‡...	2019	171
8,760	Fast Convergence of Natural Gradient Descent for Overparameterized Neural Networks Guodong Zhang1,2, James Martens3, Roger Grosse1,2 University of Toronto1, Vector Institute2, DeepMind3 {gdzhang, rgrosse}@cs.toronto.edu, jamesmartens@google.com Abstract Natural gradient descent has proven effective at mitig...	2019	172
8,761	Reducing the variance in online optimization by transporting past gradients Sébastien M. R. Arnold ∗ University of Southern California Los Angeles, CA seb.arnold@usc.edu Pierre-Antoine Manzagol Google Brain Montréal, QC manzagop@google.com Reza Babanezhad University of British Columbia Vancouver...	2019	173
8,762	Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces Benyamin Haghi1,*, Spencer Kellis2, Sahil Shah1, Maitreyi Ashok1, Luke Bashford2, Daniel Kramer3, Brian Lee3, Charles Liu3, Richard A. Andersen2, Azita Emami1 1 Electrical Engineer...	2019	174
8,763	Graph Normalizing Flows Jenny Liu∗ University of Toronto Vector Institute jyliu@cs.toronto.edu Aviral Kumar∗† UC Berkeley aviralk@berkeley.edu Jimmy Ba University of Toronto Vector Institute jba@cs.toronto.edu Jamie Kiros Google Research kiros@google.com Kevin Swersky Google Research k...	2019	175
8,764	Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction Hao Zheng, Faming Fang∗, Guixu Zhang Shanghai Key Laboratory of Multidimensional Information Processing, and the School of Computer Science and Technology East China Normal University wsnbzh@hotmail.com, {fmfang, gxzhang}@c...	2019	176
8,765	Neural networks grown and self-organized by noise Guruprasad Raghavan Department of Bioengineering Caltech Pasadena, CA 91125 graghava@caltech.edu Matt Thomson Biology and Biological Engineering Caltech Pasadena, CA 91125 mthomson@caltech.edu Abstract Living neural networks emerge through a proc...	2019	177
8,766	Likelihood Ratios for Out-of-Distribution Detection Jie Ren⇤† Google Research jjren@google.com Peter J. Liu ‡ Google Research peterjliu@google.com Emily Fertig† Google Research emilyaf@google.com Jasper Snoek Google Research jsnoek@google.com Ryan Poplin Google Research rpoplin@google.com ...	2019	178
8,767	Root Mean Square Layer Normalization Biao Zhang1 Rico Sennrich2,1 1School of Informatics, University of Edinburgh 2Institute of Computational Linguistics, University of Zurich B.Zhang@ed.ac.uk, sennrich@cl.uzh.ch Abstract Layer normalization (LayerNorm) has been successfully applied to various deep neur...	2019	179
8,768	Generalization of Reinforcement Learners with Working and Episodic Memory Meire Fortunato? Melissa Tan? Ryan Faulkner? Steven Hansen? Adrià Puigdomènech Badia Gavin Buttimore Charlie Deck Joel Z Leibo Charles Blundell DeepMind {meirefortunato, melissatan, rfaulk, stevenhansen, adriap, buttimor...	2019	18
8,769	HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs Naganand Yadati Indian Institute of Science, Bangalore y.naganand@gmail.com Madhav Nimishakavi Indian Institute of Science, Bangalore cse.madhav@gmail.com Prateek Yadav Indian Institute of Science, Bangalore ugprateek@gma...	2019	180
8,770	Asymptotics for Sketching in Least Squares Edgar Dobriban Department of Statistics University of Pennsylvania Philadelphia, PA 19104 dobriban@wharton.upenn.edu Sifan Liu∗ Department of Statistics Stanford University Stanford, CA 94305 sfliu@stanford.edu Abstract We consider a least squares regre...	2019	181
8,771	Gradient Dynamics of Shallow Univariate ReLU Networks Francis Williams∗ Matthew Trager∗ Claudio Silva Daniele Panozzo Denis Zorin Joan Bruna New York University Abstract We present a theoretical and empirical study of the gradient dynamics of overparameterized shallow ReLU networks with one-dimensio...	2019	182
8,772	Chirality Nets for Human Pose Regression Raymond A. Yeh∗, Yuan-Ting Hu*, Alexander G. Schwing Department of Electrical Engineering, University of Illinois at Urbana-Champaign {yeh17, ythu2, aschwing}@illinois.edu Abstract We propose Chirality Nets, a family of deep nets that is equivariant to the “chirali...	2019	183
8,773	TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines Jingxiang Lin, Unnat Jain, Alexander G. Schwing University of Illinois at Urbana-Champaign https://deanplayerljx.github.io/tabvcr Abstract Reasoning is an important ability that we learn from a very early age. Yet, reasoning is extr...	2019	184
8,774	Multiclass Performance Metric Elicitation Gaurush Hiranandani Department of Computer Science University of Illinois at Urbana-Champaign gaurush2@illinois.edu Shant Boodaghians Department of Computer Science University of Illinois at Urbana-Champaign boodagh2@illinois.edu Ruta Mehta Department of Com...	2019	185
8,775	Assessing Social and Intersectional Biases in Contextualized Word Representations Yi Chern Tan, L. Elisa Celis Yale University {yichern.tan, elisa.celis}@yale.edu Abstract Social bias in machine learning has drawn signiﬁcant attention, with work ranging from demonstrations of bias in a multitude of applic...	2019	186
8,776	Likelihood-Free Overcomplete ICA and Applications in Causal Discovery Chenwei Ding UBTECH Sydney AI Centre School of Computer Science, Faculty of Engineering University of Sydney cdin2224@uni.sydney.edu.au Mingming Gong School of Mathematics and Statistics University of Melbourne mingming.gong@unime...	2019	187
8,777	MaCow: Masked Convolutional Generative Flow Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard Hovy Carnegie Mellon University Pittsburgh, PA, USA xuezhem,xiangk@cs.cmu.edu, shanghaz@andrew.cmu.edu, hovy@cmu.edu Abstract Flow-based generative models, conceptually attractive due to tractability of the exact lo...	2019	188
8,778	Batched Multi-armed Bandits Problem Zijun Gao, Yanjun Han, Zhimei Ren, Zhengqing Zhou Department of {Statistics, Electrical Engineering, Statistics, Mathematics} Stanford University {zijungao,yjhan,zren,zqzhou}@stanford.edu Abstract In this paper, we study the multi-armed bandit problem in the batched setti...	2019	189
8,779	DTWNet: a Dynamic Time Warping Network Xingyu Cai University of Connecticut Tingyang Xu Tencent AI Lab Jinfeng Yi JD.com AI Lab Junzhou Huang Tencent AI Lab Sanguthevar Rajasekaran University of Connecticut Abstract Dynamic Time Warping (DTW) is widely used as a similarity measure in various d...	2019	19
8,780	High-Quality Self-Supervised Deep Image Denoising Samuli Laine NVIDIA∗ Tero Karras NVIDIA Jaakko Lehtinen NVIDIA, Aalto University Timo Aila NVIDIA Abstract We describe a novel method for training high-quality image denoising models based on unorganized collections of corrupted images. The trainin...	2019	190
8,781	Generalization in multitask deep neural classiﬁers: a statistical physics approach Tyler Lee Intel AI Lab tyler.p.lee@intel.com Anthony Ndirango Intel AI Lab anthony.ndirango@intel.com Abstract A proper understanding of the striking generalization abilities of deep neural networks presents an enduring...	2019	191
8,782	Causal Regularization Dominik Janzing Amazon Research Tübingen Germany janzind@amazon.com Abstract We argue that regularizing terms in standard regression methods not only help against overﬁtting ﬁnite data, but sometimes also help in getting better causal models. We ﬁrst consider a multi-dimensional va...	2019	192
8,783	Locality-Sensitive Hashing for f-Divergences and Kre˘ın Kernels: Mutual Information Loss and Beyond Lin Chen1,2 Hossein Esfandiari2 Thomas Fu2 Vahab S. Mirrokni2 1Yale University 2Google Research lin.chen@yale.edu, {esfandiari,thomasfu,mirrokni}@google.com Abstract Computing approximate nearest ne...	2019	193
8,784	Augmented Neural ODEs Emilien Dupont University of Oxford dupont@stats.ox.ac.uk Arnaud Doucet University of Oxford doucet@stats.ox.ac.uk Yee Whye Teh University of Oxford y.w.teh@stats.ox.ac.uk Abstract We show that Neural Ordinary Differential Equations (ODEs) learn representations that preserve ...	2019	194
8,785	Efﬁcient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent Wenqing Hu Missouri University of Science and Techology huwen@mst.edu Chris Junchi Li Tencent AI Lab junchi.li.duke@gmail.com Xiangru Lian University of Rochester admin@mail.xrlian.com Ji Li...	2019	195
8,786	Regularizing Trajectory Optimization with Denoising Autoencoders Rinu Boney∗ Aalto University & Curious AI rinu.boney@aalto.fi Norman Di Palo∗ Sapienza University of Rome normandipalo@gmail.com Mathias Berglund Curious AI Alexander Ilin Aalto University & Curious AI Juho Kannala Aalto Universi...	2019	196
8,787	Multi-Criteria Dimensionality Reduction with Applications to Fairness Uthaipon (Tao) Tantipongpipat⇤† Samira Samadi ⇤‡ Mohit Singh⇤† Jamie Morgenstern⇤ Santosh Vempala⇤‡ Abstract Dimensionality reduction is a classical technique widely used for data analysis. One foundational instantiation is Principa...	2019	197
8,788	Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks Dina Obeid Hugo Ramambason Cengiz Pehlevan John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge, MA, USA {dinaobeid@seas,hugo_ramambason@g,cpehlevan@seas}.harvard.edu Abstract Synaptic...	2019	198
8,789	Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu⇤† Qi Cai⇤‡ Zhuoran Yang§ Zhaoran Wang¶ Abstract Proximal policy optimization and trust region policy optimization (PPO and TRPO) with actor and critic parametrized by neural networks achieve signiﬁcant empirical ...	2019	199
8,790	Learning to Propagate for Graph Meta-Learning Lu Liu1, Tianyi Zhou2, Guodong Long1, Jing Jiang1, Chengqi Zhang1 1Center for Artiﬁcial Intelligence, University of Technology Sydney 2Paul G. Allen School of Computer Science & Engineering, University of Washington lu.liu-10@student.uts.edu.au, tianyizh@uw.edu, guo...	2019	2
8,791	Learning Mean-Field Games Xin Guo University of California, Berkeley xinguo@berkeley.edu Anran Hu University of California, Berkeley anran_hu@berkeley.edu Renyuan Xu University of California, Berkeley renyuanxu@berkeley.edu Junzi Zhang Stanford University junziz@stanford.edu Abstract This pa...	2019	20
8,792	ANODEV2: A Coupled Neural ODE Framework Tianjun Zhang1⇤Zhewei Yao1⇤Amir Gholami1⇤ Kurt Keutzer1 Joseph Gonzalez1 George Biros2 Michael W. Mahoney1,3 1University of California at Berkeley, 2University of Texas at Austin, 3ICSI {tianjunz, zheweiy, amirgh, keutzer, jegonzal, and mahoneymw}@berkeley.edu, biros@ices...	2019	200
8,793	Learning Neural Networks with Adaptive Regularization Han Zhao∗†, Yao-Hung Hubert Tsai∗†, Ruslan Salakhutdinov†, Geoffrey J. Gordon†‡ †Carnegie Mellon University, ‡Microsoft Research Montreal {han.zhao,yaohungt,rsalakhu}@cs.cmu.edu geoff.gordon@microsoft.com Abstract Feed-forward neural networks can be un...	2019	201
8,794	Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels Yihan Jiang ECE Department University of Washington Seattle, United States yij021@uw.edu Hyeji Kim Samsung AI Center Cambridge Cambridge, United Kingdom hkim1505@gmail.com Himanshu Asnani School of...	2019	202
8,795	DetNAS: Backbone Search for Object Detection Yukang Chen1†⇤, Tong Yang2†, Xiangyu Zhang2‡, Gaofeng Meng1, Xinyu Xiao1, Jian Sun2 1National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2Megvii Technology {yukang.chen, gfmeng, xinyu.xiao}@nlpr.ia.ac.cn {yangtong, zhangxi...	2019	203
8,796	Nonlinear scaling of resource allocation in sensory bottlenecks Laura R. Edmondson1,3, Alejandro Jiménez-Rodriguez2,3, Hannes P. Saal1,3 1Department of Psychology 2Department of Computer Science 3Shefﬁeld Robotics The University of Shefﬁeld {lredmondson1,a.jimenez-rodriguez,h.saal}@sheffield.ac.uk Abstr...	2019	204
8,797	What the Vec? Towards Probabilistically Grounded Embeddings Carl Allen1 Ivana Balaževi´c1 Timothy Hospedales1,2 1 School of Informatics, University of Edinburgh, UK 2 Samsung AI Centre, Cambridge, UK {carl.allen, ivana.balazevic, t.hospedales}@ed.ac.uk Abstract Word2Vec (W2V) and GloVe are popular, fa...	2019	205
8,798	Diffusion Improves Graph Learning Johannes Gasteiger, Stefan Weißenberger, Stephan Günnemann Technical University of Munich {j.gasteiger,stefan.weissenberger,guennemann}@in.tum.de Abstract Graph convolution is the core of most Graph Neural Networks (GNNs) and usually approximated by message passing between ...	2019	206
8,799	Inverting Deep Generative models, One layer at a time Qi Lei†, Ajil Jalal†, Inderjit S. Dhillon†‡, and Alexandros G. Dimakis† † UT Austin ‡ Amazon {leiqi@oden., ajiljalal@, inderjit@cs., dimakis@austin.}utexas.edu Abstract We study the problem of inverting a deep generative model with ReLU activations. ...	2019	207

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