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NIPS · 24.8k rows

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7,700	Faster Neural Networks Straight from JPEG Lionel Gueguen1 Alex Sergeev1 Ben Kadlec1 Rosanne Liu2 Jason Yosinski2 1Uber 2Uber AI Labs {lgueguen,asergeev,bkadlec,rosanne,yosinski}@uber.com Abstract The simple, elegant approach of training convolutional neural networks (CNNs) directly from RGB pixels...	2018	503
7,701	Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors Fei Jiang Department of Statistics and Actuarial Science The University of Hong Kong feijiang@hku.hk Guosheng Yin Department of Statistics and Actuarial Science The University of Hong Kong gyin@hku.hk Dominici Francesca ...	2018	504
7,702	Densely Connected Attention Propagation for Reading Comprehension ∗Yi Tay1, ∗Luu Anh Tuan2, Siu Cheung Hui3 and Jian Su4 1,3Nanyang Technological University, Singapore 2,4Institute for Infocomm Research, Singapore ytay017@e.ntu.edu.sg1 at.luu@i2r.a-star.edu.sg2 asschui@ntu.edu.sg3 sujian@i2r.a-star.edu....	2018	505
7,703	Query Complexity of Bayesian Private Learning Kuang Xu Stanford Graduate School of Business Stanford, CA 94305, USA kuangxu@stanford.edu Abstract We study the query complexity of Bayesian Private Learning: a learner wishes to locate a random target within an interval by submitting queries, in the presence...	2018	506
7,704	NAIS-NET: Stable Deep Networks from Non-Autonomous Differential Equations Marco Ciccone∗ Politecnico di Milano NNAISENSE SA marco.ciccone@polimi.it Marco Gallieri∗† NNAISENSE SA marco@nnaisense.com Jonathan Masci NNAISENSE SA jonathan@nnaisense.com Christian Osendorfer NNAISENSE SA christian...	2018	507
7,705	Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling Emilie Kaufmann1 Wouter M. Koolen2 Aurélien Garivier3 1 CNRS & U. Lille, CRIStAL / SequeL Inria Lille, emilie.kaufmann@univ-lille.fr 2 Centrum Wiskunde & Informatica, Amsterdam, wmkoolen@cwi.nl 3 UMPA, École normale supérieure de Lyon, ...	2018	508
7,706	Content preserving text generation with attribute controls Lajanugen Logeswaran˚ Honglak Lee: Samy Bengio: ˚University of Michigan, :Google Brain llajan@umich.edu,{honglak,bengio}@google.com Abstract In this work, we address the problem of modifying textual attributes of sentences. Given an input sent...	2018	509
7,707	Human-in-the-Loop Interpretability Prior Isaac Lage Department of Computer Science Harvard University isaaclage@g.harvard.edu Andrew Slavin Ross Department of Computer Science Harvard University andrew_ross@g.harvard.edu Been Kim Google Brain beenkim@google.com Samuel J. Gershman Department of...	2018	51
7,708	Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments Daniel D. Johnson, Daniel Gorelik, Ross Mawhorter, Kyle Suver, Weiqing Gu Department of Mathematics Harvey Mudd College Claremont, CA 91711 {ddjohnson, dgorelik, rmawhorter, ksu...	2018	510
7,709	Diﬀerentially Private Testing of Identity and Closeness of Discrete Distributions Jayadev Acharya ú Cornell University acharya@cornell.edu Ziteng Sun ú Cornell University zs335@cornell.edu Huanyu Zhang ú Cornell University hz388@cornell.edu Abstract We study the fundamental problems of identity ...	2018	511
7,710	Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates Quoc Tran-Dinh⇤ Department of Statistics and Operations Research, University of North Carolina at Chapel Hill Address: Hanes Hall 333, UNC-Chapel Hill, NC27599, USA. Email: quoctd@email.unc.edu Abstract We develop two new ...	2018	512
7,711	Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint Rajan Udwani Operations Research Center, M.I.T. rudwani@alum.mit.edu Abstract We consider the problem of multi-objective maximization of monotone submodular functions subject to cardinality constraint, often formulated...	2018	513
7,712	Fully Understanding The Hashing Trick Casper Freksen ∗ Department of Computer Science Aarhus University, Denmark cfreksen@cs.au.dk Lior Kamma ∗ Department of Computer Science Aarhus University, Denmark lior.kamma@cs.au.dk Kasper Green Larsen ∗ Department of Computer Science Aarhus University, Denm...	2018	514
7,713	Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes Andrea Tirinzoni Politecnico di Milano andrea.tirinzoni@polimi.it Xiangli Chen Amazon Robotics cxiangli@amazon.com Marek Petrik University of New Hampshire mpetrik@cs.unh.edu Brian D. Ziebart University of Illinois at Chica...	2018	515
7,714	Visual Reinforcement Learning with Imagined Goals Ashvin Nair∗, Vitchyr Pong∗, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine University of California, Berkeley {anair17,vitchyr,mdalal,shikharbahl,stevenlin598,svlevine}@berkeley.edu Abstract For an autonomous agent to fulﬁll a wide range of user-speci...	2018	516
7,715	DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Google Brain Tsung-Yi Lin Google Brain Quoc V. Le Google Brain Abstract Deep neural networks often work well when they are over-parameterized and trained with a massive amount of noise and regularization, such as weight deca...	2018	517
7,716	Exact natural gradient in deep linear networks and application to the nonlinear case Alberto Bernacchia Department of Engineering University of Cambridge Cambridge, UK, CB2 1PZ ab2347@cam.ac.uk Máté Lengyel Department of Engineering University of Cambridge Cambridge CB2 1PZ, UK Department of Cogni...	2018	518
7,717	RetGK: Graph Kernels based on Return Probabilities of Random Walks Zhen Zhang, Mianzhi Wang, Yijian Xiang, Yan Huang, and Arye Nehorai Department of Electrical and Systems Engineering Washington University in St. Louis St. Louis, MO 63130 {zhen.zhang, mianzhi.wang, yijian.xiang, yanhuang640, nehorai}@wustl....	2018	519
7,718	Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation Wenqi Ren ∗ IIE, CAS Jiawei Zhang SenseTime Research Lin Ma Tencent AI Lab Jinshan Pan NJUST Xiaochun Cao † IIE, CAS Wangmeng Zuo HIT Wei Liu Tencent AI Lab Ming-Hsuan Yang UCMerced, Google Cloud Abstract In this p...	2018	52
7,719	Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection Taylor Mordan(1, 2) taylor.mordan@lip6.fr Nicolas Thome(3) nicolas.thome@cnam.fr Gilles Henaff(2) gilles.henaff@fr.thalesgroup.com Matthieu Cord(1) matthieu.cord@lip6.fr (1) Sorbonne Université, CNRS, Labo...	2018	520
7,720	Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation Zhiqiang Xu Cognitive Computing Lab (CCL), Baidu Research National Engineering Laboratory of Deep Learning Technology and Application, China xuzhiqiang04@baidu.com Abstract Shift-and-invert preconditioning, as a classic ac...	2018	521
7,721	Inequity aversion improves cooperation in intertemporal social dilemmas Edward Hughes∗, Joel Z. Leibo∗, Matthew Phillips, Karl Tuyls, Edgar Dueñez-Guzman, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin McKee, Raphael Koster, Heather Roff, Thore Graepel DeepMind, London, United Kingdom {edwardhughes...	2018	522
7,722	Towards Deep Conversational Recommendations Raymond Li1, 2, Samira Ebrahimi Kahou1, 3, Hannes Schulz3, Vincent Michalski4, 5, Laurent Charlin5, 6, and Chris Pal1, 2, 5 1Ecole Polytechnique de Montréal 2Element AI 3Microsoft Research Montreal 4Université de Montréal 5Mila 6HEC Montréal Abstract There...	2018	523
7,723	Deep Generative Models for Distribution-Preserving Lossy Compression Michael Tschannen ETH Zürich michaelt@nari.ee.ethz.ch Eirikur Agustsson Google AI Perception eirikur@google.com Mario Lucic Google Brain lucic@google.com Abstract We propose and study the problem of distribution-preserving loss...	2018	524
7,724	With Friends Like These, Who Needs Adversaries? Saumya Jetley∗1 Nicholas A. Lord∗1,2 Philip H.S. Torr1,2 1Department of Engineering Science, University of Oxford 2Oxford Research Group, FiveAI Ltd. {sjetley, nicklord, phst}@robots.ox.ac.uk Abstract The vulnerability of deep image classiﬁcation networks ...	2018	525
7,725	Learning to Teach with Dynamic Loss Functions 1Lijun Wu†∗, 2Fei Tian†, 2Yingce Xia, 3Yang Fan⋆, 2Tao Qin, 1Jianhuang Lai, 2Tie-Yan Liu 1Sun Yat-sen University, Guangzhou, China 2Microsoft Research, Beijing, China 3University of Science and Technology of China, Hefei, China 1wulijun3@mail2.sysu.edu.cn, stslj...	2018	526
7,726	Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels Shahin Shahrampour Department of Industrial and Systems Engineering Texas A&M University College Station, TX 77843 shahin@tamu.edu Vahid Tarokh Department of Electrical and Computer Engineering Duke University ...	2018	527
7,727	Distributed Multitask Reinforcement Learning with Quadratic Convergence Rasul Tutunov PROWLER.io Cambridge, United Kingdom rasul@prowler.io Dongho Kim PROWLER.io Cambridge, United Kingdom dongho@prowler.io Haitham Bou-Ammar PROWLER.io Cambridge, United Kingdom haitham@prowler.io Abstract M...	2018	528
7,728	The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation Zi Yin Department of Electrical Engineering Stanford University s09600974@gmail.com Vin Sachidananda Department of Electrical Engineering Stanford University vsachi@stanford.edu Balaji Prabhakar Department of Electric...	2018	529
7,729	Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu University of California, Berkeley Abstract We consider adaptive control of the Linear Quadratic Regulator (LQR), where an unknown linear system is controlled su...	2018	53
7,730	Understanding Weight Normalized Deep Neural Networks with Rectiﬁed Linear Units Yixi Xu Department of Statistics Purdue University West Lafayette, IN 47907 xu573@purdue.edu Xiao Wang Department of Statistics Purdue University West Lafayette, IN 47907 wangxiao@purdue.edu Abstract This paper pre...	2018	530
7,731	Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks Hang Gao1, Zheng Shou1, Alireza Zareian1, Hanwang Zhang2, Shih-Fu Chang1 1Columbia University, 2Nanyang Technological University {hg2469, zs2262, az2407, sc250}@columbia.edu hanwangzhang@ntu.edu.sg Abstract Deep neural networks ...	2018	531
7,732	Bilevel Distance Metric Learning for Robust Image Recognition Jie Xu1,2, Lei Luo2, Cheng Deng1,∗, Heng Huang2,3∗ 1 School of Electronic Engineering, Xidian University, Xi’an, Shaanxi, China 2 Electrical and Computer Engineering, University of Pittsburgh, USA, 3 JDDGlobal.com jie.xu@pitt.edu,leiluo2017@pitt.ed...	2018	532
7,733	Integrated accounts of behavioral and neuroimaging data using ﬂexible recurrent neural network models Amir Dezfouli12# Richard Morris3† Fabio Ramos3‡ Peter Dayan4§ Bernard W. Balleine1⇤ 1UNSW Sydney 2Data61, CSIRO 3University of Sydney 4Gatsby Unit, UCL #akdezfuli@gmail.com †richardumorris@gmail.com §p.dayan@uc...	2018	533
7,734	Learning from Group Comparisons: Exploiting Higher Order Interactions Yao Li Department of Statistics University of California, Davis yaoli@ucdavis.edu Minhao Cheng Department of Computer Science University of California, Los Angeles mhcheng@ucla.edu Kevin Fujii Department of Statistics Universi...	2018	534
7,735	Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation Siyuan Huang 1 Siyuan Qi 2 Yinxue Xiao 2 huangsiyuan@ucla.edu syqi@cs.ucla.edu yinxuex@ucla.edu Yixin Zhu 1 Ying Nian Wu 1 Song-Chun Zhu 1,2 yixin.zhu@ucla.edu ywu@stat.ucla.edu sczhu@stat.ucla.edu...	2018	535
7,736	A Bandit Approach to Multiple Testing with False Discovery Control Kevin Jamieson⇤,†, Lalit Jain⇤ {jamieson,lalitj}@cs.washington.edu ⇤Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, and †Optimizely, San Francisco, CA Abstract We propose an adaptive samplin...	2018	536
7,737	HitNet: Hybrid Ternary Recurrent Neural Network Peiqi Wang1,2,4, Xinfeng Xie4, Lei Deng4, Guoqi Li3, Dongsheng Wang1,2∗, Yuan Xie4 1Department of Computer Science and Technology, Tsinghua University 2Beijing National Research Center for Information Science and Technology 3Department of Precision Instrument, Tsi...	2018	537
7,738	SLAYER: Spike Layer Error Reassignment in Time Sumit Bam Shrestha∗ Temasek Laboratories @ NUS National University of Singapore Singapore, 117411 tslsbs@nus.edu.sg Garrick Orchard† Temasek Laboratories @ NUS National University of Singapore Singapore, 117411 tslgmo@nus.edu.sg Abstract Conﬁguring ...	2018	538
7,739	A Convex Duality Framework for GANs Farzan Farnia∗ farnia@stanford.edu David Tse∗ dntse@stanford.edu Abstract Generative adversarial network (GAN) is a minimax game between a generator mimicking the true model and a discriminator distinguishing the samples produced by the generator from the real trainin...	2018	539
7,740	Binary Rating Estimation with Graph Side Information Kwangjun Ahn∗ 142nd Military Police Company Korean Augmentation To the United States Army kjahnkorea@kaist.ac.kr Kangwook Lee School of Electrical Engineering KAIST kw1jjang@kaist.ac.kr Hyunseung Cha Kakao Brain tony.cha@kakaobrain.com Chang...	2018	54
7,741	Empirical Risk Minimization Under Fairness Constraints Michele Donini1, Luca Oneto 2, Shai Ben-David3, John Shawe-Taylor4, Massimiliano Pontil1,4 1Istituto Italiano di Tecnologia (Italy) 2University of Genoa (Italy), 3University of Waterloo (Canada), 4University College London (UK) Abstract We address the...	2018	540
7,742	End-to-End Differentiable Physics for Learning and Control Filipe de A. Belbute-Peres School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 filiped@cs.cmu.edu Kevin A. Smith Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge, MA 02139 k2smith@mit.edu ...	2018	541
7,743	A Uniﬁed Feature Disentangler for Multi-Domain Image Translation and Manipulation Alexander H. Liu1 Yen-Cheng Liu2 Yu-Ying Yeh3 Yu-Chiang Frank Wang1,4 1National Taiwan University, Taiwan 2Georgia Institute of Technology, USA 3University of California, San Diego, USA 4MOST Joint Research Center for AI...	2018	542
7,744	Horizon-Independent Minimax Linear Regression Alan Malek Laboratory for Information and Decision Systems Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139-4307, USA amalek@mit.edu Peter L. Bartlett Department of EECS and Statistics University of California Berkeley, CA ...	2018	543
7,745	Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds Raghav Somani∗ Microsoft Research, India t-rasom@microsoft.com Chirag Gupta∗† Machine Learning Department, Carnegie Mellon University chiragg@andrew.cmu.edu Prateek Jain Microsoft Research, India prajain@microsoft.com Prane...	2018	544
7,746	Beauty-in-averageness and its contextual modulations: A Bayesian statistical account Chaitanya K. Ryali Department of Computer Science and Engineering University of California San Diego 9500 Gilman Drive La Jolla, CA 92093 rckrishn@eng.ucsd.edu Angela J. Yu Department of Cognitive Science University o...	2018	545
7,747	The committee machine: Computational to statistical gaps in learning a two-layers neural network Benjamin Aubin⋆†, Antoine Maillard†, Jean Barbier⊗♦† Florent Krzakala†, Nicolas Macris⊗, Lenka Zdeborová⋆ Abstract Heuristic tools from statistical physics have been used in the past to locate the phase transiti...	2018	546
7,748	Adversarial vulnerability for any classiﬁer Alhussein Fawzi DeepMind afawzi@google.com Hamza Fawzi Department of Applied Mathematics & Theoretical Physics University of Cambridge h.fawzi@damtp.cam.ac.uk Omar Fawzi ENS de Lyon∗ omar.fawzi@ens-lyon.fr Abstract Despite achieving impressive perfor...	2018	547
7,749	A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents Yan Zheng1, Zhaopeng Meng1, Jianye Hao1∗, Zongzhang Zhang2, Tianpei Yang1, Changjie Fan3 1College of Intelligence and Computing, Tianjin University, Tianjin, China 2School of Computer Science and Technology, Soochow University, Suzhou...	2018	548
7,750	Adversarial Examples that Fool both Computer Vision and Time-Limited Humans Gamaleldin F. Elsayed⇤ Google Brain gamaleldin.elsayed@gmail.com Shreya Shankar Stanford University Brian Cheung UC Berkeley Nicolas Papernot Pennsylvania State University Alexey Kurakin Google Brain Ian Goodfellow G...	2018	549
7,751	A Bayesian Nonparametric View on Count-Min Sketch Diana Cai Princeton University dcai@cs.princeton.edu Michael Mitzenmacher Harvard University michaelm@eecs.harvard.edu Ryan P. Adams Princeton University rpa@princeton.edu Abstract The count-min sketch is a time- and memory-efﬁcient randomized da...	2018	55
7,752	Trajectory Convolution for Action Recognition Yue Zhao Department of Information Engineering The Chinese University of Hong Kong zy317@ie.cuhk.edu.hk Yuanjun Xiong Amazon Rekognition yuanjx@amazon.com Dahua Lin Department of Information Engineering The Chinese University of Hong Kong dhlin@ie.cuhk...	2018	550
7,753	Adversarial Attacks on Stochastic Bandits Kwang-Sung Jun Boston University kwangsung.jun@gmail.com Lihong Li Google Brain lihong@google.com Yuzhe Ma UW-Madison ma234@wisc.edu Xiaojin Zhu UW-Madison jerryzhu@cs.wisc.edu Abstract We study adversarial attacks that manipulate the reward signals ...	2018	551
7,754	Evolution-Guided Policy Gradient in Reinforcement Learning Shauharda Khadka Kagan Tumer Collaborative Robotics and Intelligent Systems Institute Oregon State University {khadkas,kagan.tumer}@oregonstate.edu Abstract Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range...	2018	552
7,755	Policy Regret in Repeated Games Raman Arora Dept. of Computer Science Johns Hopkins University Baltimore, MD 21204 arora@cs.jhu.edu Michael Dinitz Dept. of Computer Science Johns Hopkins University Baltimore, MD 21204 mdinitz@cs.jhu.edu Teodor V. Marinov Dept. of Computer Science Johns Hopkins...	2018	553
7,756	Causal Inference with Noisy and Missing Covariates via Matrix Factorization Nathan Kallus∗ Xiaojie Mao∗ Cornell University {kallus, xm77, udell}@cornell.edu Madeleine Udell∗ Abstract Valid causal inference in observational studies often requires controlling for confounders. However, in practice measurem...	2018	554
7,757	Bayesian Distributed Stochastic Gradient Descent Michael Teng Department of Engineering Sciences University of Oxford mteng@robots.ox.ac.uk Frank Wood Department of Computer Science University of British Columbia fwood@cs.ubc.ca Abstract We introduce Bayesian distributed stochastic gradient descent ...	2018	555
7,758	Beneﬁts of over-parameterization with EM Ji Xu Columbia University jixu@cs.columbia.edu Daniel Hsu Columbia University djhsu@cs.columbia.edu Arian Maleki Columbia University arian@stat.columbia.edu Abstract Expectation Maximization (EM) is among the most popular algorithms for maximum likelihood e...	2018	556
7,759	How to tell when a clustering is (approximately) correct using convex relaxations Marina Meila⇤ University of Washington Seattle, WA 98195 Abstract We introduce the Sublevel Set (SS) method, a generic method to obtain sufﬁcient guarantees of near-optimality and uniqueness (up to small perturbations) for a...	2018	557
7,760	Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb∗ University of Oxford Adam Goli´nski University of Oxford Robert Zinkov UBC N. Siddharth University of Oxford Tom Rainforth University of Oxford Yee Whye Teh University of Oxford Frank Wood UBC Abstract...	2018	558
7,761	TETRIS: TilE-matching the TRemendous Irregular Sparsity Yu Ji1,2,3 Ling Liang3 Lei Deng3 Youyang Zhang1 Youhui Zhang1,2∗ Yuan Xie3 {jiy15,zhang-yy15}@mails.tsinghua.edu.cn,zyh02@tsinghua.edu.cn 1Department of Computer Science and Technology, Tsinghua University 2Beijing Innovation Center for Future ...	2018	559
7,762	Provable Variational Inference for Constrained Log-Submodular Models Josip Djolonga Dept. of Computer Science ETH Zürich josipd@inf.ethz.ch Stefanie Jegelka CSAIL MIT stefje@csail.mit.edu Andreas Krause Dept. of Computer Science ETH Zürich krausea@ethz.ch Abstract Submodular maximization p...	2018	56
7,763	Stochastic Chebyshev Gradient Descent for Spectral Optimization Insu Han1, Haim Avron2 and Jinwoo Shin1,3 1School of Electrical Engineering, Korea Advanced Institute of Science and Technology 2Department of Applied Mathematics, Tel Aviv University 3AItrics {insu.han,jinwoos}@kaist.ac.kr haimav@post.tau.ac...	2018	560
7,764	Model-based targeted dimensionality reduction for neuronal population data Mikio C. Aoi∗ Princeton Neuroscience Institute Princeton University, Princeton, NJ 08544 maoi@princeton.edu Jonathan W. Pillow † Princeton Neuroscience Institute Princeton University, Princeton, NJ 08544 pillow@princeton.ed...	2018	561
7,765	BourGAN: Generative Networks with Metric Embeddings Chang Xiao Peilin Zhong Changxi Zheng Columbia University {chang, peilin, cxz}@cs.columbia.edu Abstract This paper addresses the mode collapse for generative adversarial networks (GANs). We view modes as a geometric structure of data distribution in ...	2018	562
7,766	Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar Department of Mechanical Engineering Iowa State University Ames, IA 50011 {ajhavens,zhjiang,soumiks}@iastate.edu Abstract The growing prospect of deep reinforcement learning (DRL) being us...	2018	563
7,767	Representer Point Selection for Explaining Deep Neural Networks Chih-Kuan Yeh∗ Joon Sik Kim ∗ Ian E.H. Yen Pradeep Ravikumar Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213 {cjyeh, joonsikk, eyan, pradeepr}@cs.cmu.edu Abstract We propose to explain the predictions of a ...	2018	564
7,768	Watch Your Step: Learning Node Embeddings via Graph Attention Sami Abu-El-Haija∗ Information Sciences Institute, University of Southern California haija@isi.edu Bryan Perozzi Google AI New York City, NY bperozzi@acm.org Rami Al-Rfou Google AI Mountain View, CA rmyeid@google.com Alex Alemi ...	2018	565
7,769	ℓ1-regression with Heavy-tailed Distributions Lijun Zhang, Zhi-Hua Zhou National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China {zhanglj, zhouzh}@lamda.nju.edu.cn Abstract In this paper, we consider the problem of linear regression with heavy-tailed distributions....	2018	566
7,770	Learning Conﬁdence Sets using Support Vector Machines Wenbo Wang Department of Mathematical Sciences Binghamton University Binghamton, NY 13902 wang2@math.binghamton.edu Xingye Qiao* Department of Mathematical Sciences Binghamton University Binghamton, NY 13902 qiao@math.binghamton.edu Abstract ...	2018	567
7,771	Learning to Optimize Tensor Programs Tianqi Chen1 Lianmin Zheng2 Eddie Yan1 Ziheng Jiang1 Thierry Moreau1 Luis Ceze1 Carlos Guestrin1 Arvind Krishnamurthy1 1Paul G. Allen School of Computer Science & Engineering, University of Washington 2Shanghai Jiao Tong University Abstract We introduce a lea...	2018	568
7,772	Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation Jing Li LS2N/IPI Lab University of Nantes jingli.univ@gmail.com Rafal K. Mantiuk Computer Laboratory University of Cambridge rkm38@cam.ac.uk Junle Wang Turing Lab Tencent Games wangjunle@gmail.com Suiyi Ling, P...	2018	569
7,773	Middle-Out Decoding Shikib Mehri Department of Computer Science University of British Columbia amehri@cs.cmu.edu Leonid Sigal Department of Computer Science University of British Columbia lsigal@cs.ubc.ca Abstract Despite being virtually ubiquitous, sequence-to-sequence models are challenged by th...	2018	57
7,774	A no-regret generalization of hierarchical softmax to extreme multi-label classiﬁcation Marek Wydmuch Institute of Computing Science Poznan University of Technology, Poland mwydmuch@cs.put.poznan.pl Kalina Jasinska Institute of Computing Science Poznan University of Technology, Poland kjasinska@cs.put...	2018	570
7,775	The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models Chen Dan1, Liu Leqi1, Bryon Aragam1, Pradeep Ravikumar1, Eric P. Xing1,2 1Carnegie Mellon University 2Petuum Inc. {cdan,leqil,naragam,pradeepr,epxing}@cs.cmu.edu Abstract We study the sample complexity of semi-supervised l...	2018	571
7,776	Estimating Learnability in the Sublinear Data Regime Weihao Kong Stanford University whkong@stanford.edu Gregory Valiant Stanford University gvaliant@cs.stanford.edu Abstract We consider the problem of estimating how well a model class is capable of ﬁtting a distribution of labeled data. We show that ...	2018	572
7,777	Multi-armed Bandits with Compensation Siwei Wang IIIS, Tsinghua University wangsw15@mails.tsinghua.edu.cn Longbo Huang⇤ IIIS, Tsinghua University longbohuang@tsinghua.edu.cn Abstract We propose and study the known-compensation multi-armed bandit (KCMAB) problem, where a system controller offers a set ...	2018	573
7,778	A Neural Compositional Paradigm for Image Captioning Bo Dai 1 Sanja Fidler 2,3,4 Dahua Lin 1 1 CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong 2 University of Toronto 3 Vector Institute 4 NVIDIA bdai@ie.cuhk.edu.hk fidler@cs.toronto.edu dhlin@ie.cuhk.edu.hk Abstract Mainstream ca...	2018	574
7,779	Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities Yunwen Lei and Ke Tang∗ Shenzhen Key Laboratory of Computational Intelligence, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China leiyw@sustc.edu.cn tangk3@sustc.edu.c...	2018	575
7,780	Geometry-Aware Recurrent Neural Networks for Active Visual Recognition Ricson Cheng∗, Ziyan Wang∗, Katerina Fragkiadaki Carnegie Mellon University Pittsburgh, PA 15213 {ricsonc,ziyanw1}@andrew.cmu.edu, katef@cs.cmu.edu Abstract We present recurrent geometry-aware neural networks that integrate visual ...	2018	576
7,781	Reward learning from human preferences and demonstrations in Atari Borja Ibarz DeepMind bibarz@google.com Jan Leike DeepMind leike@google.com Tobias Pohlen DeepMind pohlen@google.com Geoffrey Irving OpenAI irving@openai.com Shane Legg DeepMind legg@google.com Dario Amodei OpenAI da...	2018	577
7,782	Rectangular Bounding Process Xuhui Fan School of Mathematics & Statistics University of New South Wales xuhui.fan@unsw.edu.au Bin Li School of Computer Science Fudan University libin@fudan.edu.cn Scott A. Sisson School of Mathematics & Statistics University of New South Wales scott.sisson@unsw.e...	2018	578
7,783	Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Stanford University yangsong@cs.stanford.edu Rui Shu Stanford University ruishu@cs.stanford.edu Nate Kushman Microsoft Research nkushman@microsoft.com Stefano Ermon Stanford University ermon@cs.stanford.edu Abstr...	2018	579
7,784	Maximum Entropy Fine-Grained Classiﬁcation Abhimanyu Dubey Otkrist Gupta Ramesh Raskar Nikhil Naik Massachusetts Institute of Technology Cambridge, MA, USA {dubeya, otkrist, raskar, naik}@mit.edu Abstract Fine-Grained Visual Classiﬁcation (FGVC) is an important computer vision problem that involves small di...	2018	58
7,785	Causal Discovery from Discrete Data using Hidden Compact Representation Ruichu Cai 1, Jie Qiao1, Kun Zhang2, Zhenjie Zhang3, Zhifeng Hao1, 4 1 School of Computer Science, Guangdong University of Technology, China 2 Department of philosophy, Carnegie Mellon University 3 Singapore R&D, Yitu Technology Ltd. 4 ...	2018	580
7,786	Boosted Sparse and Low-Rank Tensor Regression Lifang He Weill Cornell Medicine lifanghescut@gmail.com Kun Chen∗ University of Connecticut kun.chen@uconn.edu Wanwan Xu University of Connecticut wanwan.xu@uconn.edu Jiayu Zhou Michigan State Universtiy dearjiayu@gmail.com Fei Wang Weill Cornell...	2018	581
7,787	Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search Zhuwen Li Intel Labs Qifeng Chen HKUST Vladlen Koltun Intel Labs Abstract We present a learning-based approach to computing solutions for certain NPhard problems. Our approach combines deep learning techniques with use...	2018	582
7,788	Chaining Mutual Information and Tightening Generalization Bounds Amir R. Asadi1∗ Emmanuel Abbe1,2 Sergio Verdú 1Princeton University 2EPFL Abstract Bounding the generalization error of learning algorithms has a long history, which yet falls short in explaining various generalization successes includin...	2018	583
7,789	Modeling Dynamic Missingness of Implicit Feedback for Recommendation Menghan Wang College of Computer Science, Zhejiang University wangmengh@zju.edu.cn Mingming Gong Department of Biomedical Informatics, University of Pittsburgh mig73@pitt.edu Xiaolin Zheng∗ College of Computer Science, Zhejiang...	2018	584
7,790	Does mitigating ML’s impact disparity require treatment disparity? Zachary C. Lipton1, Alexandra Chouldechova1, Julian McAuley2 1Carnegie Mellon University 2University of California, San Diego zlipton@cmu.edu, achould@cmu.edu, jmcauley@cs.ucsd.edu Abstract Following precedent in employment discrimination ...	2018	585
7,791	The Sparse Manifold Transform Yubei Chen1,2 Dylan M Paiton1,3 Bruno A Olshausen1,3,4 1Redwood Center for Theoretical Neuroscience 2Department of Electrical Engineering and Computer Science 3Vision Science Graduate Group 4Helen Wills Neuroscience Institute & School of Optometry University of California, ...	2018	586
7,792	Probabilistic Model-Agnostic Meta-Learning Chelsea Finn∗, Kelvin Xu∗, Sergey Levine UC Berkeley {cbfinn,kelvinxu,svlevine}@eecs.berkeley.edu Abstract Meta-learning for few-shot learning entails acquiring a prior over previous tasks and experiences, such that new tasks be learned from small amounts of data. ...	2018	587
7,793	Deep Neural Networks with Box Convolutions Egor Burkov 1,2 Victor Lempitsky 1,2 1 Samsung AI Center 2 Skolkovo Institute of Science and Technology (Skoltech) Moscow, Russia Abstract Box ﬁlters computed using integral images have been part of the computer vision toolset for a long time. Here, we show tha...	2018	588
7,794	Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas†⇤, Albert Gu†⇤, Tri Dao†, Atri Rudra‡, Christopher Ré† † Department of Computer Science, Stanford University ‡ Department of Computer Science and Engineering, University at Buffalo, SUNY {thomasat,albertgu,trid}@stanford.edu, atri@buffal...	2018	589
7,795	Deep State Space Models for Unconditional Word Generation Florian Schmidt Department of Computer Science ETH Zürich florian.schmidt@inf.ethz.ch Thomas Hofmann Department of Computer Science ETH Zürich thomas.hofmann@inf.ethz.ch Abstract Autoregressive feedback is considered a necessity for success...	2018	59
7,796	Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan1* Yiwen Guo2,1* Changshui Zhang1 1Institute for Artiﬁcial Intelligence, Tsinghua University (THUAI), State Key Lab of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology (BN...	2018	590
7,797	Precision and Recall for Time Series Nesime Tatbul ∗ Intel Labs and MIT tatbul@csail.mit.edu Tae Jun Lee ∗ Microsoft tae_jun_lee@alumni.brown.edu Stan Zdonik Brown University sbz@cs.brown.edu Mejbah Alam Intel Labs mejbah.alam@intel.com Justin Gottschlich Intel Labs justin.gottschlich@inte...	2018	591
7,798	Neighbourhood Consensus Networks Ignacio Rocco† Mircea Cimpoi‡ Relja Arandjelovi´c§ Akihiko Torii∗ Tomas Pajdla‡ Josef Sivic†,‡ †Inria ‡CIIRC, CTU in Prague §DeepMind ∗Tokyo Institute of Technology Abstract We address the problem of ﬁnding reliable dense correspondences between a pair of image...	2018	592
7,799	PAC-learning in the presence of evasion adversaries Daniel Cullina Princeton University dcullina@princeton.edu Arjun Nitin Bhagoji Princeton University abhagoji@princeton.edu Prateek Mittal Princeton University pmittal@princeton.edu Abstract The existence of evasion attacks during the test phase o...	2018	593

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