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NIPS · 24.8k rows

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7,500	A Block Coordinate Ascent Algorithm for Mean-Variance Optimization Tengyang Xie∗ UMass Amherst txie@cs.umass.edu Bo Liu∗ Auburn University boliu@auburn.edu Yangyang Xu Rensselaer Polytechnic Institute xuy21@rpi.edu Mohammad Ghavamzadeh Facebook AI Research mgh@fb.com Yinlam Chow Google Dee...	2018	323
7,501	MetaGAN: An Adversarial Approach to Few-Shot Learning Ruixiang Zhang∗† MILA, Université de Montréal sodabeta7@gmail.com Tong Che∗ MILA, Université de Montréal tongcheprivate@gmail.com Zoubin Ghahramani University of Cambridge zoubin@cam.ac.uk Yoshua Bengio MILA, Université de Montréal, CIFAR Sen...	2018	324
7,502	Efﬁcient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features Mojmír Mutný Department of Computer Science ETH Zurich, Switzerland mojmir.mutny@inf.ethz.ch Andreas Krause Department of Computer Science ETH Zurich, Switzerland krausea@inf.ethz.ch Abstract We develop...	2018	325
7,503	The Physical Systems Behind Optimization Algorithms Lin F. Yang ∗ Princeton University lin.yang@princeton.edu Raman Arora, Johns Hopkins University arora@cs.jhu.edu Vladimir Braverman Johns Hopkins University vova@cs.jhu.edu Tuo Zhao† Georgia Institute of Technology tourzhao@gatech.edu Abstr...	2018	326
7,504	Unsupervised Learning of Shape and Pose with Differentiable Point Clouds Eldar Insafutdinov∗ Max Planck Institute for Informatics eldar@mpi-inf.mpg.de Alexey Dosovitskiy Intel Labs adosovitskiy@gmail.com Abstract We address the problem of learning accurate 3D shape and camera pose from a collection ...	2018	327
7,505	Unsupervised Attention-guided Image-to-Image Translation Youssef A. Mejjati University of Bath yam28@bath.ac.uk Christian Richardt University of Bath christian@richardt.name James Tompkin Brown University james_tompkin@brown.edu Darren Cosker University of Bath D.P.Cosker@bath.ac.uk Kwang In...	2018	328
7,506	Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra John T. Halloran Department of Public Health Sciences University of California, Davis jthalloran@ucdavis.edu David M. Rocke Department of Public Health Sciences University of California, Davis dmrocke@ucdavis.e...	2018	329
7,507	On gradient regularizers for MMD GANs Michael Arbel∗ Gatsby Computational Neuroscience Unit University College London michael.n.arbel@gmail.com Danica J. Sutherland∗ Gatsby Computational Neuroscience Unit University College London djs@djsutherland.ml Mikołaj Bi´nkowski Department of Mathematics Im...	2018	33
7,508	Beyond Grids: Learning Graph Representations for Visual Recognition Yin Li ∗ Department of Biostatistics & Medical Informatics Department of Computer Sciences University of Wisconsin–Madison yin.li@wisc.edu Abhinav Gupta The Robotics Institute School of Computer Science Carnegie Mellon University ...	2018	330
7,509	Approximate Knowledge Compilation by Online Collapsed Importance Sampling Tal Friedman Computer Science Department University of California Los Angeles, CA 90095 tal@cs.ucla.edu Guy Van den Broeck Computer Science Department University of California Los Angeles, CA 90095 guyvdb@cs.ucla.edu Abstr...	2018	331
7,510	Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation Tianyu He1 † ∗ hetianyu@mail.ustc.edu.cn Xu Tan2 † xuta@microsoft.com Yingce Xia2 yingce.xia@microsoft.com Di He3 di_he@pku.edu.cn Tao Qin2 taoqin@microsoft.com Zhibo Chen1 chenzhibo@ustc.edu.cn Tie-Yan Liu2 ...	2018	332
7,511	A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow DeepMind yinlamchow@google.com Oﬁr Nachum Google Brain ofirnachum@google.com Edgar Duenez-Guzman DeepMind duenez@google.com Mohammad Ghavamzadeh Facebook AI Research mgh@fb.com Abstract In many real-world reinforcement le...	2018	333
7,512	Reversible Recurrent Neural Networks Matthew MacKay, Paul Vicol, Jimmy Ba, Roger Grosse University of Toronto Vector Institute {mmackay, pvicol, jba, rgrosse}@cs.toronto.edu Abstract Recurrent neural networks (RNNs) provide state-of-the-art performance in processing sequential data but are memory intensive ...	2018	334
7,513	Deep Poisson gamma dynamical systems Dandan Guo, Bo Chen∗, Hao Zhang National Laboratory of Radar Signal Processing Collaborative Innovation Center of Information Sensing and Understanding Xidian University, Xi’an, China gdd_xidian@126.com, bchen@mail.xidian.edu.cn, zhanghao_xidian@163.com Mingyuan Zhou...	2018	335
7,514	Regularization Learning Networks: Deep Learning for Tabular Datasets Ira Shavitt Weizmann Institute of Science irashavitt@gmail.com Eran Segal Weizmann Institute of Science eran.segal@weizmann.ac.il Abstract Despite their impressive performance, Deep Neural Networks (DNNs) typically underperform Gra...	2018	336
7,515	Online Learning with an Unknown Fairness Metric Stephen Gillen University of Pennsylvania stepe@math.upenn.edu Christopher Jung Michael Kearns Aaron Roth University of Pennsylvania {chrjung, mkearns, aaroth}@cis.upenn.edu Abstract We consider the problem of online learning in the linear contextual b...	2018	337
7,516	Completing State Representations using Spectral Learning Nan Jiang UIUC Urbana, IL nanjiang@illinois.edu Alex Kulesza Google Research New York, NY kulesza@google.com Satinder Singh University of Michigan Ann Arbor, MI baveja@umich.edu Abstract A central problem in dynamical system modeling...	2018	338
7,517	From Stochastic Planning to Marginal MAP Hao Cui Department of Computer Science Tufts University Medford, MA 02155, USA hao.cui@tufts.edu Radu Marinescu IBM Research Dublin, Ireland radu.marinescu@ie.ibm.com Roni Khardon Department of Computer Science Indiana University Bloomington, IN, USA ...	2018	339
7,518	Differentially Private Bayesian Inference for Exponential Families Garrett Bernstein College of Information and Computer Sciences University of Massachusetts Amherst Amherst, MA 01002 gbernstein@cs.umass.edu Daniel Sheldon College of Information and Computer Sciences University of Massachusetts Amhers...	2018	34
7,519	Generalizing graph matching beyond quadratic assignment model Tianshu Yu Arizona State University tianshuy@asu.edu Junchi Yan Shanghai Jiao Tong University yanjunchi@sjtu.edu.cn Yilin Wang Arizona State University yilwang@adobe.com Wei Liu Tecent AI Lab wl2223@columbia.edu Baoxin Li Arizon...	2018	340
7,520	On Learning Intrinsic Rewards for Policy Gradient Methods Zeyu Zheng Junhyuk Oh Computer Science & Engineering University of Michigan {zeyu,junhyuk,baveja}@umich.edu Satinder Singh Abstract In many sequential decision making tasks, it is challenging to design reward functions that help an RL agent e...	2018	341
7,521	Regularizing by the Variance of the Activations’ Sample-Variances Etai Littwin1 Lior Wolf 12 1Tel Aviv University 2Facebook AI Research Abstract Normalization techniques play an important role in supporting efﬁcient and often more effective training of deep neural networks. While conventional methods ex...	2018	342
7,522	Single-Agent Policy Tree Search With Guarantees Laurent Orseau DeepMind, London, UK lorseau@google.com Levi H. S. Lelis∗ Universidade Federal de Viçosa, Brazil levi.lelis@ufv.br Tor Lattimore DeepMind, London, UK lattimore@google.com Théophane Weber DeepMind, London, UK theophane@google.com Ab...	2018	343
7,523	Bias and Generalization in Deep Generative Models: An Empirical Study Shengjia Zhao†, Hongyu Ren†, Arianna Yuan, Jiaming Song, Noah Goodman, Stefano Ermon Stanford University {sjzhao,hyren,xfyuan,tsong,ngoodman,ermon}@stanford.edu Abstract In high dimensional settings, density estimation algorithms rely cru...	2018	344
7,524	Joint Autoregressive and Hierarchical Priors for Learned Image Compression David Minnen, Johannes Ballé, George Toderici Google Research {dminnen, jballe, gtoderici}@google.com Abstract Recent models for learned image compression are based on autoencoders that learn approximately invertible mappings from ...	2018	345
7,525	Link Prediction Based on Graph Neural Networks Muhan Zhang Department of CSE Washington University in St. Louis muhan@wustl.edu Yixin Chen Department of CSE Washington University in St. Louis chen@cse.wustl.edu Abstract Link prediction is a key problem for network-structured data. Link prediction ...	2018	346
7,526	A ﬂexible model for training action localization with varying levels of supervision Guilhem Chéron∗12 Jean-Baptiste Alayrac∗1 Ivan Laptev1 Cordelia Schmid2 Abstract Spatio-temporal action detection in videos is typically addressed in a fullysupervised setup with manual annotation of training videos requir...	2018	347
7,527	A probabilistic population code based on neural samples Sabyasachi Shivkumar∗, Richard D. Lange∗, Ankani Chattoraj∗, Ralf M. Haefner Brain and Cognitive Sciences, University of Rochester {sshivkum, rlange, achattor, rhaefne2}@ur.rochester.edu Abstract Sensory processing is often characterized as implementin...	2018	348
7,528	Generative Probabilistic Novelty Detection with Adversarial Autoencoders Stanislav Pidhorskyi Ranya Almohsen Donald A. Adjeroh Gianfranco Doretto Lane Department of Computer Science and Electrical Engineering West Virginia University, Morgantown, WV 26506 {stpidhorskyi, ralmohse, daadjeroh, gidoretto}@m...	2018	349
7,529	Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity Conghui Tan∗ The Chinese University of Hong Kong chtan@se.cuhk.edu.hk Tong Zhang Tencent AI Lab tongzhang@tongzhang-ml.org Shiqian Ma University of California, Davis sqma@math.ucdavis.edu Ji Liu Tenc...	2018	35
7,530	Monte-Carlo Tree Search for Constrained POMDPs Jongmin Lee1, Geon-Hyeong Kim1, Pascal Poupart2, Kee-Eung Kim1,3 1 School of Computing, KAIST, Republic of Korea 2 University of Waterloo, Waterloo AI Institute and Vector Institute 3 PROWLER.io {jmlee,ghkim}@ai.kaist.ac.kr, ppoupart@uwaterloo.ca, kekim@cs.kaist....	2018	350
7,531	Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data Yuanzhi Li Computer Science Department Stanford University Stanford, CA 94305 yuanzhil@stanford.edu Yingyu Liang Department of Computer Sciences University of Wisconsin-Madison Madison, WI 53706 yliang@cs...	2018	351
7,532	Informative Features for Model Comparison Wittawat Jitkrittum Max Planck Institute for Intelligent Systems wittawat@tuebingen.mpg.de Heishiro Kanagawa Gatsby Unit, UCL heishirok@gatsby.ucl.ac.uk Patsorn Sangkloy Georgia Institute of Technology patsorn_sangkloy@gatech.edu James Hays Georgia Institu...	2018	352
7,533	Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang1∗, Mingkui Tan1∗†, Bohan Zhuang2∗, Jing Liu1∗, Yong Guo1, Qingyao Wu1, Junzhou Huang3,4, Jinhui Zhu1† 1South China University of Technology, 2The University of Adelaide, 3University of Texas at Arlington, 4Tencent AI Lab {z.zhuan...	2018	353
7,534	Reinforcement Learning of Theorem Proving Cezary Kaliszyk∗ University of Innsbruck Josef Urban∗ Czech Technical University in Prague Henryk Michalewski University of Warsaw, Institute of Mathematics of the Polish Academy of Sciences, deepsense.ai Mirek Olˇs´ak Charles University Abstract We in...	2018	354
7,535	On Fast Leverage Score Sampling and Optimal Learning Alessandro Rudi⇤ INRIA – Sierra team, ENS, Paris Daniele Calandriello⇤ LCSL – IIT & MIT, Genoa, Italy Luigi Carratino University of Genoa, Genoa, Italy Lorenzo Rosasco University of Genoa, LCSL – IIT & MIT Abstract Leverage score samplin...	2018	355
7,536	Robustness of conditional GANs to noisy labels Kiran Koshy Thekumparampil†, Ashish Khetan†, Zinan Lin‡, Sewoong Oh† †University of Illinois at Urbana-Champaign, ‡Carnegie Mellon University Abstract We study the problem of learning conditional generators from noisy labeled samples, where the labels are corrupted...	2018	356
7,537	Removing Hidden Confounding by Experimental Grounding Nathan Kallus Cornell University and Cornell Tech New York, NY kallus@cornell.edu Aahlad Manas Puli New York University New York, NY apm470@nyu.edu Uri Shalit Technion Haifa, Israel urishalit@technion.ac.il Abstract Observational data i...	2018	357
7,538	Legendre Decomposition for Tensors Mahito Sugiyama National Institute of Informatics JST, PRESTO mahito@nii.ac.jp Hiroyuki Nakahara RIKEN Center for Brain Science hiro@brain.riken.jp Koji Tsuda The University of Tokyo NIMS; RIKEN AIP tsuda@k.u-tokyo.ac.jp Abstract We present a novel nonnegativ...	2018	358
7,539	Bilevel Learning of the Group Lasso Structure Jordan Frecon∗,1 Saverio Salzo∗,1 Massimiliano Pontil1,2 1 Computational Statistics and Machine Learning, Istituto Italiano di Tecnologia (Italy) 2 Department of Computer Science, University College London (UK) Abstract Regression with group-sparsity penalty p...	2018	359
7,540	Answerer in Questioner’s Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog Sang-Woo Lee1∗, Yu-Jung Heo2, and Byoung-Tak Zhang2,3 Clova AI Research, Naver Corp1 Seoul National University2 Surromind Robotics3 Abstract Goal-oriented dialog has been given attention due to its numerous appl...	2018	36
7,541	SING: Symbol-to-Instrument Neural Generator Alexandre Défossez Facebook AI Research INRIA / ENS PSL Research University Paris, France defossez@fb.com Neil Zeghidour Facebook AI Research LSCP / ENS / EHESS / CNRS INRIA / PSL Research University Paris, France neilz@fb.com Nicolas Usunier Faceb...	2018	360
7,542	Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks Bryan Lim Department of Engineering Science University of Oxford bryan.lim@eng.ox.ac.uk Ahmed Alaa Electrical Engineering Department University of California, Los Angeles ahmedmalaa@ucla.edu Mihaela van der Schaar...	2018	361
7,543	Optimal Subsampling with Inﬂuence Functions Daniel Ting Tableau Software Seattle, WA, USA dting@tableau.com Eric Brochu Tableau Software Vancouver, BC, Canada ebrochu@tableau.com Abstract Subsampling is a common and often effective method to deal with the computational challenges of large datasets. ...	2018	362
7,544	LinkNet: Relational Embedding for Scene Graph Sanghyun Woo∗ EE, KAIST Daejeon, Korea shwoo93@kaist.ac.kr Dahun Kim EE, KAIST Daejeon, Korea mcahny@kaist.ac.kr Donghyeon Cho EE, KAIST Daejeon, Korea cdh12242@gmail.com In So Kweon EE, KAIST Daejeon, Korea iskweon@kaist.ac.kr Abstract ...	2018	363
7,545	Meta-Learning MCMC Proposals Tongzhou Wang∗ Facebook AI Research tongzhou.wang.1994@gmail.com Yi Wu University of California, Berkeley jxwuyi@gmail.com David A. Moore† Google davmre@gmail.com Stuart J. Russell University of California, Berkeley russell@cs.berkeley.edu Abstract Effective impl...	2018	364
7,546	1 2 3 4 5 6 7 8 9 10 0.78 0.8 0.82 0.84 0.86 0.88 0.9 0.92 0.94 0.96 0.98 0.05 0.1 0.12 0.13 0.15	2018	365
7,547	Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC Tolga Birdal1,2 Umut ¸Sim¸sekli3 M. Onur Eken1,2 Slobodan Ilic1,2 1 CAMP Chair, Technische Universität München, 85748, München, Germany 2 Siemens AG, 81739, München, Germany 3 LTCI, Télécom ParisTech, Université Paris-...	2018	366
7,548	Quadratic Decomposable Submodular Function Minimization Pan Li UIUC panli2@illinois.edu Niao He UIUC niaohe@illinois.edu Olgica Milenkovic UIUC milenkov@illinois.edu Abstract We introduce a new convex optimization problem, termed quadratic decomposable submodular function minimization. The pro...	2018	367
7,549	An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression Sheng Chen ∗ The Voleon Group chen2832@umn.edu Arindam Banerjee Dept. of Computer Science & Engineering University of Minnesota, Twin Cities banerjee@cs.umn.edu Abstract Multi-response linear models aggregate a...	2018	368
7,550	Uniform Convergence of Gradients for Non-Convex Learning and Optimization Dylan J. Foster Cornell University djfoster@cornell.edu Ayush Sekhari Cornell University sekhari@cs.cornell.edu Karthik Sridharan Cornell University sridharan@cs.cornell.edu Abstract We investigate 1) the rate at which reﬁ...	2018	369
7,551	Learning Plannable Representations with Causal InfoGAN Thanard Kurutach∗1 Aviv Tamar∗1 Ge Yang2 Stuart Russell1 Pieter Abbeel1 Abstract In recent years, deep generative models have been shown to ‘imagine’ convincing high-dimensional observations such as images, audio, and even video, learning direct...	2018	37
7,552	Posterior Concentration for Sparse Deep Learning Nicholas G. Polson and Veronika Roˇcková Booth School of Business University of Chicago Chicago, IL 60637 Abstract We introduce Spike-and-Slab Deep Learning (SS-DL), a fully Bayesian alternative to dropout for improving generalizability of deep ReLU network...	2018	370
7,553	Sequence-to-Segments Networks for Segment Detection Zijun Wei1 Boyu Wang1 Minh Hoai1 Jianming Zhang2 Zhe Lin2 Xiaohui Shen3 Radomír Mˇech2 Dimitris Samaras1 1Stony Brook University, 2Adobe Research, 3ByteDance AI Lab Abstract Detecting segments of interest from an input sequence is a challen...	2018	371
7,554	Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization Hoi-To Wai The Chinese University of Hong Kong Shatin, Hong Kong htwai@se.cuhk.edu.hk Zhuoran Yang Princeton University Princeton, NJ, USA zy6@princeton.edu Zhaoran Wang Northwestern University Evanston, IL, USA z...	2018	372
7,555	Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot ´Ecole Polytechnique F´ed´erale de Lausanne arthur.jacot@netopera.net Franck Gabriel Imperial College London and ´Ecole Polytechnique F´ed´erale de Lausanne franckrgabriel@gmail.com Cl´ement Hongler ´Ecole Polytechni...	2018	373
7,556	Randomized Prior Functions for Deep Reinforcement Learning Ian Osband DeepMind iosband@google.com John Aslanides DeepMind jaslanides@google.com Albin Cassirer DeepMind cassirer@google.com Abstract Dealing with uncertainty is essential for eﬃcient reinforcement learning. There is a growing lite...	2018	374
7,557	On the Convergence and Robustness of Training GANs with Regularized Optimal Transport Maziar Sanjabi University of Southern California sanjabi@usc.edu Jimmy Ba University of Toronto jimmy@cs.toronto.edu Meisam Razaviyayn University of Southern California razaviya@usc.edu Jason D. Lee University ...	2018	375
7,558	Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss Stephen Mussmann Department of Computer Science Stanford University Stanford, CA mussmann@stanford.edu Percy Liang Department of Computer Science Stanford University Stanford, CA pliang@cs.stanford.edu Abstract ...	2018	376
7,559	Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making Nishant Desai Center for Human-Compatible AI University of California, Berkeley nishantdesai@berkeley.edu Andrew Critch Department of EECS University of California, Berkeley critch@berkeley.edu Stuart Russell Computer ...	2018	377
7,560	Distributed Stochastic Optimization via Adaptive SGD Ashok Cutkosky Stanford University, USA⇤ cutkosky@google.com Róbert Busa-Fekete Yahoo! Research, New York, USA busafekete@oath.com Abstract Stochastic convex optimization algorithms are the most popular way to train machine learning models on large-...	2018	378
7,561	Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons Nima Anari Computer Science Stanford University anari@cs.stanford.edu Constantinos Daskalakis EECS MIT costis@csail.mit.edu Wolfgang Maass Theoretical Computer Science Graz University of Technology maass@igi.tugraz.at...	2018	379
7,562	Interactive Structure Learning with Structural Query-by-Committee Christopher Tosh Columbia University c.tosh@columbia.edu Sanjoy Dasgupta UC San Diego dasgupta@cs.ucsd.edu Abstract In this work, we introduce interactive structure learning, a framework that uniﬁes many different interactive learning...	2018	38
7,563	Deep State Space Models for Time Series Forecasting Syama Sundar Rangapuram Matthias Seeger Jan Gasthaus Lorenzo Stella Yuyang Wang Tim Januschowski Amazon Research {rangapur, matthis, gasthaus, stellalo, yuyawang, tjnsch}@amazon.com Abstract We present a novel approach to probabilistic time series ...	2018	380
7,564	Learning Temporal Point Processes via Reinforcement Learning Shuang Li∗1, Shuai Xiao 2, Shixiang Zhu1, Nan Du3, Yao Xie1, and Le Song1,2 1Georgia Institute of Technology 2Ant Financial 3Google Brain Abstract Social goods, such as healthcare, smart city, and information networks, often produce ordered event ...	2018	381
7,565	GLoMo: Unsupervised Learning of Transferable Relational Graphs Zhilin Yang∗1, Jake (Junbo) Zhao∗23, Bhuwan Dhingra1 Kaiming He3, William W. Cohen1, Ruslan Salakhutdinov1, Yann LeCun23 ∗Equal contribution 1Carnegie Mellon University, 2New York University, 3Facebook AI Research {zhiliny,bdhingra,wcohen,rsalak...	2018	382
7,566	Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi∗ Harvard University Jiajun Wu∗ MIT CSAIL Chuang Gan MIT-IBM Watson AI Lab Antonio Torralba MIT CSAIL Pushmeet Kohli DeepMind Joshua B. Tenenbaum MIT CSAIL Abstract We marry two powerful ideas: deep...	2018	383
7,567	Deep Anomaly Detection Using Geometric Transformations Izhak Golan Department of Computer Science Technion – Israel Institute of Technology Haifa, Israel izikgo@cs.technion.ac.il Ran El-Yaniv Department of Computer Science Technion – Israel Institute of Technology Haifa, Israel rani@cs.technion.ac...	2018	384
7,568	On Oracle-Efﬁcient PAC RL with Rich Observations Christoph Dann Carnegie Mellon University Pittsburgh, Pennsylvania cdann@cdann.net Nan Jiang∗ UIUC Urbana, Illinois nanjiang@illinois.edu Akshay Krishnamurthy Microsoft Research New York, New York akshay@cs.umass.edu Alekh Agarwal Microsoft Re...	2018	385
7,569	Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution Zhisheng Zhong1 Tiancheng Shen1,2 Yibo Yang1,2 Chao Zhang1,∗ Zhouchen Lin1,3 1Key Laboratory of Machine Perception (MOE), School of EECS, Peking University 2Academy for Advanced Interdisciplinary Studies, Peking Universi...	2018	386
7,570	Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation Liwei Wang1,2 Lunjia Hu3 Jiayuan Gu1 Yue Wu1 Zhiqiang Hu1 Kun He4 John Hopcroft5 1Key Laboratory of Machine Perception, MOE, School of EECS, Peking University 2Center for Data ...	2018	387
7,571	Non-delusional Q-learning and Value Iteration Tyler Lu Google AI tylerlu@google.com Dale Schuurmans Google AI schuurmans@google.com Craig Boutilier Google AI cboutilier@google.com Abstract We identify a fundamental source of error in Q-learning and other forms of dynamic programming with function ...	2018	388
7,572	An intriguing failing of convolutional neural networks and the CoordConv solution Rosanne Liu1 Joel Lehman1 Piero Molino1 Felipe Petroski Such1 Eric Frank1 Alex Sergeev2 Jason Yosinski1 1Uber AI Labs, San Francisco, CA, USA 2Uber Technologies, Seattle, WA, USA {rosanne,joel.lehman,piero,felipe.suc...	2018	389
7,573	The streaming rollout of deep networks - towards fully model-parallel execution Volker Fischer Bosch Center for Artiﬁcial Intelligence Renningen, Germany volker.fischer@de.bosch.com Jan Köhler Bosch Center for Artiﬁcial Intelligence Renningen, Germany jan.koehler@de.bosch.com Thomas Pfeil Bosch Ce...	2018	39
7,574	Adversarially Robust Optimization with Gaussian Processes Ilija Bogunovic LIONS, EPFL ilija.bogunovic@epfl.ch Jonathan Scarlett National University of Singapore scarlett@comp.nus.edu.sg Stefanie Jegelka MIT CSAIL stefje@mit.edu Volkan Cevher LIONS, EPFL volkan.cevher@epfl.ch Abstract In th...	2018	390
7,575	Learning Hierarchical Semantic Image Manipulation through Structured Representations Seunghoon Hong † Xinchen Yan † Thomas Huang † Honglak Lee ‡,† †University of Michigan ‡Google Brain †{hongseu,xcyan,thomaseh,honglak}@umich.edu ‡honglak@google.com Abstract Understanding, reasoning, and ma...	2018	391
7,576	Neural Proximal Gradient Descent for Compressive Imaging Morteza Mardani1, Qingyun Sun4, Shreyas Vasawanala2, Vardan Papyan3, Hatef Monajemi3, John Pauly1, and David Donoho3 Depts. of 1Electrical Eng., 2Radiology, 3Statistics, and 4Mathematics; Stanford University morteza,qysun,vasanawala,papyan,monajemi,paul...	2018	392
7,577	Power-law efﬁcient neural codes provide general link between perceptual bias and discriminability Michael J. Morais & Jonathan W. Pillow Princeton Neuroscience Institute & Department of Psychology Princeton University mjmorais, pillow@princeton.edu Abstract Recent work in theoretical neuroscience has show...	2018	393
7,578	Stochastic Nonparametric Event-Tensor Decomposition Shandian Zhe, Yishuai Du School of Computing, University of Utah zhe@cs.utah.edu, yishuai.du@utah.edu Abstract Tensor decompositions are fundamental tools for multiway data analysis. Existing approaches, however, ignore the valuable temporal information ...	2018	394
7,579	A Smoother Way to Train Structured Prediction Models Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaid Harchaoui Paul G. Allen School of Computer Science & Engineering and Department of Statistics University of Washington name@uw.edu Abstract We present a framework to train a structured prediction mo...	2018	395
7,580	Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui, Wei Zhang, Zoltán Tüske and Michael Picheny IBM Research AI IBM T. J. Watson Research Center Yorktown Heights, NY 10598, USA {cuix, weiz, picheny}@us.ibm.com, {Zoltan.Tuske}@ibm.com Abstract We propose a popu...	2018	396
7,581	On Coresets for Logistic Regression Alexander Munteanu Department of Computer Science TU Dortmund University 44227 Dortmund, Germany alexander.munteanu@tu-dortmund.de Chris Schwiegelshohn Department of Computer Science Sapienza University of Rome 00185 Rome, Italy schwiegelshohn@diag.uniroma1.it C...	2018	397
7,582	Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures Sergey Bartunov DeepMind Adam Santoro DeepMind Blake A. Richards University of Toronto Luke Marris DeepMind Geoffrey E. Hinton Google Brain Timothy P. Lillicrap DeepMind, University College London ...	2018	398
7,583	3D-Aware Scene Manipulation via Inverse Graphics Shunyu Yao∗ IIIS, Tsinghua University Tzu-Ming Harry Hsu∗ MIT CSAIL Jun-Yan Zhu MIT CSAIL Jiajun Wu MIT CSAIL Antonio Torralba MIT CSAIL William T. Freeman MIT CSAIL, Google Research Joshua B. Tenenbaum MIT CSAIL Abstract We aim to obtain ...	2018	399
7,584	Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks Hyeonseob Nam Lunit Inc. Seoul, South Korea hsnam@lunit.io Hyo-Eun Kim Lunit Inc. Seoul, South Korea hekim@lunit.io Abstract Real-world image recognition is often challenged by the variability of visual styles including ...	2018	4
7,585	Contextual Stochastic Block Models Yash Deshpande∗ Andrea Montanari † Elchanan Mossel‡ Subhabrata Sen§ Abstract We provide the ﬁrst information theoretic tight analysis for inference of latent community structure given a sparse graph along with high dimensional node covariates, correlated with the same ...	2018	40
7,586	Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning Tom Zahavy∗1,2, Matan Haroush∗1, Nadav Merlis∗1, Daniel J. Mankowitz3, Shie Mannor1 1The Technion - Israel Institute of Technology, 2 Google research, 3 Deepmind * Equal contribution Corresponding to {tomzahavy,matan.h,merlis}@campus...	2018	400
7,587	Connecting Optimization and Regularization Paths Arun Sai Suggala Carnegie Mellon University Pittsburgh, PA 15213 asuggala@cs.cmu.edu Adarsh Prasad Carnegie Mellon University Pittsburgh, PA 15213 adarshp@cs.cmu.edu Pradeep Ravikumar Carnegie Mellon University Pittsburgh, PA 15213 pradeepr@cs.cmu...	2018	401
7,588	A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice Hendrik Fichtenberger∗ TU Dortmund Dortmund, Germany hendrik.fichtenberger@tu-dortmund.de Dennis Rohde† TU Dortmund Dortmund, Germany dennis.rohde@cs.tu-dortmund.de Abstract In the k-nearest neighborhood model (k-NN), we are gi...	2018	402
7,589	MetaReg: Towards Domain Generalization using Meta-Regularization Yogesh Balaji Department of Computer Science University of Maryland College Park, MD yogesh@cs.umd.edu Swami Sankaranarayanan∗ Butterﬂy Network Inc. NewYork, NY swamiviv@butterflynetinc.com Rama Chellappa Department of Electrical a...	2018	403
7,590	Mirrored Langevin Dynamics Ya-Ping Hsieh Ali Kavis Paul Rolland Volkan Cevher Laboratory for Information and Inference Systems (LIONS), EPFL, Lausanne, Switzerland {ya-ping.hsieh, ali.kavis, paul.rolland, volkan.cevher}@epfl.ch Abstract We consider the problem of sampling from constrained distribution...	2018	404
7,591	Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals Tom Dupré La Tour∗1, Thomas Moreau∗2, Mainak Jas1, Alexandre Gramfort2 1: LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, France 2: INRIA, Université Paris-Saclay, Saclay, France *: Both authors contributed equally. Abstract...	2018	405
7,592	Complex Gated Recurrent Neural Networks Moritz Wolter Institute for Computer Science University of Bonn wolter@cs.uni-bonn.de Angela Yao School of Computing National University of Singapore yaoa@comp.nus.edu.sg Abstract Complex numbers have long been favoured for digital signal processing, yet com...	2018	406
7,593	Active Matting Xin Yang∗ Dalian University of Technology City University of Hong Kong xinyang@dlut.edu.cn Ke Xu∗ Dalian University of Technology City University of Hong Kong kkangwing@mail.dlut.edu.cn Shaozhe Chen Dalian University of Technology csz@mail.dlut.edu.cn Shengfeng He† South China U...	2018	407
7,594	Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation Matthew O’Kelly∗ University of Pennsylvania mokelly@seas.upenn.edu Aman Sinha∗ Stanford University amans@stanford.edu Hongseok Namkoong∗ Stanford University hnamk@stanford.edu John Duchi Stanford University jduchi@stanfor...	2018	408
7,595	Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang†,?,1 Shawn Tan†,2 Alexandre Lacoste?,3 Aaron Courville†k,4 †MILA, University of Montreal ?Element AI kCIFAR Fellow 1chin-wei.huang@umontreal.ca, 2jing.shan.shawn.tan@umontreal.ca 3allac@elementai.com...	2018	409
7,596	Unsupervised Learning of Artistic Styles with Archetypal Style Analysis Daan Wynen, Cordelia Schmid, Julien Mairal Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP∗, LJK, 38000 Grenoble, France firstname.lastname@inria.fr Abstract In this paper, we introduce an unsupervised learning approach to automatically...	2018	41
7,597	Learning Loop Invariants for Program Veriﬁcation Xujie Si∗ University of Pennsylvania xsi@cis.upenn.edu Hanjun Dai ∗ Georgia Tech hanjundai@gatech.edu Mukund Raghothaman University of Pennsylvania rmukund@cis.upenn.edu Mayur Naik University of Pennsylvania mhnaik@cis.upenn.edu Le Song Georgi...	2018	410
7,598	Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization Mingrui Liu∗†, Xiaoxuan Zhang∗†, Xun Zhou‡, Tianbao Yang† †Department of Computer Science, The University of Iowa, Iowa City, IA 52242, USA ‡Department of Management Sciences, The University of Iowa, Iowa City, IA 52242, USA min...	2018	411
7,599	Learning Others’ Intentional Models in Multi-Agent Settings Using Interactive POMDPs Yanlin Han Piotr Gmytrasiewicz Department of Computer Science University of Illinois at Chicago Chicago, IL 60607 {yhan37,piotr}@uic.edu Abstract Interactive partially observable Markov decision processes (I-POMDPs) p...	2018	412

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