Split (1)

NIPS · 24.8k rows

index int64 0 20.3k	text stringlengths 0 1.3M	year stringdate 1987-01-01 00:00:00 2024-01-01 00:00:00	No stringlengths 1 4
7,800	Optimal Algorithms for Non-Smooth Distributed Optimization in Networks Kevin Scaman1 Francis Bach2 Sébastien Bubeck3 Yin Tat Lee3,4 Laurent Massoulié2,5 1 Huawei Noah’s Ark Lab, 2 INRIA, Ecole Normale Supérieure, PSL Research University, 3 Microsoft Research, 4 University of Washington, 5 MSR-INRIA Joint Centre...	2018	594
7,801	Large-Scale Stochastic Sampling from the Probability Simplex Jack Baker STOR-i CDT, Mathematics and Statistics Lancaster University j.baker1@lancaster.ac.uk Paul Fearnhead Mathematics and Statistics Lancaster University p.fearnhead@lancaster.ac.uk Emily B. Fox Computer Science & Engineering and St...	2018	595
7,802	Transfer of Value Functions via Variational Methods Andrea Tirinzoni∗ Politecnico di Milano andrea.tirinzoni@polimi.it Rafael Rodriguez Sanchez∗ Politecnico di Milano rafaelalberto.rodriguez@polimi.it Marcello Restelli Politecnico di Milano marcello.restelli@polimi.it Abstract We consider the prob...	2018	596
7,803	Adaptive Methods for Nonconvex Optimization Manzil Zaheer ∗ Google Research manzilzaheer@google.com Sashank J. Reddi ∗ Google Research sashank@google.com Devendra Sachan Carnegie Mellon University dsachan@andrew.cmu.edu Satyen Kale Google Research satyenkale@google.com Sanjiv Kumar Google Re...	2018	597
7,804	How Does Batch Normalization Help Optimization? Shibani Santurkar∗ MIT shibani@mit.edu Dimitris Tsipras∗ MIT tsipras@mit.edu Andrew Ilyas∗ MIT ailyas@mit.edu Aleksander M ˛adry MIT madry@mit.edu Abstract Batch Normalization (BatchNorm) is a widely adopted technique that enables faster and ...	2018	598
7,805	Compact Generalized Non-local Network Kaiyu Yue†,§ Ming Sun† Yuchen Yuan† Feng Zhou‡ Errui Ding† Fuxin Xu§ †Baidu VIS ‡Baidu Research §Central South University {yuekaiyu, sunming05, yuanyuchen02, zhoufeng09, dingerrui}@baidu.com fxxu@csu.edu.cn Abstract The non-local module [27] is designed fo...	2018	599
7,806	KDGAN: Knowledge Distillation with Generative Adversarial Networks Xiaojie Wang University of Melbourne xiaojiew94@gmail.com Rui Zhang∗ University of Melbourne rui.zhang@unimelb.edu.au Yu Sun Twitter Inc. ysun@twitter.com Jianzhong Qi University of Melbourne jianzhong.qi@unimelb.edu.au Abstr...	2018	6
7,807	Total stochastic gradient algorithms and applications in reinforcement learning Paavo Parmas Neural Computation Unit Okinawa Institute of Science and Technology Graduate University Okinawa, Japan paavo.parmas@oist.jp Abstract Backpropagation and the chain rule of derivatives have been prominent; however...	2018	60
7,808	Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning Yunlong Yu, Zhong Ji∗ School of Electrical and Information Engineering Tianjin University {yuyunlong,jizhong}@tju.edu.cn Yanwei Fu School of Data Science Fudan University AITRICS yanweifu@fudan.edu.cn Jichang Guo, Yanwei ...	2018	600
7,809	MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models Boyuan Pan†, Yazheng Yang‡, Hao Li†, Zhou Zhao‡, Yueting Zhuang‡, Deng Cai†♯∗, Xiaofei He⋆† †State Key Lab of CAD&CG, Zhejiang University ‡College of Computer Science, Zhejiang University ♯Alibaba-Zhejiang University Join...	2018	601
7,810	Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games Yun Kuen Cheung ∗ Singapore University of Technology and Design Singapore yunkuen_cheung@sutd.edu.sg Abstract Since Multiplicative Weights (MW) updates are the discrete analogue of the continuous Replicator Dynamics (RD...	2018	602
7,811	Efﬁcient Online Portfolio with Logarithmic Regret Haipeng Luo Department of Computer Science University of Southern California haipengl@usc.edu Chen-Yu Wei Department of Computer Science University of Southern California chenyu.wei@usc.edu Kai Zheng Key Laboratory of Machine Perception, MOE, School ...	2018	603
7,812	Banach Wasserstein GAN Jonas Adler Department of Mathematics KTH - Royal institute of Technology Research and Physics Elekta jonasadl@kth.se Sebastian Lunz Department of Applied Mathematics and Theoretical Physics University of Cambridge lunz@math.cam.ac.uk Abstract Wasserstein Generative Adve...	2018	604
7,813	SplineNets: Continuous Neural Decision Graphs Cem Keskin cemkeskin@google.com Shahram Izadi shahrami@google.com Abstract We present SplineNets, a practical and novel approach for using conditioning in convolutional neural networks (CNNs). SplineNets are continuous generalizations of neural decision gr...	2018	605
7,814	Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization Yuanxiang Gao1,2 Li Chen 3 Baochun Li 1 1 Department of Electrical and Computer Engineering, University of Toronto 2 School of Information and Communication Engineering, University of Electronic Science and Technology ...	2018	606
7,815	Implicit Reparameterization Gradients Michael Figurnov Shakir Mohamed Andriy Mnih DeepMind, London, UK {mfigurnov,shakir,amnih}@google.com Abstract By providing a simple and efﬁcient way of computing low-variance gradients of continuous random variables, the reparameterization trick has become the techn...	2018	607
7,816	Visual Object Networks: Image Generation with Disentangled 3D Representation Jun-Yan Zhu MIT CSAIL Zhoutong Zhang MIT CSAIL Chengkai Zhang MIT CSAIL Jiajun Wu MIT CSAIL Antonio Torralba MIT CSAIL Joshua B. Tenenbaum MIT CSAIL William T. Freeman MIT CSAIL, Google Abstract Recent progres...	2018	608
7,817	Neural Architecture Optimization 1Renqian Luo†∗, 2Fei Tian†, 2Tao Qin, 1Enhong Chen, 2Tie-Yan Liu 1University of Science and Technology of China, Hefei, China 2Microsoft Research, Beijing, China 1lrq@mail.ustc.edu.cn, cheneh@ustc.edu.cn 2{fetia, taoqin, tie-yan.liu}@microsoft.com Abstract Automatic neural...	2018	609
7,818	Neural Arithmetic Logic Units Andrew Trask†‡ Felix Hill† Scott Reed† Jack Rae†♭ Chris Dyer† Phil Blunsom†‡ †DeepMind ‡University of Oxford ♭University College London {atrask,felixhill,reedscot,jwrae,cdyer,pblunsom}@google.com Abstract Neural networks can learn to represent and manipulate numeric...	2018	61
7,819	MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare Edward Choi⇤ Google Brain edwardchoi@google.com Cao Xiao IBM Research cxiao@us.ibm.com Walter F. Stewart† HINT Consultants wfs502000@yahoo.com Jimeng Sun Georgia Institute of Technology jsun@cc.gatech.edu...	2018	610
7,820	Learning Optimal Reserve Price against Non-myopic Bidders Zhiyi Huang∗ Jinyan Liu Xiangning Wang Department of Computer Science The University of Hong Kong {zhiyi, jyliu, xnwang}@cs.hku.hk Abstract We consider the problem of learning optimal reserve price in repeated auctions against non-myopic bidd...	2018	611
7,821	A Bayesian Approach to Generative Adversarial Imitation Learning Wonseok Jeon1, Seokin Seo1, Kee-Eung Kim1,2 1 School of Computing, KAIST, Republic of Korea 2 PROWLER.io {wsjeon, siseo}@ai.kaist.ac.kr, kekim@cs.kaist.ac.kr Abstract Generative adversarial training for imitation learning has shown promising...	2018	612
7,822	Credit Assignment For Collective Multiagent RL With Global Rewards Duc Thien Nguyen Akshat Kumar Hoong Chuin Lau School of Information Systems Singapore Management University 80 Stamford Road, Singapore 178902 {dtnguyen.2014,akshatkumar,hclau}@smu.edu.sg Abstract Scaling decision theoretic planning ...	2018	613
7,823	Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan1, Xiatian Zhu2, and Shaogang Gong1 1Queen Mary University of London 2Vision Semantics Limited Abstract Knowledge distillation is effective to train the small and generalisable network models for meeting the low-memory and fast running requirement...	2018	614
7,824	Flexible and accurate inference and learning for deep generative models Eszter Vértes Maneesh Sahani Gatsby Computational Neuroscience Unit University College London London, W1T 4JG {eszter, maneesh}@gatsby.ucl.ac.uk Abstract We introduce a new approach to learning in hierarchical latent-variable gene...	2018	615
7,825	A loss framework for calibrated anomaly detection Aditya Krishna Menon Australian National University∗ aditya.menon@anu.edu.au Robert C. Williamson Australian National University bob.williamson@anu.edu.au Abstract Given samples from a distribution, anomaly detection is the problem of determining if a ...	2018	616
7,826	Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams Tam Le RIKEN Center for Advanced Intelligence Project, Japan tam.le@riken.jp Makoto Yamada Kyoto University, Japan RIKEN Center for Advanced Intelligence Project, Japan makoto.yamada@riken.jp Abstract Algebraic topology...	2018	617
7,827	Constructing Deep Neural Networks by Bayesian Network Structure Learning Raanan Y. Rohekar Intel AI Lab raanan.yehezkel@intel.com Shami Nisimov Intel AI Lab shami.nisimov@intel.com Yaniv Gurwicz Intel AI Lab yaniv.gurwicz@intel.com Guy Koren Intel AI Lab guy.koren@intel.com Gal Novik Intel...	2018	618
7,828	Training Deep Models Faster with Robust, Approximate Importance Sampling Tyler B. Johnson University of Washington, Seattle tbjohns@washington.edu Carlos Guestrin University of Washington, Seattle guestrin@cs.washington.edu Abstract In theory, importance sampling speeds up stochastic gradient algorith...	2018	619
7,829	Implicit Bias of Gradient Descent on Linear Convolutional Networks Suriya Gunasekar TTI at Chicago, USA suriya@ttic.edu Jason D. Lee USC Los Angeles, USA jasonlee@marshall.usc.edu Daniel Soudry Technion, Israel daniel.soudry@gmail.com Nathan Srebro TTI at Chicago, USA nati@ttic.edu Abstract ...	2018	62
7,830	Learning Beam Search Policies via Imitation Learning Renato Negrinho1 Matthew R. Gormley1 Geoffrey J. Gordon1,2 1Machine Learning Department, Carnegie Mellon University 2Microsoft Research {negrinho,mgormley,ggordon}@cs.cmu.edu Abstract Beam search is widely used for approximate decoding in structured...	2018	620
7,831	Multivariate Time Series Imputation with Generative Adversarial Networks Yonghong Luo College of Computer Science Nankai University Tianjin, China luoyonghong@dbis.nankai.edu.cn Xiangrui Cai College of Computer Science Nankai University Tianjin, China caixiangrui@dbis.nankai.edu.cn Ying Zhang ∗ ...	2018	621
7,832	An Efﬁcient Pruning Algorithm for Robust Isotonic Regression Cong Han Lim ∗ School of Industrial Systems and Engineering Georgia Tech Altanta, GA 30332 clim31@gatech.edu Abstract We study a generalization of the classic isotonic regression problem where we allow separable nonconvex objective functions...	2018	622
7,833	Bilinear Attention Networks Jin-Hwa Kim1⇤, Jaehyun Jun2, Byoung-Tak Zhang2,3 1SK T-Brain, 2Seoul National University, 3Surromind Robotics jnhwkim@sktbrain.com, {jhjun,btzhang}@bi.snu.ac.kr Abstract Attention networks in multimodal learning provide an efﬁcient way to utilize given visual information selectiv...	2018	623
7,834	Unsupervised Video Object Segmentation for Deep Reinforcement Learning Vik Goel, Jameson Weng, Pascal Poupart Cheriton School of Computer Science, Waterloo AI Institute, University of Waterloo, Canada Vector Institute, Toronto, Canada {v5goel,jj2weng,ppoupart}@uwaterloo.ca Abstract We present a new techni...	2018	624
7,835	Constructing Fast Network through Deconstruction of Convolution Yunho Jeon School of Electrical Engineering, KAIST jyh2986@kaist.ac.kr Junmo Kim School of Electrical Engineering, KAIST junmo.kim@kaist.ac.kr Abstract Convolutional neural networks have achieved great success in various vision tasks; h...	2018	625
7,836	Improving Simple Models with Conﬁdence Proﬁles Amit Dhurandhar* IBM Research, Yorktown Heights, NY adhuran@us.ibm.com Karthikeyan Shanmugam* IBM Research, Yorktown Heights, NY karthikeyan.shanmugam2@ibm.com Ronny Luss IBM Research, Yorktown Heights, NY rluss@us.ibm.com Peder Olsen IBM Resear...	2018	626
7,837	Turbo Learning for CaptionBot and DrawingBot Qiuyuan Huang Microsoft Research Redmond, WA, USA qihua@microsoft.com Pengchuan Zhang Microsoft Research Redmond, WA, USA penzhan@microsoft.com Dapeng Wu University of Florida Gainesville, FL, USA dpwu@ieee.org Lei Zhang Microsoft Research Redmo...	2018	627
7,838	Online Reciprocal Recommendation with Theoretical Performance Guarantees Fabio Vitale Department of Computer Science Sapienza University of Rome (Italy) & University of Lille (France) & INRIA Lille Nord Europe Rome, Italy & Lille, France fabio.vitale@inria.fr Nikos Parotsidis University of Rome Tor Verg...	2018	628
7,839	Learning semantic similarity in a continuous space Michel Deudon Ecole Polytechnique Palaiseau, France michel.deudon@polytechnique.edu Abstract We address the problem of learning semantic representation of questions to measure similarity between pairs as a continuous distance metric. Our work naturally ...	2018	629
7,840	On Binary Classiﬁcation in Extreme Regions Hamid Jalalzai, Stephan Cl´emenc¸on and Anne Sabourin LTCI Telecom ParisTech, Universit´e Paris-Saclay 75013, Paris, France first.last@telecom-paristech.fr Abstract In pattern recognition, a random label Y is to be predicted based upon observing a random vector X v...	2018	63
7,841	Representation Balancing MDPs for Off-Policy Policy Evaluation Yao Liu Stanford University yaoliu@stanford.edu Omer Gottesman Harvard University gottesman@fas.harvard.edu Aniruddh Raghu Cambridge University aniruddhraghu@gmail.com Matthieu Komorowski Imperial College London matthieu.komorowski...	2018	630
7,842	See and Think: Disentangling Semantic Scene Completion Shice Liu1, 2 Yu Hu1, 2 Yiming Zeng1, 2 Qiankun Tang1, 2 Beibei Jin1, 2 Yinhe Han1, 2 Xiaowei Li1, 2 1State Key Laboratory of Computer Architecture Institute of Computing Technology, Chinese Academy of Sciences 2 University of Chinese Academy ...	2018	631
7,843	L4: Practical loss-based stepsize adaptation for deep learning Michal Rolínek and Georg Martius Max-Planck-Institute for Intelligent Systems Tübingen, Germany michal.rolinek@tuebingen.mpg.de and georg.martius@tuebingen.mpg.de Abstract We propose a stepsize adaptation scheme for stochastic gradient descent. ...	2018	632
7,844	Generalisation of structural knowledge in the hippocampal-entorhinal system James C.R. Whittington* University of Oxford, UK james.whittington@magd.ox.ac.uk Timothy H. Muller* University of Oxford, UK timothymuller127@gmail.com Shirley Mark University College London, UK s.mark@ucl.ac.uk Caswell Ba...	2018	633
7,845	Pelee: A Real-Time Object Detection System on Mobile Devices Robert J. Wang, Xiang Li, Charles X. Ling ∗ Department of Computer Science University of Western Ontario London, Ontario, Canada, N6A 3K7 {jwan563,lxiang2,charles.ling}@uwo.ca Abstract An increasing need of running Convolutional Neural Network...	2018	634
7,846	Co-regularized Alignment for Unsupervised Domain Adaptation Abhishek Kumar MIT-IBM Watson AI Lab, IBM Research abhishk@us.ibm.com Prasanna Sattigeri MIT-IBM Watson AI Lab, IBM Research psattig@us.ibm.com Kahini Wadhawan MIT-IBM Watson AI Lab, IBM Research kahini.wadhawan@ibm.com Leonid Karlinsky ...	2018	635
7,847	How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD∗ Zeyuan Allen-Zhu Microsoft Research AI Redmond, WA 98052 zeyuan@csail.mit.edu Abstract Stochastic gradient descent (SGD) gives an optimal convergence rate when minimizing convex stochastic objectives f(x). However, in te...	2018	636
7,848	Entropy Rate Estimation for Markov Chains with Large State Space Yanjun Han Department of Electrical Engineering Stanford University Stanford, CA 94305 yjhan@stanford.edu Jiantao Jiao Department of Electrical Engineering and Computer Sciences University of California, Berkeley Berkeley, CA 94720 j...	2018	637
7,849	Data-dependent PAC-Bayes priors via differential privacy Gintare Karolina Dziugaite University of Cambridge; Element AI Daniel M. Roy University of Toronto; Vector Institute Abstract The Probably Approximately Correct (PAC) Bayes framework (McAllester, 1999) can incorporate knowledge about the learning ...	2018	638
7,850	Unsupervised Depth Estimation, 3D Face Rotation and Replacement Joel Ruben Antony Moniz1⇤, Christopher Beckham2,3⇤, Simon Rajotte2,3, Sina Honari2, Christopher Pal2,3,4 1Carnegie Mellon University, 2Mila-University of Montreal, 3Polytechnique Montreal, 4Element AI 1jrmoniz@andrew.cmu.edu, 2honaris@iro.umontre...	2018	639
7,851	Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models Alexander Neitz1 3 Giambattista Parascandolo1 2 Stefan Bauer1 2 Bernhard Schölkopf1 2 1Max Planck Institute for Intelligent Systems 2Max Planck ETH Center for Learning Systems 3aneitz@tue.mpg.de Abstract We introduce a meth...	2018	64
7,852	Information Constraints on Auto-Encoding Variational Bayes Romain Lopez1, Jeffrey Regier1, Michael I. Jordan1,2, and Nir Yosef1,3,4 {romain_lopez, regier, niryosef}@berkeley.edu jordan@cs.berkeley.edu 1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley 2Department o...	2018	640
7,853	On Misinformation Containment in Online Social Networks Guangmo (Amo) Tong Department of Computer and Information Sciences University of Delaware amotong@udel.edu Weili Wu Department of Computer Science University of Texas at Dallas weiliwu@utdallas.edu Ding-Zhu Du Department of Computer Science ...	2018	641
7,854	Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Speciﬁc Language Matthew D. Hoffman∗ Google AI mhoffman@google.com Matthew J Johnson* Google Brain mattjj@google.com Dustin Tran Google Brain trandustin@google.com Abstract Deriving conditional and marginal distributions using conju...	2018	642
7,855	Size-Noise Tradeoffs in Generative Networks Bolton Bailey Matus Telgarsky {boltonb2,mjt}@illinois.edu University of Illinois, Urbana-Champaign Abstract This paper investigates the ability of generative networks to convert their input noise distributions into other distributions. Firstly, we demonstrate a ...	2018	643
7,856	Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu⇤ Department of Computer Science UCLA Los Angeles, CA 90095 panxu@cs.ucla.edu Jinghui Chen⇤ Department of Computer Science University of Virginia Charlottesville, VA 22903 jc4zg@virginia.edu Difan Zou Dep...	2018	644
7,857	Online convex optimization for cumulative constraints Jianjun Yuan Department of Electrical and Computer Engineering University of Minnesota Minneapolis, MN, 55455 yuanx270@umn.edu Andrew Lamperski Department of Electrical and Computer Engineering University of Minnesota Minneapolis, MN, 55455 alamp...	2018	645
7,858	Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance Neal Jean∗, Sang Michael Xie∗, Stefano Ermon Department of Computer Science Stanford University Stanford, CA 94305 {nealjean, xie, ermon}@cs.stanford.edu Abstract Large amounts of labeled data are ty...	2018	646
7,859	Stimulus domain transfer in recurrent models for large scale cortical population prediction on video Fabian H. Sinz,1-2,5,7,* Alexander S. Ecker,2,4-6 Paul G. Fahey,1-2 Edgar Y. Walker,1-2 Erick Cobos, 1-2 Emmanouil Froudarakis,1-2 Dimitri Yatsenko,1-2 Xaq Pitkow,1-3 Jacob Reimer,1-2 Andreas S. Tolias1-3,5 1 ...	2018	647
7,860	Sigsoftmax: Reanalysis of the Softmax Bottleneck Sekitoshi Kanai NTT Software Innovation Center, Keio Univ. kanai.sekitoshi@lab.ntt.co.jp Yasuhiro Fujiwara NTT Software Innovation Center fujiwara.yasuhiro@lab.ntt.co.jp Yuki Yamanaka NTT Secure Platform Laboratories yamanaka.yuki@lab.ntt.co.jp Shuich...	2018	648
7,861	Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning Xing Yan3 Weizhong Zhang1 Lin Ma1 Wei Liu1 Qi Wu2,∗ 1Tencent AI Lab 2School of Data Science, City University of Hong Kong 3Department of SEEM, The Chinese University of Hong Kong xyan@se.cuhk.edu.hk {zhangwei...	2018	649
7,862	Learning to Specialize with Knowledge Distillation for Visual Question Answering Jonghwan Mun1,3 Kimin Lee2 Jinwoo Shin2 Bohyung Han3 1Computer Vision Lab., POSTECH, Pohang, Korea 2Algorithmic Intelligence Lab., KAIST, Daejeon, Korea 3Computer Vision Lab., ASRI, Seoul National University, Seoul, Korea ...	2018	65
7,863	Adaptive Learning with Unknown Information Flows Yonatan Gur Graduate School of Business Stanford University Stanford, CA 94305 ygur@stanford.edu Ahmadreza Momeni Electrical Engineering Department Stanford University Stanford, CA 94305 amomenis@stanford.edu Abstract An agent facing sequential de...	2018	650
7,864	DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors Arash Vahdat∗, Evgeny Andriyash∗, William G. Macready Quadrant.ai, D-Wave Systems Inc. Burnaby, BC, Canada {arash,evgeny,bill}@quadrant.ai Abstract Boltzmann machines are powerful distributions that have been shown to be an effective...	2018	651
7,865	Reinforcement Learning for Solving the Vehicle Routing Problem Mohammadreza Nazari Afshin Oroojlooy Martin Takáˇc Lawrence V. Snyder Department of Industrial and Systems Engineering Lehigh University, Bethlehem, PA 18015 {mon314,afo214,takac,lvs2}@lehigh.edu Abstract We present an end-to-end framewo...	2018	652
7,866	GumBolt: Extending Gumbel trick to Boltzmann priors Amir H. Khoshaman D-Wave Systems Inc.⇤ khoshaman@gmail.com Mohammad H. Amin D-Wave Systems Inc. Simon Fraser University mhsamin@dwavesys.com Abstract Boltzmann machines (BMs) are appealing candidates for powerful priors in variational autoencoders ...	2018	653
7,867	Adding One Neuron Can Eliminate All Bad Local Minima Shiyu Liang Coordinated Science Laboratory Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign sliang26@illinois.edu Ruoyu Sun Coordinated Science Laboratory Department of ISE University of Illinois at Urbana-Ch...	2018	654
7,868	Norm matters: efﬁcient and accurate normalization schemes in deep networks Elad Hoffer1∗, Ron Banner2∗, Itay Golan1∗, Daniel Soudry1 {elad.hoffer, itaygolan, daniel.soudry}@gmail.com {ron.banner}@intel.com (1) Technion - Israel Institute of Technology, Haifa, Israel (2) Intel - Artiﬁcial Intelligence Produc...	2018	655
7,869	Local Differential Privacy for Evolving Data Matthew Joseph Computer and Information Science University of Pennsylvania majos@cis.upenn.edu Aaron Roth Computer and Information Science University of Pennsylvania aaroth@cis.upenn.edu Jonathan Ullman Computer and Information Sciences Northeastern Uni...	2018	656
7,870	Dialog-based Interactive Image Retrieval Xiaoxiao Guo† IBM Research AI xiaoxiao.guo@ibm.com Hui Wu† IBM Research AI wuhu@us.ibm.com Yu Cheng IBM Research AI chengyu@us.ibm.com Steven Rennie Fusemachines Inc. srennie@gmail.com Gerald Tesauro IBM Research AI gtesauro@us.ibm.com Rogerio Sch...	2018	657
7,871	Byzantine Stochastic Gradient Descent Dan Alistarh⇤ IST Austria dan.alistarh@ist.ac.at Zeyuan Allen-Zhu⇤ Microsoft Research AI zeyuan@csail.mit.edu Jerry Li⇤ Simons Institute jerryzli@berkeley.edu Abstract This paper studies the problem of distributed stochastic optimization in an adversarial sett...	2018	658
7,872	Robust Hypothesis Testing Using Wasserstein Uncertainty Sets Rui Gao School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta, GA 30332 rgao32@gatech.edu Liyan Xie School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta, GA 30332 lxie49@gate...	2018	659
7,873	A Model for Learned Bloom Filters, and Optimizing by Sandwiching Michael Mitzenmacher School of Engineering and Applied Sciences Harvard University michaelm@eecs.harvard.edu Abstract Recent work has suggested enhancing Bloom ﬁlters by using a pre-ﬁlter, based on applying machine learning to determine a ...	2018	66
7,874	Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies Alessandro Achille, Tom Eccles, Loic Matthey, Christopher P Burgess, Nick Watters, Alexander Lerchner, Irina Higgins UCLA, DeepMind achille@cs.ucla.edu, {eccles,lmatthey,cpburgess,nwatters,lerchner,irinah}@google.com Abstra...	2018	660
7,875	Computationally and statistically efﬁcient learning of causal Bayes nets using path queries Kevin Bello Department of Computer Science Purdue University West Lafayette, IN, USA kbellome@purdue.edu Jean Honorio Department of Computer Science Purdue University West Lafayette, IN, USA jhonorio@purdue...	2018	661
7,876	Predictive Approximate Bayesian Computation via Saddle Points Yingxiang Yang∗ Bo Dai⋆ Negar Kiyavash† Niao He∗† {yyang172,kiyavash,niaohe} @illinois.edu bohr.dai@gmail.com Abstract Approximate Bayesian computation (ABC) is an important methodology for Bayesian inference when the likelihood function ...	2018	662
7,877	Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han∗1,2, Quanming Yao∗3, Xingrui Yu1, Gang Niu2, Miao Xu2, Weihua Hu4, Ivor W. Tsang1, Masashi Sugiyama2,5 1Centre for Artiﬁcial Intelligence, University of Technology Sydney; 2RIKEN; 34Paradigm Inc.; 4Stanford University; 5Un...	2018	663
7,878	On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport Lénaïc Chizat INRIA, ENS, PSL Research University Paris, France lenaic.chizat@inria.fr Francis Bach INRIA, ENS, PSL Research University Paris, France francis.bach@inria.fr Abstract Many tasks in mac...	2018	664
7,879	Smoothed analysis of the low-rank approach for smooth semideﬁnite programs Thomas Pumir∗ ORFE Department Princeton University tpumir@princeton.edu Samy Jelassi∗ ORFE Department Princeton University sjelassi@princeton.edu Nicolas Boumal Department of Mathematics Princeton University nboumal@mat...	2018	665
7,880	Diﬀerentially Private Contextual Linear Bandits Roshan Shariﬀ Department of Computing Science University of Alberta Edmonton, Alberta, Canada roshan.shariff@ualberta.ca Or Sheﬀet Department of Computing Science University of Alberta Edmonton, Alberta, Canada osheffet@ualberta.ca Abstract We stud...	2018	666
7,881	Learning to Reason with Third-Order Tensor Products Imanol Schlag The Swiss AI Lab IDSIA / USI / SUPSI imanol@idsia.ch Jürgen Schmidhuber The Swiss AI Lab IDSIA / USI / SUPSI juergen@idsia.ch Abstract We combine Recurrent Neural Networks with Tensor Product Representations to learn combinatorial rep...	2018	667
7,882	Diversity-Driven Exploration Strategy for Deep Reinforcement Learning Zhang-Wei Hong, Tzu-Yun Shann, Shih-Yang Su, Yi-Hsiang Chang, Tsu-Jui Fu, and Chun-Yi Lee Department of Computer Science, National Tsing Hua University {williamd4112,arielshann,at7788546,shawn420,rayfu1996ozig,cylee} @gapp.nthu.edu.tw A...	2018	668
7,883	Neuronal Capacity Pierre Baldi Department of Computer Science University of California, Irvine Irvine, CA 92697 pfbaldi@uci.edu Roman Vershynin Department of Mathematics University of California, Irvine Irvine, CA 92697 rvershyn@uci.edu Abstract We deﬁne the capacity of a learning machine to be ...	2018	669
7,884	Random Feature Stein Discrepancies Jonathan H. Huggins⇤ Department of Biostatistics, Harvard jhuggins@mit.edu Lester Mackey⇤ Microsoft Research New England lmackey@microsoft.com Abstract Computable Stein discrepancies have been deployed for a variety of applications, ranging from sampler selection in ...	2018	67
7,885	GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking Patrick H. Chen∗ UCLA Los Angeles, CA patrickchen@g.ucla.edu Si Si Google Research Mountain View, CA sisidaisy@google.com Yang Li Google Research Mountain View, CA liyang@google.com Ciprian Chelba Google Res...	2018	670
7,886	Deep Structured Prediction with Nonlinear Output Transformations Colin Graber Ofer Meshi† Alexander Schwing cgraber2@illinois.edu meshi@google.com aschwing@illinois.edu University of Illinois at Urbana-Champaign †Google Abstract Deep structured models are widely used for tasks like semantic segmen...	2018	671
7,887	Training Neural Networks Using Features Replay Zhouyuan Huo1,2, Bin Gu2, Heng Huang1,2∗ 1Electrical and Computer Engineering, University of Pittsburgh, 2 JDDGlobal.com zhouyuan.huo@pitt.edu, jsgubin@gmail.com heng.huang@pitt.edu Abstract Training a neural network using backpropagation algorithm requires pas...	2018	672
7,888	Mallows Models for Top-k Lists Flavio Chierichetti Sapienza University, Rome, Italy flavio@di.uniroma1.it Anirban Dasgupta IIT, Gandhinagar, India anirban.dasgupta@gmail.com Shahrzad Haddadan Sapienza University, Rome, Italy shahrzad.haddadan@uniroma1.it Ravi Kumar Google, Mountain View, CA ravi...	2018	673
7,889	Information-based Adaptive Stimulus Selection to Optimize Communication Efﬁciency in Brain-Computer Interfaces Boyla O. Mainsah,1 Dmitry Kalika,2 Leslie M. Collins,1,∗ Siyuan Liu,1 Chandra S. Throckmorton1 1Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA 2Johns Hopkins Un...	2018	674
7,890	Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences Jeremias Knoblauch The Alan Turing Institute Department of Statistics University of Warwick Coventry, CV4 7AL j.knoblauch@warwick.ac.uk Jack Jewson Department of Statistics University of Warwick Coventry, CV4 7AL...	2018	675
7,891	Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor1∗ Zhen Lin1∗ Shubhendu Trivedi2∗ 1The University of Chicago 2Toyota Technological Institute {risi, zlin7}@uchicago.edu, shubhendu@ttic.edu Abstract Recent work by Cohen et al. [1] has achieved state-of-the-ar...	2018	676
7,892	Visualizing the Loss Landscape of Neural Nets Hao Li1, Zheng Xu1, Gavin Taylor2, Christoph Studer3, Tom Goldstein1 1University of Maryland, College Park 2United States Naval Academy 3Cornell University {haoli,xuzh,tomg}@cs.umd.edu, taylor@usna.edu, studer@cornell.edu Abstract Neural network training relies on...	2018	677
7,893	Non-monotone Submodular Maximization in Exponentially Fewer Iterations Eric Balkanski Harvard University ericbalkanski@g.harvard.edu Adam Breuer Harvard University breuer@g.harvard.edu Yaron Singer Harvard University yaron@seas.harvard.edu Abstract In this paper we consider parallelization for a...	2018	678
7,894	Representation Learning for Treatment Effect Estimation from Observational Data Liuyi Yao SUNY at Buffalo liuyiyao@buffalo.edu Sheng Li University of Georgia sheng.li@uga.edu Yaliang Li Tencent Medical AI Lab yaliangli@tencent.com Mengdi Huai SUNY at Buffalo mengdihu@buffalo.edu Jing Gao S...	2018	679
7,895	Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks Quan Zhang McCombs School of Business The University of Texas at Austin Austin, TX 78712 quan.zhang@mccombs.utexas.edu Mingyuan Zhou McCombs School of Business The University of Texas at Austin Austin, TX 78712 ...	2018	68
7,896	Memory Replay GANs: learning to generate images from new categories without forgetting Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu Computer Vision Center Universitat Autònoma de Barcelona, Spain {chenshen, lherranz, xialei, yaxing, joost, bogdan}@cvc.uab.es Abs...	2018	680
7,897	HOGWILD!-Gibbs Can Be PanAccurate Constantinos Daskalakis ∗ EECS & CSAIL, MIT costis@csail.mit.edu Nishanth Dikkala ∗ EECS & CSAIL, MIT nishanthd@csail.mit.edu Siddhartha Jayanti ∗† EECS & CSAIL, MIT jayanti@mit.edu Abstract Asynchronous Gibbs sampling has been recently shown to be fast-mixing and...	2018	681
7,898	DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning Runsheng Yu∗ Xiaomi AI Lab South China Normal University runshengyu@gmail.com Wenyu Liu ∗ Xiaomi AI Lab Peking University liuwenyu@pku.edu.cn Yasen Zhang Xiaomi AI Lab zhangyasen@xiaomi.com Zhi Qu Xia...	2018	682
7,899	Data Ampliﬁcation: A Uniﬁed and Competitive Approach to Property Estimation Yi HAO Dept. of Electrical and Computer Engineering University of California, San Diego La Jolla, CA 92093 yih179@eng.ucsd.edu Alon Orlitsky Dept. of Electrical and Computer Engineering University of California, San Diego La...	2018	683

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