【NIPS 2018】完整论文下载链接
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[1] Efficient Algorithms for Non-convex Isotonic Regression through Submodular OptimizationAuthors: Francis Bach
[2] Structure-Aware Convolutional Neural Networks
Authors: Jianlong Chang Jie Gu Lingfeng Wang GAOFENG MENG SHIMING XIANG Chunhong Pan
[3] Kalman Normalization: Normalizing Internal Representations Across Network Layers
Authors: Guangrun Wang jiefeng peng Ping Luo Xinjiang Wang Liang Lin
[4] HOGWILD!-Gibbs can be PanAccurate
Authors: Constantinos Daskalakis Nishanth Dikkala Siddhartha Jayanti
[5] Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
Authors: Seonghyeon Nam Yunji Kim Seon Joo Kim
[6] IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
Authors: Huaibo Huang zhihang li Ran He Zhenan Sun Tieniu Tan
[7] Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences
Authors: Jeremias Knoblauch Jack E. Jewson Theodoros Damoulas
[8] Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
Authors: Tyler Scott Karl Ridgeway Michael C. Mozer
[9] Generalized Inverse Optimization through Online Learning
Authors: Chaosheng Dong Yiran Chen Bo Zeng
[10] An Off-policy Policy Gradient Theorem Using Emphatic Weightings
Authors: Ehsan Imani Eric Graves Martha White
[11] Supervised autoencoders: Improving generalization performance with unsupervised regularizers
Authors: Lei Le Andrew Patterson Martha White
[12] Visual Object Networks: Image Generation with Disentangled 3D Representations
Authors: Jun-Yan Zhu Zhoutong Zhang Chengkai Zhang Jiajun Wu Antonio Torralba Josh Tenenbaum Bill Freeman
[13] Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units
Authors: Yixi Xu Xiao Wang
[14] Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
Authors: Mrinmaya Sachan Kumar Avinava Dubey Tom M. Mitchell Dan Roth Eric P. Xing
[15] Learning long-range spatial dependencies with horizontal gated recurrent units
Authors: Drew Linsley Junkyung Kim Vijay Veerabadran Charles Windolf Thomas Serre
[16] Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution
Authors: Zhisheng Zhong Tiancheng Shen Yibo Yang Zhouchen Lin Chao Zhang
[17] Fast Similarity Search via Optimal Sparse Lifting
Authors: Wenye Li Jingwei Mao Yin Zhang Shuguang Cui
[18] Learning Deep Disentangled Embeddings With the F-Statistic Loss
Authors: Karl Ridgeway Michael C. Mozer
[19] Geometrically Coupled Monte Carlo Sampling
Authors: Mark Rowland Krzysztof M. Choromanski François Chalus Aldo Pacchiano Tamas Sarlos Richard E. Turner Adrian Weller
[20] Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation
Authors: Siyuan Huang Siyuan Qi Yinxue Xiao Yixin Zhu Ying Nian Wu Song-Chun Zhu
[21] An Efficient Pruning Algorithm for Robust Isotonic Regression
Authors: Cong Han Lim
[22] PAC-learning in the presence of adversaries
Authors: Daniel Cullina Arjun Nitin Bhagoji Prateek Mittal
[23] Sparse DNNs with Improved Adversarial Robustness
Authors: Yiwen Guo Chao Zhang Changshui Zhang Yurong Chen
[24] Snap ML: A Hierarchical Framework for Machine Learning
Authors: Celestine Dünner Thomas Parnell Dimitrios Sarigiannis Nikolas Ioannou Andreea Anghel Gummadi Ravi Madhusudanan Kandasamy Haralampos Pozidis
[25] See and Think: Disentangling Semantic Scene Completion
Authors: Shice Liu YU HU Yiming Zeng Qiankun Tang Beibei Jin Yinhe Han Xiaowei Li
[26] Chain of Reasoning for Visual Question Answering
Authors: Chenfei Wu Jinlai Liu Xiaojie Wang Xuan Dong
[27] Sigsoftmax: Reanalysis of the Softmax Bottleneck
Authors: Sekitoshi Kanai Yasuhiro Fujiwara Yuki Yamanaka Shuichi Adachi
[28] Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation
Authors: Wenqi Ren Jiawei Zhang Lin Ma Jinshan Pan Xiaochun Cao Wangmeng Zuo Wei Liu Ming-Hsuan Yang
[29] Probabilistic Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC
Authors: Tolga Birdal Umut Simsekli Mustafa Onur Eken Slobodan Ilic
[30] MetaAnchor: Learning to Detect Objects with Customized Anchors
Authors: Tong Yang Xiangyu Zhang Zeming Li Wenqiang Zhang Jian Sun
[31] Image Inpainting via Generative Multi-column Convolutional Neural Networks
Authors: Yi Wang Xin Tao Xiaojuan Qi Xiaoyong Shen Jiaya Jia
[32] On Misinformation Containment in Online Social Networks
Authors: Amo Tong Ding-Zhu Du Weili Wu
[33] A^2-Nets: Double Attention Networks
Authors: Yunpeng Chen Yannis Kalantidis Jianshu Li Shuicheng Yan Jiashi Feng
[34] Self-Supervised Generation of Spatial Audio for 360° Video
Authors: Pedro Morgado Nuno Nvasconcelos Timothy Langlois Oliver Wang
[35] How Many Samples are Needed to Estimate a Convolutional Neural Network?
Authors: Simon S. Du Yining Wang Xiyu Zhai Sivaraman Balakrishnan Ruslan R. Salakhutdinov Aarti Singh
[36] Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
Authors: Simon S. Du Wei Hu Jason D. Lee
[37] Optimization for Approximate Submodularity
Authors: Yaron Singer Avinatan Hassidim
[38] (Probably) Concave Graph Matching
Authors: Haggai Maron Yaron Lipman
[39] Deep Defense: Training DNNs with Improved Adversarial Robustness
Authors: Ziang Yan Yiwen Guo Changshui Zhang
[40] Rest-Katyusha: Exploiting the Solution’s Structure via Scheduled Restart Schemes
Authors: Junqi Tang Mohammad Golbabaee Francis Bach Mike E. davies
[41] Implicit Reparameterization Gradients
Authors: Mikhail Figurnov Shakir Mohamed Andriy Mnih
[42] Training DNNs with Hybrid Block Floating Point
Authors: Mario Drumond Tao LIN Martin Jaggi Babak Falsafi
[43] A Model for Learned Bloom Filters and Optimizing by Sandwiching
Authors: Michael Mitzenmacher
[44] Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis
Authors: Haoye Dong Xiaodan Liang Ke Gong Hanjiang Lai Jia Zhu Jian Yin
[45] Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions
Authors: Minhyuk Sung Hao Su Ronald Yu Leonidas J. Guibas
[46] Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
Authors: Yunzhe Tao Qi Sun Qiang Du Wei Liu
[47] Are ResNets Provably Better than Linear Predictors?
Authors: Ohad Shamir
[48] Learning to Decompose and Disentangle Representations for Video Prediction
Authors: Jun-Ting Hsieh Bingbin Liu De-An Huang Li F. Fei-Fei Juan Carlos Niebles
[49] Multi-Task Learning as Multi-Objective Optimization
Authors: Ozan Sener Vladlen Koltun
[50] Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Authors: Zhuwen Li Qifeng Chen Vladlen Koltun
[51] Self-Erasing Network for Integral Object Attention
Authors: Qibin Hou PengTao Jiang Yunchao Wei Ming-Ming Cheng
[52] LinkNet: Relational Embedding for Scene Graph
Authors: Sanghyun Woo Dahun Kim Donghyeon Cho In So Kweon
[53] How to Start Training: The Effect of Initialization and Architecture
Authors: Boris Hanin David Rolnick
[54] Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients?
Authors: Boris Hanin
[55] Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Authors: Amit Dhurandhar Pin-Yu Chen Ronny Luss Chun-Chen Tu Paishun Ting Karthikeyan Shanmugam Payel Das
[56] HitNet: Hybrid Ternary Recurrent Neural Network
Authors: Peiqi Wang Xinfeng Xie Lei Deng Guoqi Li Dongsheng Wang Yuan Xie
[57] A Unified Framework for Extensive-Form Game Abstraction with Bounds
Authors: Christian Kroer Tuomas Sandholm
[58] Removing the Feature Correlation Effect of Multiplicative Noise
Authors: Zijun Zhang Yining Zhang Zongpeng Li
[59] Maximum-Entropy Fine Grained Classification
Authors: Abhimanyu Dubey Otkrist Gupta Ramesh Raskar Nikhil Naik
[60] On Learning Markov Chains
Authors: Yi HAO Alon Orlitsky Venkatadheeraj Pichapati
[61] A Neural Compositional Paradigm for Image Captioning
Authors: Bo Dai Sanja Fidler Dahua Lin
[62] Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
Authors: Kirill Struminsky Simon Lacoste-Julien Anton Osokin
[63] Dialog-based Interactive Image Retrieval
Authors: Xiaoxiao Guo Hui Wu Yu Cheng Steven Rennie Gerald Tesauro Rogerio Feris
[64] SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
Authors: Cong Fang Chris Junchi Li Zhouchen Lin Tong Zhang
[65] Are GANs Created Equal? A Large-Scale Study
Authors: Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet
[66] Learning Disentangled Joint Continuous and Discrete Representations
Authors: Emilien Dupont
[67] TADAM: Task dependent adaptive metric for improved few-shot learning
Authors: Boris Oreshkin Pau Rodríguez López Alexandre Lacoste
[68] Do Less, Get More: Streaming Submodular Maximization with Subsampling
Authors: Moran Feldman Amin Karbasi Ehsan Kazemi
[69] Sparse Covariance Modeling in High Dimensions with Gaussian Processes
Authors: Rui Li Kishan KC Feng Cui Justin Domke Anne Haake
[70] Deep Neural Nets with Interpolating Function as Output Activation
Authors: Bao Wang Xiyang Luo Zhen Li Wei Zhu Zuoqiang Shi Stanley Osher
[71] FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
Authors: Shuyang Sun Jiangmiao Pang Jianping Shi Shuai Yi Wanli Ouyang
[72] Visual Memory for Robust Path Following
Authors:
[73] KDGAN: Knowledge Distillation with Generative Adversarial Networks
Authors: Xiaojie Wang Rui Zhang Yu Sun Jianzhong Qi
[74] Long short-term memory and Learning-to-learn in networks of spiking neurons
Authors: Guillaume Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass
[75] Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN
Authors: Shupeng Su Chao Zhang Kai Han Yonghong Tian
[76] Informative Features for Model Comparison
Authors: Wittawat Jitkrittum Heishiro Kanagawa Patsorn Sangkloy James Hays Bernhard Schölkopf Arthur Gretton
[77] PointCNN: Convolution On X-Transformed Points
Authors: Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen
[78] Connectionist Temporal Classification with Maximum Entropy Regularization
Authors: Hu Liu Sheng Jin Changshui Zhang
[79] Large Margin Deep Networks for Classification
Authors: Gamaleldin Elsayed Dilip Krishnan Hossein Mobahi Kevin Regan Samy Bengio
[80] Generalizing Graph Matching beyond Quadratic Assignment Model
Authors: Tianshu Yu Junchi Yan Yilin Wang Wei Liu baoxin Li
[81] Solving Large Sequential Games with the Excessive Gap Technique
Authors: Christian Kroer Gabriele Farina Tuomas Sandholm
[82] Discrimination-aware Channel Pruning for Deep Neural Networks
Authors: Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jinhui Zhu
[83] On the Dimensionality of Word Embedding
Authors:
[84] Reinforced Continual Learning
Authors: Ju Xu Zhanxing Zhu
[85] Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Authors: Jay Heo Hae Beom Lee Saehoon Kim Juho Lee Kwang Joon Kim Eunho Yang Sung Ju Hwang
[86] DropMax: Adaptive Variational Softmax
Authors: Hae Beom Lee Juho Lee Saehoon Kim Eunho Yang Sung Ju Hwang
[87] Posterior Concentration for Sparse Deep Learning
Authors: Veronika Rockova nicholas polson
[88] A flexible model for training action localization with varying levels of supervision
Authors: Guilhem Chéron Jean-Baptiste Alayrac Ivan Laptev Cordelia Schmid
[89] A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents
Authors: YAN ZHENG Zhaopeng Meng Jianye Hao Zongzhang Zhang Tianpei Yang Changjie Fan
[90] Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited
Authors: Di Wang Marco Gaboardi Jinhui Xu
[91] Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Authors: Hang Gao Zheng Shou Alireza Zareian Hanwang Zhang Shih-Fu Chang
[92] Learning semantic similarity in a continuous space
Authors: Michel Deudon
[93] MetaReg: Towards Domain Generalization using Meta-Regularization
Authors: Yogesh Balaji Swami Sankaranarayanan Rama Chellappa
[94] Boosted Sparse and Low-Rank Tensor Regression
Authors: Lifang He Kun Chen Wanwan Xu Jiayu Zhou Fei Wang
[95] Domain-Invariant Projection Learning for Zero-Shot Recognition
Authors: An Zhao Mingyu Ding Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen
[96] Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Authors: Kexin Yi Jiajun Wu Chuang Gan Antonio Torralba Pushmeet Kohli Josh Tenenbaum
[97] Frequency-Domain Dynamic Pruning for Convolutional Neural Networks
Authors: Zhenhua Liu Jizheng Xu Xiulian Peng Ruiqin Xiong
[98] Quadratic Decomposable Submodular Function Minimization
Authors: Pan Li Niao He Olgica Milenkovic
[99] A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Authors: Tengyang Xie Bo Liu Yangyang Xu Mohammad Ghavamzadeh Yinlam Chow Daoming Lyu Daesub Yoon
[100] \ell_1-regression with Heavy-tailed Distributions
Authors: Lijun Zhang Zhi-Hua Zhou
[101] Neural Nearest Neighbors Networks
Authors: Tobias Plötz Stefan Roth
[102] Efficient nonmyopic batch active search
Authors: Shali Jiang Gustavo Malkomes Matthew Abbott Benjamin Moseley Roman Garnett
[103] A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
Authors: Omer Ben-Porat Moshe Tennenholtz
[104] Interactive Structure Learning with Structural Query-by-Committee
Authors: Christopher Tosh Sanjoy Dasgupta
[105] Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
Authors: Yanjun Li Yoram Bresler
[106] Video-to-Video Synthesis
Authors: Ting-Chun Wang Ming-Yu Liu Jun-Yan Zhu Nikolai Yakovenko Andrew Tao Jan Kautz Bryan Catanzaro
[107] How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD
Authors: Zeyuan Allen-Zhu
[108] Synthesize Policies for Transfer and Adaptation across Tasks and Environments
Authors: Hexiang Hu Liyu Chen Boqing Gong Fei Sha
[109] Adversarial vulnerability for any classifier
Authors: Alhussein Fawzi Hamza Fawzi Omar Fawzi
[110] Evolution-Guided Policy Gradient in Reinforcement Learning
Authors: Shauharda Khadka Kagan Tumer
[111] Toddler-Inspired Visual Object Learning
Authors: Sven Bambach David Crandall Linda Smith Chen Yu
[112] Alternating optimization of decision trees, with application to learning sparse oblique trees
Authors: Miguel A. Carreira-Perpinan Pooya Tavallali
[113] FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Authors: Yixiao Ge Zhuowan Li Haiyu Zhao Guojun Yin Shuai Yi Xiaogang Wang hongsheng Li
[114] New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity
Authors: Pan Zhou Xiaotong Yuan Jiashi Feng
[115] The Lingering of Gradients: How to Reuse Gradients Over Time
Authors: Zeyuan Allen-Zhu David Simchi-Levi Xinshang Wang
[116] Unsupervised Learning of View-invariant Action Representations
Authors: Junnan Li Yongkang Wong Qi Zhao Mohan Kankanhalli
[117] Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
Authors: Hoda Heidari Claudio Ferrari Krishna Gummadi Andreas Krause
[118] Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks
Authors: Qilong Wang Zilin Gao Jiangtao Xie Wangmeng Zuo Peihua Li
[119] Image-to-image translation for cross-domain disentanglement
Authors: Abel Gonzalez-Garcia Joost van de Weijer Yoshua Bengio
[120] Gradient Sparsification for Communication-Efficient Distributed Optimization
Authors: Jianqiao Wangni Jialei Wang Ji Liu Tong Zhang
[121] Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection
Authors: Taylor Mordan Nicolas THOME Gilles Henaff Matthieu Cord
[122] Adaptive Online Learning in Dynamic Environments
Authors: Lijun Zhang Shiyin Lu Zhi-Hua Zhou
[123] FRAGE: Frequency-Agnostic Word Representation
Authors: Chengyue Gong Di He Xu Tan Tao Qin Liwei Wang Tie-Yan Liu
[124] Generative Neural Machine Translation
Authors: Harshil Shah David Barber
[125] Found Graph Data and Planted Vertex Covers
Authors: Austin R. Benson Jon Kleinberg
[126] Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding
Authors: Hajin Shim Sung Ju Hwang Eunho Yang
[127] Regularization Learning Networks: Deep Learning for Tabular Datasets
Authors: Ira Shavitt Eran Segal
[128] Multitask Boosting for Survival Analysis with Competing Risks
Authors: Alexis Bellot Mihaela van der Schaar
[129] Geometry Based Data Generation
Authors: Ofir Lindenbaum Jay Stanley Guy Wolf Smita Krishnaswamy
[130] SLAYER: Spike Layer Error Reassignment in Time
Authors: Sumit Bam Shrestha Garrick Orchard
[131] On Oracle-Efficient PAC RL with Rich Observations
Authors: Christoph Dann Nan Jiang Akshay Krishnamurthy Alekh Agarwal John Langford Robert E. Schapire
[132] Gradient Descent for Spiking Neural Networks
Authors: Dongsung Huh Terrence J. Sejnowski
[133] Generalizing Tree Probability Estimation via Bayesian Networks
Authors: Cheng Zhang Frederick A Matsen IV
[134] Where Do You Think You’re Going?: Inferring Beliefs about Dynamics from Behavior
Authors: Sid Reddy Anca Dragan Sergey Levine
[135] Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution
Authors: Longquan Dai Liang Tang Yuan Xie Jinhui Tang
[136] Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
Authors: Yuxin Chen Adish Singla Oisin Mac Aodha Pietro Perona Yisong Yue
[137] A loss framework for calibrated anomaly detection
Authors:
[138] PacGAN: The power of two samples in generative adversarial networks
Authors: Zinan Lin Ashish Khetan Giulia Fanti Sewoong Oh
[139] Variational Memory Encoder-Decoder
Authors: Hung Le Truyen Tran Thin Nguyen Svetha Venkatesh
[140] Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities
Authors: Yunwen Lei Ke Tang
[141] Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
Authors: Yuan Li Xiaodan Liang Zhiting Hu Eric P. Xing
[142] Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
Authors: Sainandan Ramakrishnan Aishwarya Agrawal Stefan Lee
[143] Hybrid Knowledge Routed Modules for Large-scale Object Detection
Authors: ChenHan Jiang Hang Xu Xiaodan Liang Liang Lin
[144] Bilinear Attention Networks
Authors: Jin-Hwa Kim Jaehyun Jun Byoung-Tak Zhang
[145] Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
Authors: Xing Yan Weizhong Zhang Lin Ma Wei Liu Qi Wu
[146] Multi-Class Learning: From Theory to Algorithm
Authors: Jian Li Yong Liu Rong Yin Hua Zhang Lizhong Ding Weiping Wang
[147] Multivariate Time Series Imputation with Generative Adversarial Networks
Authors: Yonghong Luo Xiangrui Cai Ying ZHANG Jun Xu Yuan xiaojie
[148] Learning Versatile Filters for Efficient Convolutional Neural Networks
Authors: Yunhe Wang Chang Xu Chunjing XU Chao Xu Dacheng Tao
[149] Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
Authors: Robert Gower Filip Hanzely Peter Richtarik Sebastian U. Stich
[150] DifNet: Semantic Segmentation by Diffusion Networks
Authors: Peng Jiang Fanglin Gu Yunhai Wang Changhe Tu Baoquan Chen
[151] Conditional Adversarial Domain Adaptation
Authors: Mingsheng Long ZHANGJIE CAO Jianmin Wang Michael I. Jordan
[152] Neighbourhood Consensus Networks
Authors: Ignacio Rocco Mircea Cimpoi Relja Arandjelović Akihiko Torii Tomas Pajdla Josef Sivic
[153] Relating Leverage Scores and Density using Regularized Christoffel Functions
Authors: Edouard Pauwels Francis Bach Jean-Philippe Vert
[154] Non-Local Recurrent Network for Image Restoration
Authors: Ding Liu Bihan Wen Yuchen Fan Chen Change Loy Thomas S. Huang
[155] Bayesian Semi-supervised Learning with Graph Gaussian Processes
Authors: Yin Cheng Ng Nicolò Colombo Ricardo Silva
[156] Foreground Clustering for Joint Segmentation and Localization in Videos and Images
Authors: Abhishek Sharma
[157] Video Prediction via Selective Sampling
Authors: Jingwei Xu Bingbing Ni Xiaokang Yang
[158] Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Authors: Hongteng Xu Wenlin Wang Wei Liu Lawrence Carin
[159] Learning to Exploit Stability for 3D Scene Parsing
Authors: Yilun Du Zhijian Liu Hector Basevi Ales Leonardis Bill Freeman Josh Tenenbaum Jiajun Wu
[160] Neural Guided Constraint Logic Programming for Program Synthesis
Authors: Lisa Zhang Gregory Rosenblatt Ethan Fetaya Renjie Liao William Byrd Matthew Might Raquel Urtasun Richard Zemel
[161] Genetic-Gated Networks for Deep Reinforcement Learning
Authors: Simyung Chang John Yang Jaeseok Choi Nojun Kwak
[162] Fighting Boredom in Recommender Systems with Linear Reinforcement Learning
Authors: Romain WARLOP Alessandro Lazaric Jérémie Mary
[163] Enhancing the Accuracy and Fairness of Human Decision Making
Authors: Isabel Valera Adish Singla Manuel Gomez Rodriguez
[164] Temporal Regularization for Markov Decision Process
Authors: Pierre Thodoroff Audrey Durand Joelle Pineau Doina Precup
[165] The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning
Authors: Jesse Krijthe Marco Loog
[166] Simple random search of static linear policies is competitive for reinforcement learning
Authors: Horia Mania Aurelia Guy Benjamin Recht
[167] Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Authors: Yizhe Zhang Michel Galley Jianfeng Gao Zhe Gan Xiujun Li Chris Brockett Bill Dolan
[168] Entropy and mutual information in models of deep neural networks
Authors: Marylou Gabrié Andre Manoel Clément Luneau jean barbier Nicolas Macris Florent Krzakala Lenka Zdeborová
[169] Collaborative Learning for Deep Neural Networks
Authors: Guocong Song Wei Chai
[170] High Dimensional Linear Regression using Lattice Basis Reduction
Authors: Ilias Zadik David Gamarnik
[171] Symbolic Graph Reasoning Meets Convolutions
Authors: Xiaodan Liang Zhiting Hu Hao Zhang Liang Lin Eric P. Xing
[172] DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
Authors: Arash Vahdat Evgeny Andriyash William Macready
[173] Partially-Supervised Image Captioning
Authors: Peter Anderson Stephen Gould Mark Johnson
[174] 3D-Aware Scene Manipulation via Inverse Graphics
Authors: Shunyu Yao Tzu Ming Hsu Jun-Yan Zhu Jiajun Wu Antonio Torralba Bill Freeman Josh Tenenbaum
[175] Random Feature Stein Discrepancies
Authors: Jonathan Huggins Lester Mackey
[176] Distributed Stochastic Optimization via Adaptive SGD
Authors: Ashok Cutkosky Róbert Busa-Fekete
[177] Precision and Recall for Time Series
Authors: Nesime Tatbul Tae Jun Lee Stan Zdonik Mejbah Alam Justin Gottschlich
[178] Deep Attentive Tracking via Reciprocative Learning
Authors: Shi Pu Yibing Song Chao Ma Honggang Zhang Ming-Hsuan Yang
[179] Virtual Class Enhanced Discriminative Embedding Learning
Authors: Binghui Chen Weihong Deng Haifeng Shen
[180] Attention in Convolutional LSTM for Gesture Recognition
Authors: Liang Zhang Guangming Zhu Lin Mei Peiyi Shen Syed Afaq Ali Shah Mohammed Bennamoun
[181] Pelee: A Real-Time Object Detection System on Mobile Devices
Authors: Jun Wang Tanner Bohn Charles Ling
[182] Universal Growth in Production Economies
Authors: Simina Branzei Ruta Mehta Noam Nisan
[183] Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors
Authors: Fei Jiang Guosheng Yin Francesca Dominici
[184] Efficient Stochastic Gradient Hard Thresholding
Authors: Pan Zhou Xiaotong Yuan Jiashi Feng
[185] SplineNets: Continuous Neural Decision Graphs
Authors: Cem Keskin Shahram Izadi
[186] Generalized Zero-Shot Learning with Deep Calibration Network
Authors: Shichen Liu Mingsheng Long Jianmin Wang Michael I. Jordan
[187] Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Authors: Kirthevasan Kandasamy Willie Neiswanger Jeff Schneider Barnabas Poczos Eric P. Xing
[188] Embedding Logical Queries on Knowledge Graphs
Authors: Will Hamilton Payal Bajaj Marinka Zitnik Dan Jurafsky Jure Leskovec
[189] Learning Optimal Reserve Price against Non-myopic Bidders
Authors: Jinyan Liu Zhiyi Huang Xiangning Wang
[190] Sequential Context Encoding for Duplicate Removal
Authors: Lu Qi Shu Liu Jianping Shi Jiaya Jia
[191] Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
Authors:
[192] Nonparametric learning from Bayesian models with randomized objective functions
Authors: Simon Lyddon Stephen Walker Chris C. Holmes
[193] SEGA: Variance Reduction via Gradient Sketching
Authors: Filip Hanzely Konstantin Mishchenko Peter Richtarik
[194] Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Authors: Amit Zohar Lior Wolf
[195] One-Shot Unsupervised Cross Domain Translation
Authors: Sagie Benaim Lior Wolf
[196] Regularizing by the Variance of the Activations’ Sample-Variances
Authors: Etai Littwin Lior Wolf
[197] Overlapping Clustering Models, and One (class) SVM to Bind Them All
Authors: Xueyu Mao Purnamrita Sarkar Deepayan Chakrabarti
[198] Algorithmic Linearly Constrained Gaussian Processes
Authors: Markus Lange-Hegermann
[199] DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning
Authors: Runsheng Yu Wenyu Liu Yasen Zhang Zhi Qu Deli Zhao Bo Zhang
[200] Norm matters: efficient and accurate normalization schemes in deep networks
Authors: Elad Hoffer Ron Banner Itay Golan Daniel Soudry
[201] Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms
Authors: Zhihui Zhu Yifan Wang Daniel Robinson Daniel Naiman Rene Vidal Manolis Tsakiris
[202] MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
Authors: Helena Peic Tukuljac Antoine Deleforge Remi Gribonval
[203] Mixture Matrix Completion
Authors: Daniel Pimentel-Alarcon
[204] Trajectory Convolution for Action Recognition
Authors: Yue Zhao Yuanjun Xiong Dahua Lin
[205] The Description Length of Deep Learning models
Authors: Léonard Blier Yann Ollivier
[206] A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
Authors: Sampath Kannan Jamie H. Morgenstern Aaron Roth Bo Waggoner Zhiwei Steven Wu
[207] Revisiting Decomposable Submodular Function Minimization with Incidence Relations
Authors: Pan Li Olgica Milenkovic
[208] A Practical Algorithm for Distributed Clustering and Outlier Detection
Authors: Jiecao Chen Erfan Sadeqi Azer Qin Zhang
[209] Learning to Reconstruct Shapes from Unseen Classes
Authors:
[210] BourGAN: Generative Networks with Metric Embeddings
Authors: Chang Xiao Peilin Zhong Changxi Zheng
[211] Smoothed analysis of the low-rank approach for smooth semidefinite programs
Authors:
[212] Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning
Authors: Ofir Marom Benjamin Rosman
[213] Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate
Authors: Mikhail Belkin Daniel J. Hsu Partha Mitra
[214] Breaking the Span Assumption Yields Fast Finite-Sum Minimization
Authors: Robert Hannah Yanli Liu Daniel O’Connor Wotao Yin
[215] Structured Local Minima in Sparse Blind Deconvolution
Authors: Yuqian Zhang Han-wen Kuo John Wright
[216] GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
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[217] Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data
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[218] Non-monotone Submodular Maximization in Exponentially Fewer Iterations
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[219] MetaGAN: An Adversarial Approach to Few-Shot Learning
Authors: Ruixiang ZHANG Tong Che Zoubin Ghahramani Yoshua Bengio Yangqiu Song
[220] Local Differential Privacy for Evolving Data
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[221] Gaussian Process Conditional Density Estimation
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[222] Meta-Gradient Reinforcement Learning
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[223] Modular Networks: Learning to Decompose Neural Computation
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[225] Query Complexity of Bayesian Private Learning
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[226] A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
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[227] Recurrent World Models Facilitate Policy Evolution
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[229] Wasserstein Variational Inference
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[231] Verifiable Reinforcement Learning via Policy Extraction
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Authors: Peng Jiang Gagan Agrawal
[235] Active Learning for Non-Parametric Regression Using Purely Random Trees
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Authors: Xinyun Chen Chang Liu Dawn Song
[237] Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
Authors: Hyeonseob Nam Hyo-Eun Kim
[238] Structural Causal Bandits: Where to Intervene?
Authors: Sanghack Lee Elias Bareinboim
[239] Answerer in Questioner’s Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
Authors: Sang-Woo Lee Yu-Jung Heo Byoung-Tak Zhang
[240] A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Authors: Alexander H. Liu Yen-Cheng Liu Yu-Ying Yeh Yu-Chiang Frank Wang
[241] Online Learning with an Unknown Fairness Metric
Authors: Stephen Gillen Christopher Jung Michael Kearns Aaron Roth
[242] Isolating Sources of Disentanglement in Variational Autoencoders
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[244] Representation Learning for Treatment Effect Estimation from Observational Data
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[245] Representation Balancing MDPs for Off-policy Policy Evaluation
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[246] Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
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[247] Causal Discovery from Discrete Data using Hidden Compact Representation
Authors: Ruichu Cai Jie Qiao Kun Zhang Zhenjie Zhang Zhifeng Hao
[248] Natasha 2: Faster Non-Convex Optimization Than SGD
Authors: Zeyuan Allen-Zhu
[249] Minimax Statistical Learning with Wasserstein distances
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[250] Provable Variational Inference for Constrained Log-Submodular Models
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[251] Learning Hierarchical Semantic Image Manipulation through Structured Representations
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[252] Processing of missing data by neural networks
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[253] Safe Active Learning for Time-Series Modeling with Gaussian Processes
Authors: Christoph Zimmer Mona Meister Duy Nguyen-Tuong
[254] Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
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[255] Computing Higher Order Derivatives of Matrix and Tensor Expressions
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[256] Paraphrasing Complex Network: Network Compression via Factor Transfer
Authors: Jangho Kim Seonguk Park Nojun Kwak
[257] Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net
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[258] Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation
Authors: Chaitanya Ryali Gautam Reddy Angela J. Yu
[259] Empirical Risk Minimization Under Fairness Constraints
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[260] Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Authors: Eldar Insafutdinov Alexey Dosovitskiy
[261] Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
Authors: Motoya Ohnishi Masahiro Yukawa Mikael Johansson Masashi Sugiyama
[262] Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation
Authors: Zhiqiang Xu
[263] Factored Bandits
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[264] Delta-encoder: an effective sample synthesis method for few-shot object recognition
Authors: Eli Schwartz Leonid Karlinsky Joseph Shtok Sivan Harary Mattias Marder Abhishek Kumar Rogerio Feris Raja Giryes Alex Bronstein
[265] Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
Authors: Isao Ishikawa Keisuke Fujii Masahiro Ikeda Yuka Hashimoto Yoshinobu Kawahara
[266] Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
Authors: Jie Cao Yibo Hu Hongwen Zhang Ran He Zhenan Sun
[267] Mirrored Langevin Dynamics
Authors: Ya-Ping Hsieh Ali Kavis Paul Rolland Volkan Cevher
[268] Moonshine: Distilling with Cheap Convolutions
Authors: Elliot J. Crowley Gavin Gray Amos J. Storkey
[269] Stochastic Cubic Regularization for Fast Nonconvex Optimization
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[270] Adaptation to Easy Data in Prediction with Limited Advice
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[271] Differentially Private Bayesian Inference for Exponential Families
Authors: Garrett Bernstein Daniel R. Sheldon
[272] Playing hard exploration games by watching YouTube
Authors: Yusuf Aytar Tobias Pfaff David Budden Thomas Paine Ziyu Wang Nando de Freitas
[273] Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
Authors: Daya Guo Duyu Tang Nan Duan Ming Zhou Jian Yin
[274] Norm-Ranging LSH for Maximum Inner Product Search
Authors: Xiao Yan Jinfeng Li Xinyan Dai Hongzhi Chen James Cheng
[275] Optimization over Continuous and Multi-dimensional Decisions with Observational Data
Authors: Dimitris Bertsimas Christopher McCord
[276] Fast Estimation of Causal Interactions using Wold Processes
Authors: Flavio Figueiredo Guilherme Resende Borges Pedro O.S. Vaz de Melo Renato Assunção
[277] When do random forests fail?
Authors: Cheng Tang Damien Garreau Ulrike von Luxburg
[278] Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
Authors: Ronan Fruit Matteo Pirotta Alessandro Lazaric
[279] Optimistic optimization of a Brownian
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[280] Practical Methods for Graph Two-Sample Testing
Authors: Debarghya Ghoshdastidar Ulrike von Luxburg
[281] NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
Authors: Marco Ciccone Marco Gallieri Jonathan Masci Christian Osendorfer Faustino Gomez
[282] On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport
Authors: Lénaïc Chizat Francis Bach
[283] Constructing Deep Neural Networks by Bayesian Network Structure Learning
Authors: Raanan Y. Rohekar Shami Nisimov Yaniv Gurwicz Guy Koren Gal Novik
[284] Weakly Supervised Dense Event Captioning in Videos
Authors: Xuguang Duan Wenbing Huang Chuang Gan Jingdong Wang Wenwu Zhu Junzhou Huang
[285] Faithful Inversion of Generative Models for Effective Amortized Inference
Authors: Stefan Webb Adam Golinski Rob Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank Wood
[286] From Stochastic Planning to Marginal MAP
Authors: Hao Cui Radu Marinescu Roni Khardon
[287] On Binary Classification in Extreme Regions
Authors: Hamid JALALZAI Stephan Clémençon Anne Sabourin
[288] Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models
Authors: Yining Wang Xi Chen Yuan Zhou
[289] Q-learning with Nearest Neighbors
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[290] Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Authors: Pan Xu Jinghui Chen Difan Zou Quanquan Gu
[291] Asymptotic optimality of adaptive importance sampling
Authors: François Portier Bernard Delyon
[292] Learning latent variable structured prediction models with Gaussian perturbations
Authors: Kevin Bello Jean Honorio
[293] The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
Authors: Jiantao Jiao Weihao Gao Yanjun Han
[294] Deep Reinforcement Learning of Marked Temporal Point Processes
Authors: Utkarsh Upadhyay Abir De Manuel Gomez Rodriguez
[295] Evidential Deep Learning to Quantify Classification Uncertainty
Authors: Murat Sensoy Lance Kaplan Melih Kandemir
[296] Parsimonious Bayesian deep networks
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[297] Single-Agent Policy Tree Search With Guarantees
Authors: Laurent Orseau Levi Lelis Tor Lattimore Theophane Weber
[298] Semi-crowdsourced Clustering with Deep Generative Models
Authors: Yucen Luo TIAN TIAN Jiaxin Shi Jun Zhu Bo Zhang
[299] The committee machine: Computational to statistical gaps in learning a two-layers neural network
Authors: Benjamin Aubin Antoine Maillard jean barbier Florent Krzakala Nicolas Macris Lenka Zdeborová
[300] Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
Authors: Avital Oliver Augustus Odena Colin A. Raffel Ekin Dogus Cubuk Ian Goodfellow
[301] Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward
Authors: Lixing Chen Jie Xu Zhuo Lu
[302] Training deep learning based denoisers without ground truth data
Authors: Shakarim Soltanayev Se Young Chun
[303] Re-evaluating evaluation
Authors: David Balduzzi Karl Tuyls Julien Perolat Thore Graepel
[304] Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres
Authors: Oisín Moran Piergiorgio Caramazza Daniele Faccio Roderick Murray-Smith
[305] Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
Authors: Tom Dupré la Tour Thomas Moreau Mainak Jas Alexandre Gramfort
[306] Data-Efficient Hierarchical Reinforcement Learning
Authors: Ofir Nachum Shixiang (Shane) Gu Honglak Lee Sergey Levine
[307] Speaker-Follower Models for Vision-and-Language Navigation
Authors: Daniel Fried Ronghang Hu Volkan Cirik Anna Rohrbach Jacob Andreas Louis-Philippe Morency Taylor Berg-Kirkpatrick Kate Saenko Dan Klein Trevor Darrell
[308] Inequity aversion improves cooperation in intertemporal social dilemmas
Authors: 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
[309] Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
Authors: David Reeb Andreas Doerr Sebastian Gerwinn Barbara Rakitsch
[310] Probabilistic Matrix Factorization for Automated Machine Learning
Authors: Nicolo Fusi Rishit Sheth Melih Elibol
[311] Stochastic Spectral and Conjugate Descent Methods
Authors: Dmitry Kovalev Peter Richtarik Eduard Gorbunov Elnur Gasanov
[312] Recurrent Relational Networks
Authors: Rasmus Palm Ulrich Paquet Ole Winther
[313] But How Does It Work in Theory? Linear SVM with Random Features
Authors: Yitong Sun Anna Gilbert Ambuj Tewari
[314] Learning to Optimize Tensor Programs
Authors: Tianqi Chen Lianmin Zheng Eddie Yan Ziheng Jiang Thierry Moreau Luis Ceze Carlos Guestrin Arvind Krishnamurthy
[315] Boosting Black Box Variational Inference
Authors: Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Raetsch
[316] Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Authors:
[317] Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
Authors: Sriram Srinivasan Marc Lanctot Vinicius Zambaldi Julien Perolat Karl Tuyls Remi Munos Michael Bowling
[318] Step Size Matters in Deep Learning
Authors: Kamil Nar Shankar Sastry
[319] Derivative Estimation in Random Design
Authors: Yu Liu Kris De Brabanter
[320] Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
Authors: Krishnakumar Balasubramanian Saeed Ghadimi
[321] Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments
Authors: Daniel Johnson Daniel Gorelik Ross E. Mawhorter Kyle Suver Weiqing Gu Steven Xing Cody Gabriel Peter Sankhagowit
[322] Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation
Authors: JING LI Rafal Mantiuk Junle Wang Suiyi Ling Patrick Le Callet
[323] Infinite-Horizon Gaussian Processes
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[324] Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
Authors: Minshuo Chen Lin Yang Mengdi Wang Tuo Zhao
[325] Sequence-to-Segment Networks for Segment Detection
Authors: Zijun Wei Boyu Wang Minh Hoai Nguyen Jianming Zhang Zhe Lin Xiaohui Shen Radomir Mech Dimitris Samaras
[326] Scaling the Poisson GLM to massive neural datasets through polynomial approximations
Authors: David Zoltowski Jonathan W. Pillow
[327] Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games
Authors: Yun Kuen Cheung
[328] Why Is My Classifier Discriminatory?
Authors: Irene Chen Fredrik D. Johansson David Sontag
[329] Multi-Layered Gradient Boosting Decision Trees
Authors: Ji Feng Yang Yu Zhi-Hua Zhou
[330] Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
Authors: Tom Zahavy Matan Haroush Nadav Merlis Daniel J. Mankowitz Shie Mannor
[331] Communication Efficient Parallel Algorithms for Optimization on Manifolds
Authors: Bayan Saparbayeva Michael Zhang Lizhen Lin
[332] Neural Code Comprehension: A Learnable Representation of Code Semantics
Authors: Tal Ben-Nun Alice Shoshana Jakobovits Torsten Hoefler
[333] Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
Authors: Jiecao Chen Qin Zhang Yuan Zhou
[334] BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
Authors: Maciej Zieba Piotr Semberecki Tarek El-Gaaly Tomasz Trzcinski
[335] Modern Neural Networks Generalize on Small Data Sets
Authors: Matthew Olson Abraham Wyner Richard Berk
[336] Escaping Saddle Points in Constrained Optimization
Authors: Aryan Mokhtari Asuman Ozdaglar Ali Jadbabaie
[337] Adversarial Attacks on Stochastic Bandits
Authors: Kwang-Sung Jun Lihong Li Yuzhe Ma Jerry Zhu
[338] Optimal Subsampling with Influence Functions
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[339] A Bandit Approach to Sequential Experimental Design with False Discovery Control
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[340] Equality of Opportunity in Classification: A Causal Approach
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[341] Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
Authors: Tianyi Liu Shiyang Li Jianping Shi Enlu Zhou Tuo Zhao
[342] Unsupervised Attention-guided Image-to-Image Translation
Authors: Youssef Alami Mejjati Christian Richardt James Tompkin Darren Cosker Kwang In Kim
[343] Inferring Networks From Random Walk-Based Node Similarities
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[344] NEON2: Finding Local Minima via First-Order Oracles
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[345] Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Authors: Sijia Liu Bhavya Kailkhura Pin-Yu Chen Paishun Ting Shiyu Chang Lisa Amini
[346] Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
Authors: Hippolyt Ritter Aleksandar Botev David Barber
[347] DeepProbLog: Neural Probabilistic Logic Programming
Authors: Robin Manhaeve Sebastijan Dumancic Angelika Kimmig Thomas Demeester Luc De Raedt
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Authors: Yi Zhou Zhe Wang Yingbin Liang
[349] Direct Estimation of Differences in Causal Graphs
Authors: Yuhao Wang Chandler Squires Anastasiya Belyaeva Caroline Uhler
[350] Sublinear Time Low-Rank Approximation of Distance Matrices
Authors: Ainesh Bakshi David Woodruff
[351] Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms
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[354] Acceleration through Optimistic No-Regret Dynamics
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[355] Lipschitz regularity of deep neural networks: analysis and efficient estimation
Authors: Aladin Virmaux Kevin Scaman
[356] Minimax Estimation of Neural Net Distance
Authors: Kaiyi Ji Yingbin Liang
[357] Leveraging the Exact Likelihood of Deep Latent Variable Models
Authors: Pierre-Alexandre Mattei Jes Frellsen
[358] Bipartite Stochastic Block Models with Tiny Clusters
Authors: Stefan Neumann
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Authors: Enzo Tartaglione Skjalg Lepsøy Attilio Fiandrotti Gianluca Francini
[360] Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization
Authors: Xiaoxuan Zhang Mingrui Liu Xun Zhou Tianbao Yang
[361] Direct Runge-Kutta Discretization Achieves Acceleration
Authors: Jingzhao Zhang Aryan Mokhtari Suvrit Sra Ali Jadbabaie
[362] Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
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[364] Faster Neural Networks Straight from JPEG
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[365] TopRank: A practical algorithm for online stochastic ranking
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[367] RetGK: Graph Kernels based on Return Probabilities of Random Walks
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[368] Deep Generative Markov State Models
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[370] Solving Non-smooth Constrained Programs with Lower Complexity than \mathcal{O}(1/\varepsilon): A Primal-Dual Homotopy Smoothing Approach
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[372] Unsupervised Learning of Object Landmarks through Conditional Image Generation
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[373] Probabilistic Neural Programmed Networks for Scene Generation
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[374] The streaming rollout of deep networks - towards fully model-parallel execution
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[379] Distributed Weight Consolidation: A Brain Segmentation Case Study
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[432] Adversarial Text Generation via Feature-Mover’s Distance
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[434] Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels
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[435] A Mathematical Model For Optimal Decisions In A Representative Democracy
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[437] Non-metric Similarity Graphs for Maximum Inner Product Search
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[438] Recurrently Controlled Recurrent Networks
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[440] Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
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[441] A Smoother Way to Train Structured Prediction Models
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[442] Context-dependent upper-confidence bounds for directed exploration
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[443] A Unified View of Piecewise Linear Neural Network Verification
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[444] Hierarchical Graph Representation Learning with Differentiable Pooling
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[445] Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates
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[446] Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces
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[447] Porcupine Neural Networks: Approximating Neural Network Landscapes
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[448] Fairness Through Computationally-Bounded Awareness
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[449] Adaptive Negative Curvature Descent with Applications in Non-convex Optimization
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[450] Is Q-Learning Provably Efficient?
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[452] Measures of distortion for machine learning
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[453] On the Local Minima of the Empirical Risk
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[454] Densely Connected Attention Propagation for Reading Comprehension
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[455] Bandit Learning with Positive Externalities
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[457] Efficient Neural Network Robustness Certification with General Activation Functions
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[458] Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
Authors: Zhewei Yao Amir Gholami Qi Lei Kurt Keutzer Michael W. Mahoney
[459] Neural Edit Operations for Biological Sequences
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[460] Objective and efficient inference for couplings in neuronal networks
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[461] Learning from Group Comparisons: Exploiting Higher Order Interactions
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[462] Supervising Unsupervised Learning
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[463] Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks
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[464] Adversarially Robust Generalization Requires More Data
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[465] Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
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[466] Practical exact algorithm for trembling-hand equilibrium refinements in games
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[467] LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
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[468] Scalable Robust Matrix Factorization with Nonconvex Loss
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[469] Power-law efficient neural codes provide general link between perceptual bias and discriminability
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[470] Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
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[471] Unsupervised Adversarial Invariance
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[472] Content preserving text generation with attribute controls
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[473] Multi-armed Bandits with Compensation
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[474] GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
Authors: Mingchao Yu Zhifeng Lin Krishna Narra Songze Li Youjie Li Nam Sung Kim Alexander Schwing Murali Annavaram Salman Avestimehr
[475] Learning in Games with Lossy Feedback
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[476] Scalable methods for 8-bit training of neural networks
Authors: Ron Banner Itay Hubara Elad Hoffer Daniel Soudry
[477] Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
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[478] Link Prediction Based on Graph Neural Networks
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[479] Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task
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[480] Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
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[481] ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
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[482] Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
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[483] Contour location via entropy reduction leveraging multiple information sources
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[485] Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning
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[488] Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression
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[516] Multimodal Generative Models for Scalable Weakly-Supervised Learning
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Authors: Richard Zhang Cedric Josz Somayeh Sojoudi Javad Lavaei
[518] Occam’s razor is insufficient to infer the preferences of irrational agents
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[520] Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity
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[532] Mental Sampling in Multimodal Representations
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[533] Adversarially Robust Optimization with Gaussian Processes
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[538] CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
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[539] Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence
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[548] Deep Generative Models for Distribution-Preserving Lossy Compression
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[555] Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
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由于博客长度限制，分为两篇列出---->第二篇
