NeurIPS 2016: all accepted papers

177 papers · page 1 of 2 · the most cited first · ← NeurIPS 2016

Improved deep metric learning with multi-class N-pair loss objective ↗Kihyuk Sohn1,240 citations
Deep ADMM-Net for compressive sensing MRI ↗Yan Yang, Jian Zhong Sun, Huibin Li et al.871 citations
Improved Variational Inference with Inverse Autoregressive Flow ↗Durk Kingma, Tim Salimans, Rafał Józefowicz et al.724 citations
Weight normalization: a simple reparameterization to accelerate training of deep neural networks ↗Tim Salimans, Diederik P. Kingma617 citations
Unifying count-based exploration and intrinsic motivation ↗Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski et al.612 citations
Diffusion-Convolutional Neural Networks ↗James R. Atwood, Don Towsley517 citations
Examples are not enough, learn to criticize! Criticism for Interpretability ↗Been Kim, Rajiv Khanna, Sanmi Koyejo499 citations
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. ↗Tri Gia Nguyen, Mir Rosenberg, Song Xia et al.419 citations
Dynamic Filter Networks ↗Xu Jia, Bert De Brabandere, Tinne Tuytelaars et al.315 citations
Temporal regularized matrix factorization for high-dimensional time series prediction ↗Hsiang‐Fu Yu, Nikhil Rao, Inderjit S. Dhillon306 citations
Residual networks behave like ensembles of relatively shallow networks ↗Andreas Veit, Michael J. Wilber, Serge Belongie300 citations
Regularization with stochastic transformations and perturbations for deep semi-supervised learning ↗Mehdi S. M. Sajjadi, Mehran Javanmardi, Tolga Taşdizen262 citations
Learning to poke by poking: experiential learning of intuitive physics ↗Pulkit Agrawal, Ashvin Nair, Pieter Abbeel et al.254 citations
Bayesian optimization with robust Bayesian neural networks ↗Jost Tobias Springenberg, Aaron Klein, Stefan Falkner et al.252 citations
Learning Transferrable Representations for Unsupervised Domain Adaptation ↗Ozan Şener, Hyun Oh Song, Ashutosh Saxena et al.226 citations
Supervised Learning with Tensor Networks ↗Edwin Miles Stoudenmire, David J. Schwab188 citations
Composing graphical models with neural networks for structured representations and fast inference ↗Matthew Johnson, David Duvenaud, Alexander B. Wiltschko et al.165 citations
30th Conference on Neural Information Processing Systems (NIPS 2016) ↗George Papamakarios, Iain Murray164 citations
Learning feed-forward one-shot learners ↗Luca Bertinetto, João F. Henriques, Jack Valmadre et al.163 citations
CNNpack: packing convolutional neural networks in the frequency domain ↗Yunhe Wang, Chang Xu, Shan You et al.144 citations
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences ↗Hongseok Namkoong, John C. Duchi131 citations
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation ↗Jianxu Chen, Lin Yang, Yizhe Zhang et al.113 citations
Fairness in learning: classic and contextual bandits ↗Matthew Joseph, Michael J. Kearns, Jamie Morgenstern et al.95 citations
Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization ↗Sashank Jakkam Reddi, Suvrit Sra, Barnabás Póczos et al.95 citations
Towards Conceptual Compression ↗Karol Gregor, Frederic Besse, Danilo Jimenez Rezende et al.95 citations
Stochastic online AUC maximization ↗Yiming Ying, Longyin Wen, Siwei Lyu94 citations
Deep Neural Networks with Inexact Matching for Person Re-Identification ↗Arulkumar Subramaniam, Moitreya Chatterjee, Anurag Mittal92 citations
Fast Algorithms for Robust PCA via Gradient Descent ↗Xinyang Yi, Dohyung Park, Yudong Chen et al.89 citations
Fast and Provably Good Seedings for k-Means ↗Olivier Bachem, Mario Lučić, Hamed Hassani et al.82 citations
Learning Deep Parsimonious Representations ↗Renjie Liao, Alexander Gerhard Schwing, Richard S. Zemel et al.78 citations
Bayesian intermittent demand forecasting for large inventories ↗Matthias Seeger, David Salinas, Valentín Flunkert72 citations
Reshaped Wirtinger Flow for Solving Quadratic System of Equations ↗Huishuai Zhang, Yingbin Liang69 citations
Backprop KF: learning discriminative deterministic state estimators ↗Tuomas Haarnoja, Anurag Ajay, Sergey Levine et al.68 citations
Learning from small sample sets by combining unsupervised meta-training with CNNs ↗Yu-Xiong Wang, Martial Hebert67 citations
Local similarity-aware deep feature embedding ↗Chen Huang, Chen Change Loy, Xiaoou Tang67 citations
Wasserstein Training of Restricted Boltzmann Machines ↗Grégoire Montavon, K. Robert Müller, Marco Cuturi65 citations
Showing versus doing: Teaching by demonstration ↗Mark K. Ho, Michael L. Littman, James MacGlashan et al.64 citations
Proximal Deep Structured Models ↗Shenlong Wang, Sanja Fidler, Raquel Urtasun60 citations
Without-Replacement Sampling for Stochastic Gradient Methods ↗Ohad Shamir60 citations
Learning Kernels with Random Features ↗Aman Sinha, John C. Duchi58 citations
Trading Bitcoin and Online Time Series Prediction ↗Muhammad Jehangir Amjad, Devavrat Shah57 citations
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations ↗Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva et al.56 citations
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach ↗Rémi Lam, Karen E. Willcox, David H. Wolpert53 citations
Bayesian optimization for automated model selection ↗Gustavo Malkomes, Charles Schaff, Roman Garnett48 citations
Causal meets Submodular: Subset Selection with Directed Information ↗Yuxun Zhou, Costas J. Spanos43 citations
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions ↗Yichen Wang, Nan Du, Rakshit Trivedi et al.41 citations
DeepMath - Deep Sequence Models for Premise Selection ↗Alexander A. Alemi, François Chollet, Geoffrey Irving et al.39 citations
Boosting with Abstention ↗Corinna Cortes, Giulia DeSalvo, Mehryar Mohri38 citations
High-Rank Matrix Completion and Clustering under Self-Expressive Models ↗Ehsan Elhamifar38 citations
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering ↗Dogyoon Song, Christina Lee, Yihua Li et al.36 citations
Fast Active Set Methods for Online Spike Inference from Calcium Imaging ↗Johannes H. Friedrich, Liam Paninski36 citations
Fast Distributed Submodular Cover: Public-Private Data Summarization ↗Baharan Mirzasoleiman, Morteza Zadimoghaddam, Amin Karbasi35 citations
Crowdsourced Clustering: Querying Edges vs Triangles ↗Ramya Korlakai Vinayak, Babak Hassibi33 citations
Strategic Attentive Writer for Learning Macro-Actions ↗Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero et al.33 citations
Tractable Operations for Arithmetic Circuits of Probabilistic Models ↗Yujia Shen, Arthur Choi, Adnan Y. Darwiche33 citations
Simple and Efficient Weighted Minwise Hashing ↗Anshumali Shrivastava31 citations
Architectural Complexity Measures of Recurrent Neural Networks ↗Saizheng Zhang, Yuhuai Wu, Tong Che et al.30 citations
Coordinate-wise power method ↗Qi Lei, Kai Zhong, Inderjit S. Dhillon30 citations
Normalized Spectral Map Synchronization ↗Yanyao Shen, Qixing Huang, Nathan Srebro et al.30 citations
DISCO Nets : DISsimilarity COefficients Networks ↗Diane Bouchacourt, Manish Kumar, Sebastian Nowozin29 citations
Multi-armed Bandits: Competing with Optimal Sequences ↗Zohar S. Karnin, Oren Anava29 citations
Adaptive Smoothed Online Multi-Task Learning ↗Keerthiram Murugesan, Hanxiao Liu, Jaime Carbonell et al.27 citations
Budgeted stream-based active learning via adaptive submodular maximization ↗Kaito Fujii, Hisashi Kashima27 citations
The Power of Optimization from Samples ↗Eric Balkanski, Aviad Rubinstein, Yaron Singer27 citations
Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information ↗Аlexander Shishkin, Anastasia Bezzubtseva, Alexey Valerievich Drutsa et al.26 citations
Fast and Flexible Monotonic Functions with Ensembles of Lattices ↗Mahdi Milani Fard, Kevin Robert Canini, Andrew Cotter et al.26 citations
Protein Contact Prediction from Amino Acid Co-Evolution Using Convolutional Networks for Graph-Valued Images ↗Vladimir Golkov, Marcin J. Skwark, Antonij Golkov et al.26 citations
Adaptive Concentration Inequalities for Sequential Decision Problems ↗Shengjia Zhao, Enze Zhou, Ashish Sabharwal et al.25 citations
Asynchronous Parallel Greedy Coordinate Descent ↗Yang You, Xiangru Lian, Ji Liu et al.25 citations
Large-Scale Price Optimization via Network Flow ↗Shinji Ito, Ryohei Fujimaki25 citations
Mixed Linear Regression with Multiple Components ↗Kai Zhong, Prateek Jain, Inderjit S. Dhillon24 citations
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling ↗Dehua Cheng, Richard Peng, Yan Liu et al.24 citations
Sublinear time orthogonal tensor decomposition ↗Zhao Song, David P. Woodruff, Huan Zhang24 citations
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation ↗Emmanuel A. Abbe, Colin Sandon23 citations
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition ↗Jinzhuo Wang, Wenmin Wang, Xiongtao Chen et al.23 citations
Incremental Variational Sparse Gaussian Process Regression ↗Ching-An Cheng, Byron Boots22 citations
Launch and Iterate: Reducing Prediction Churn ↗Mahdi Milani Fard, Quentin Cormier, Kevin Robert Canini et al.22 citations
Deep learning games ↗Dale Schuurmans, Martin Zinkevich19 citations
Learning Bayesian networks with ancestral constraints ↗Eunice Yuh-Jie Chen, Yujia Shen, Arthur Choi et al.19 citations
Object based scene representations using fisher scores of local subspace projections ↗Mandar Dixit, Nuno M. Vasconcelos19 citations
Supervised learning through the lens of compression ↗Ofir David, Shay Moran, Amir Yehudayoff19 citations
Deep Submodular Functions: Definitions and Learning ↗Brian Dolhansky, Jeff Bilmes18 citations
Differential Privacy without Sensitivity ↗Kentaro Minami, HItomi Arai, Issei Sato et al.18 citations
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition ↗Seyed Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes18 citations
Robust k-means: a Theoretical Revisit ↗Alexandros Georgogiannis18 citations
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale ↗Firas Abuzaid, Joseph K. Bradley, Feynman Liang et al.18 citations
Designing smoothing functions for improved worst-case competitive ratio in online optimization ↗Reza Eghbali, Maryam Fazel17 citations
Learning Sparse Gaussian Graphical Models with Overlapping Blocks ↗Mohammad Javad Hosseini, Su‐In Lee17 citations
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments ↗Ransalu Senanayake, Lionel Ott, Simon O’Callaghan et al.17 citations
Threshold Bandits, With and Without Censored Feedback ↗Jacob Abernethy, Kareem Amin, Ruihao Zhu17 citations
A state-space model of cross-region dynamic connectivity in MEG/EEG ↗Ying Yang, Elissa Aminoff, Michael J. Tarr et al.16 citations
Nearly Isometric Embedding by Relaxation ↗James M. McQueen, Marina Meilă, Dominique Perrault-Joncas15 citations
Stochastic Gradient Geodesic MCMC Methods ↗Chang Liu, Jun Zhu, Yang Song15 citations
Assortment Optimization Under the Mallows model ↗Antoine Désir, Vineet Goyal, Srikanth Jagabathula et al.14 citations
Optimistic bandit convex optimization ↗Scott Cheng‐Hsin Yang, Mehryar Mohri14 citations
Statistical Inference for Pairwise Graphical Models Using Score Matching ↗Ming Yu, Mladen Kolar, Varun Gupta14 citations
A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control ↗Ivan Herreros, Xerxes D. Arsiwalla, Paul F. M. J. Verschure12 citations
Semiparametric Differential Graph Models ↗Pan Xu, Quanquan Gu12 citations
The Power of Adaptivity in Identifying Statistical Alternatives ↗Kevin Jamieson, Daniel Haas, Benjamin Recht12 citations
Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random ↗Ilya Shpitser11 citations

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📰 NeurIPS 2016: all accepted papers

NeurIPS 2016: all accepted papers