• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 1,899 matches

• 2020
• 
  Chaoyang He, Murali Annavaram, Salman Avestimehr:
  Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. NeurIPS 2020
• 
  Sriram Sankaranarayanan, Yi Chou, Eric Goubault, Sylvie Putot:
  Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms. NeurIPS 2020
• 
  Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane S. Boning, Cho-Jui Hsieh:
  Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations. NeurIPS 2020
• 
  Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei:
  Towards More Practical Adversarial Attacks on Graph Neural Networks. NeurIPS 2020
• 
  Adil Khan, Khadija Fraz:
  Post-training Iterative Hierarchical Data Augmentation for Deep Networks. NeurIPS 2020
• 
  Alexander Levine, Soheil Feizi:
  (De)Randomized Smoothing for Certifiable Defense against Patch Attacks. NeurIPS 2020
• 
  Ruoyu Sun, Tiantian Fang, Alexander G. Schwing:
  Towards a Better Global Loss Landscape of GANs. NeurIPS 2020
• 
  João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
  Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay. NeurIPS 2020
• 
  Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, N. V. Vinodchandran:
  Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning. NeurIPS 2020
• 
  Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Qingsong Liu, Clark Glymour:
  Domain Adaptation as a Problem of Inference on Graphical Models. NeurIPS 2020
• 
  Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett:
  Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. NeurIPS 2020
• 
  Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine:
  Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS 2020
• 
  Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai Nguyen:
  Distribution Matching for Crowd Counting. NeurIPS 2020
• 
  Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz:
  Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. NeurIPS 2020
• 
  Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
  Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach. NeurIPS 2020
• 
  Ziyu Wang, Alexander Novikov, Konrad Zolna, Josh Merel, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas:
  Critic Regularized Regression. NeurIPS 2020
• 
  David Chiang, Darcey Riley:
  Factor Graph Grammars. NeurIPS 2020
• 
  Christopher Morris, Gaurav Rattan, Petra Mutzel:
  Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings. NeurIPS 2020
• 
  Zachary Brown, Nathaniel R. Robinson, David Wingate, Nancy Fulda:
  Towards Neural Programming Interfaces. NeurIPS 2020
• 
  Abhinav Agrawal, Daniel Sheldon, Justin Domke:
  Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization. NeurIPS 2020
• 
  Ruilin Xu, Rundi Wu, Yuko Ishiwaka, Carl Vondrick, Changxi Zheng:
  Listening to Sounds of Silence for Speech Denoising. NeurIPS 2020
• 
  Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu:
  Parametric Instance Classification for Unsupervised Visual Feature learning. NeurIPS 2020
• 
  Jerry Li, Guanghao Ye:
  Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time. NeurIPS 2020
• 
  Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang:
  Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. NeurIPS 2020
• 
  Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang:
  On Correctness of Automatic Differentiation for Non-Differentiable Functions. NeurIPS 2020
• 
  Chaoyue Liu, Libin Zhu, Mikhail Belkin:
  On the linearity of large non-linear models: when and why the tangent kernel is constant. NeurIPS 2020
• 
  Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar:
  Robust large-margin learning in hyperbolic space. NeurIPS 2020
• 
  Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu:
  Field-wise Learning for Multi-field Categorical Data. NeurIPS 2020
• 
  Johan Larsson, Malgorzata Bogdan, Jonas Wallin:
  The Strong Screening Rule for SLOPE. NeurIPS 2020
• 
  Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon:
  Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation. NeurIPS 2020