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Publication search results
found 2,835 matches
- 2022
- Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer:
Masked Autoencoders that Listen. NeurIPS 2022 - Rong Yin, Yong Liu, Weiping Wang, Dan Meng:
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means. NeurIPS 2022 - Xingyu Zhou, Bo Ji:
On Kernelized Multi-Armed Bandits with Constraints. NeurIPS 2022 - Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann:
Contact-aware Human Motion Forecasting. NeurIPS 2022 - Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans:
A Simple Decentralized Cross-Entropy Method. NeurIPS 2022 - Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang:
Amplifying Membership Exposure via Data Poisoning. NeurIPS 2022 - Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Pareto Set Learning for Expensive Multi-Objective Optimization. NeurIPS 2022 - Yiping Lu, José H. Blanchet, Lexing Ying:
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent. NeurIPS 2022 - Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Lin, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang:
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. NeurIPS 2022 - Sanghyun Hong, Nicholas Carlini, Alexey Kurakin:
Handcrafted Backdoors in Deep Neural Networks. NeurIPS 2022 - Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng:
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS 2022 - Arnab Bhattacharyya, Clément L. Canonne, Joy Qiping Yang:
Independence Testing for Bounded Degree Bayesian Networks. NeurIPS 2022 - Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani:
PAC Prediction Sets for Meta-Learning. NeurIPS 2022 - Thomas Chau, Lukasz Dudziak, Hongkai Wen, Nicholas D. Lane, Mohamed S. Abdelfattah:
BLOX: Macro Neural Architecture Search Benchmark and Algorithms. NeurIPS 2022 - Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley:
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization. NeurIPS 2022 - Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind:
GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS 2022 - Ankit Gupta, Albert Gu, Jonathan Berant:
Diagonal State Spaces are as Effective as Structured State Spaces. NeurIPS 2022 - Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jie Zhou, Jiwen Lu:
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression. NeurIPS 2022 - Huafeng Liu, Liping Jing:
Amortized Mixing Coupling Processes for Clustering. NeurIPS 2022 - Shiqiang Wang, Mingyue Ji:
A Unified Analysis of Federated Learning with Arbitrary Client Participation. NeurIPS 2022 - Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel:
GriddlyJS: A Web IDE for Reinforcement Learning. NeurIPS 2022 - Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu:
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. NeurIPS 2022 - Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Linear Label Ranking with Bounded Noise. NeurIPS 2022 - Chris Lu, Jakub Grudzien Kuba, Alistair Letcher, Luke Metz, Christian Schröder de Witt, Jakob N. Foerster:
Discovered Policy Optimisation. NeurIPS 2022 - Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos:
Perfect Sampling from Pairwise Comparisons. NeurIPS 2022 - Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo:
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models. NeurIPS 2022 - Zihao Wang, Liu Ziyin:
Posterior Collapse of a Linear Latent Variable Model. NeurIPS 2022 - Giulia Bernardini, Alexander Lindermayr, Alberto Marchetti-Spaccamela, Nicole Megow, Leen Stougie, Michelle Sweering:
A Universal Error Measure for Input Predictions Applied to Online Graph Problems. NeurIPS 2022 - Haris Aziz, Alexander Lam, Mashbat Suzuki, Toby Walsh:
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism. NeurIPS 2022 - Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter:
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS 2022
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