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Publication search results
found 1,184 matches
- 2021
- Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu:
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework. ICML 2021: 10717-10726 - Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich:
Consensus Control for Decentralized Deep Learning. ICML 2021: 5686-5696 - Abhishek Kumar, Sunabha Chatterjee, Piyush Rai:
Bayesian Structural Adaptation for Continual Learning. ICML 2021: 5850-5860 - Xueyu Mao, Deepayan Chakrabarti, Purnamrita Sarkar:
Consistent Nonparametric Methods for Network Assisted Covariate Estimation. ICML 2021: 7435-7446 - Alexander Levine, Soheil Feizi:
Improved, Deterministic Smoothing for L1 Certified Robustness. ICML 2021: 6254-6264 - João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
Explanations for Monotonic Classifiers. ICML 2021: 7469-7479 - Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy:
Diffusion Earth Mover's Distance and Distribution Embeddings. ICML 2021: 10336-10346 - András György, Pooria Joulani:
Adapting to Delays and Data in Adversarial Multi-Armed Bandits. ICML 2021: 3988-3997 - Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr:
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021: 4150-4159 - Ehsan Kazemi, Shervin Minaee, Moran Feldman, Amin Karbasi:
Regularized Submodular Maximization at Scale. ICML 2021: 5356-5366 - Ben Chamberlain, James Rowbottom, Maria I. Gorinova, Michael M. Bronstein, Stefan Webb, Emanuele Rossi:
GRAND: Graph Neural Diffusion. ICML 2021: 1407-1418 - Soumya Basu, Karthik Abinav Sankararaman, Abishek Sankararaman:
Beyond log2(T) regret for decentralized bandits in matching markets. ICML 2021: 705-715 - Geng Ji, Debora Sujono, Erik B. Sudderth:
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference. ICML 2021: 4870-4881 - Zhongjie Yu, Fabrizio Ventola, Kristian Kersting:
Whittle Networks: A Deep Likelihood Model for Time Series. ICML 2021: 12177-12186 - Rong Yin, Yong Liu, Weiping Wang, Dan Meng:
Distributed Nyström Kernel Learning with Communications. ICML 2021: 12019-12028 - Shi Li, Jiayi Xian:
Online Unrelated Machine Load Balancing with Predictions Revisited. ICML 2021: 6523-6532 - Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC. ICML 2021: 11820-11829 - Wenbo Gong, Kaibo Zhang, Yingzhen Li, José Miguel Hernández-Lobato:
Active Slices for Sliced Stein Discrepancy. ICML 2021: 3766-3776 - Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh:
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. ICML 2021: 11319-11328 - Sahil Singla, Soheil Feizi:
Skew Orthogonal Convolutions. ICML 2021: 9756-9766 - Mark Sandler, Max Vladymyrov, Andrey Zhmoginov, Nolan Miller, Tom Madams, Andrew Jackson, Blaise Agüera y Arcas:
Meta-Learning Bidirectional Update Rules. ICML 2021: 9288-9300 - Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing:
Adversarial Policy Learning in Two-player Competitive Games. ICML 2021: 3910-3919 - Chengyi Wang, Yu Wu, Yao Qian, Ken'ichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang:
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data. ICML 2021: 10937-10947 - Zhao Song, David P. Woodruff, Zheng Yu, Lichen Zhang:
Fast Sketching of Polynomial Kernels of Polynomial Degree. ICML 2021: 9812-9823 - Zhao Song, Zheng Yu:
Oblivious Sketching-based Central Path Method for Linear Programming. ICML 2021: 9835-9847 - Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui:
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning. ICML 2021: 7057-7066 - Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama:
Large-Margin Contrastive Learning with Distance Polarization Regularizer. ICML 2021: 1673-1683 - Michael Chang, Sidhant Kaushik, Sergey Levine, Tom Griffiths:
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment. ICML 2021: 1452-1462 - Dian Chen, Hongxin Hu, Qian Wang, Yinli Li, Cong Wang, Chao Shen, Qi Li:
CARTL: Cooperative Adversarially-Robust Transfer Learning. ICML 2021: 1640-1650 - Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim:
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. ICML 2021: 6120-6130
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