Nils Bjorck, Carla Gomes, Kilian Weinberger

Keywords Abstract Paper

reinforcement learning and planning, vision, language

Hanbo Zhang, Site Bai, Xuguang Lan and

David Hsu, Nanning Zheng

Keywords Abstract Paper

Machine Learning, Deep Reinforcement Learning, Reinforcement Learning

Nicklas Hansen, Hao Su, Xiaolong Wang

Keywords Abstract Paper

reinforcement learning and planning, transformers

Elena Smirnova, Elvis Dohmatob

Keywords Abstract Paper

Lin Ning, Guoyang Chen, Weifeng Zhang, Xipeng Shen

Keywords Abstract Paper

DNN, augmented deep reinforcement learning, mixed precision, Quantization, Reinforcement Learning

Ling Pan, Tabish Rashid, Bei Peng and

Longbo Huang, Shimon Whiteson

Keywords Abstract Paper

reinforcement learning and planning

Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan

Keywords Abstract Paper

vision, convolutional networks, cnns, efficient inference, sparsity, mobile, edge, tensorflow, xnnpack

Yinuo Guo, Hualei Zhu, Zeqi Lin and

Bei Chen, Jian-Guang Lou, Dongmei Zhang

Keywords Abstract Paper

Sébastien M. R. Arnold, Shariq Iqbal, Fei Sha

Keywords Abstract Paper

Amit Dhurandhar, Karthikeyan Shanmugam, Ronny Luss

Keywords Abstract Paper

Supervised Learning

Nino Vieillard, Tadashi Kozuno, Bruno Scherrer and

Olivier Pietquin, Remi Munos, Matthieu Geist

Keywords Abstract Paper

Gergely Neu, Ciara Pike-Burke

Keywords Abstract Paper

Junhong Shen, Lin F. Yang

Keywords Abstract Paper

Yayi Zou, Xiaoqi Lu

Keywords Abstract Paper

Ted Moskovitz, Jack Parker-Holder, Aldo Pacchiano and

Michael Arbel, Michael Jordan

Keywords Abstract Paper

reinforcement learning and planning, bandits

Haoxiang Wang, Han Zhao, Bo Li

Keywords Abstract Paper

Algorithms, Multitask, Transfer, and Meta Learning

Misha Laskin, Kimin Lee, Adam Stooke and

Lerrel Pinto, Pieter Abbeel, Aravind Srinivas

Keywords Abstract Paper

Jovana Mitrovic, Brian McWilliams, Jacob C Walker and

Lars Buesing, Charles Blundell

Keywords Abstract Paper

Self-supervised Learning, Representation Learning, Causality, Contrastive Methods

Yuning Mao, Yanru Qu, Yiqing Xie and

Xiang Ren, Jiawei Han

Keywords Abstract Paper

single-document summarization, single-document sds, multi-document summarization, multi-document mds

Roberta Raileanu, Maxwell Goldstein, Denis Yarats and

Ilya Kostrikov, Rob Fergus

Keywords Abstract Paper

reinforcement learning and planning, machine learning

Jihun Yun, Aurelie Lozano, Eunho Yang

Keywords Abstract Paper

deep learning, optimization, machine learning

Sven Gowal, Chongli Qin, Po-Sen Huang and

Taylan Cemgil, Krishnamurthy Dvijotham, Timothy Mann, Pushmeet Kohli

Keywords Abstract Paper

real-world robustness, adversarial examples, disentangled latents, generative models, spurious correlations

Risheng Liu, Pan Mu, Xiaoming Yuan and

Shangzhi Zeng, Jin Zhang

Keywords Abstract Paper

Optimization - Non-convex

Sean Sinclair, Tianyu Wang, Gauri Jain and

Sid Banerjee, Christina Yu

Keywords Abstract Paper

Corinna Cortes, Mehryar Mohri, Dmitry Storcheus, Ananda Theertha Suresh

Keywords Abstract Paper

federated learning

Xiaosen Wang, Jiadong Lin, Han Hu and

Jingdong Wang, Kun He

Keywords Abstract Paper

adversarial transferability, adversarial attack, adversarial examples, optimization

Akira Terauchi, Naoki Mori

Keywords Abstract Paper

Guoqing Liu, Chuheng Zhang, Li Zhao and

Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu

Keywords Abstract Paper

reinforcement learning, auxiliary task, contrastive learning, representation learning

Jan Stuehmer, Richard Turner, Sebastian Nowozin

Keywords Abstract Paper

Fuchao Wei, Chenglong Bao, Yang Liu

Keywords Abstract Paper

theory, deep learning, optimization, machine learning, vision

Andres Potapczynski, Luhuan Wu, Dan Biderman and

Geoff Pleiss, John Cunningham

Keywords Abstract Paper

Probabilistic Methods, Gaussian Processes and Bayesian non-parametrics

Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto

Keywords Abstract Paper

Nemanja Djuric, Zhuang Wang, Slobodan Vucetic

Keywords Abstract Paper

Supervised Learning

Jaesik Yoon, Gautam Singh, Sungjin Ahn

Keywords Abstract Paper

Sequential, Network, and Time-Series Modeling

Pooya Moradi, Nishant Kambhatla, Anoop Sarkar

Keywords Abstract Paper

Guihong Wan, Haim Schweitzer

Keywords Abstract Paper

Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang

Keywords Abstract Paper

reinforcement learning and planning

Rong Zhu, Mattia Rigotti

Keywords Abstract Paper

Lu Wang, Xuanqing Liu, Jinfeng Yi and

Yuan Jiang, Cho-Jui Hsieh

Keywords Abstract Paper

Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi

Keywords Abstract Paper

Accountability, Transparency and Interpretability