Publication Finding k in Latent k-polytope Chiranjib Bhattacharyya, Ravi Kannan, Amit Kumar 2021 International Conference on Machine Learning | July 2021
Publication EL-Attention: Memory Efficient Lossless Attention for Generation Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang 2021 International Conference on Machine Learning | July 2021
Publication ChaCha for Online AutoML Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi 2021 International Conference on Machine Learning (ICML 2021) | July 2021 Vidéo Github Projet
Publication Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak 2021 International Conference on Machine Learning (ICML 2021) | July 2021 Projet
Publication Temporally Correlated Task Scheduling for Sequence Learning Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu 2021 International Conference on Machine Learning | July 2021 Projet
Publication Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition Shengyang Sun, Jiaxin Shi, Andrew Wilson, Roger Grosse 2021 International Conference on Machine Learning | July 2021
Publication Off-Policy Confidence Sequences Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas 2021 International Conference on Machine Learning | July 2021
Publication Neural Pharmacodynamic State Space Modeling Zeshan Hussain, Rahul Gopal Krishnan, David Sontag 2021 International Conference on Machine Learning | July 2021
Publication Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning Luisa Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson 2021 International Conference on Machine Learning | July 2021
Publication Dataset Dynamics via Gradient Flows in Probability Space David Alvarez-Melis, Nicolo Fusi ICML 2021 | July 2021