Publication PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu ICLR 2022 | April 2022
Publication On the Connection between Local Attention and Dynamic Depth-wise Convolution Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang ICLR 2022 | April 2022
Publication Modular Lifelong Reinforcement Learning via Neural Composition Jorge A. Mendez, Harm van Seijen, Eric Eaton ICLR 2022 | April 2022
Publication Missingness Bias in Model Debugging Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry ICLR 2022 | April 2022
Publication GNN is a Counter? Revisiting GNN for Question Answering Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin ICLR 2022 | April 2022
Publication DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu ICLR 2022 | April 2022
Publication Learning to Complete Code with Sketches Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltos Allamanis ICLR 2022 | April 2022 Projet Projet
Publication Sampling with Mirrored Stein Operators Jiaxin Shi, Chang Liu, Lester Mackey ICLR 2022 | April 2022
Publication Efficient and optimal algorithms for contextual dueling bandits under realizability Akshay Krishnamurthy, Aadirupa Saha International Conference on Algorithmic Learning Theory | April 2022
Publication BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernández-Lobato, Ting Chen Proceedings of the ACM Web Conference | April 2022