Publication PRO: Patch-level Rendering and Optimization for Infinite Visual Synthesis Chenfei Wu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Nan Duan October 2022
Publication Sparse Gaussian Process Hyperparameters: Optimize or Integrate? Wessel Bruinsma October 2022
Publication You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection Jiangxin Sun, Chunyu Wang, Huang Hu, Hanjiang Lai, Zhi Jin, Jian-Fang Hu October 2022
Publication Could Giant Pre-trained Image Models Extract Universal Representations? Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao October 2022
Publication COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor International Conference on Intelligent Robots and Systems | October 2022 Github
Publication Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI Q. Vera Liao, Yunfeng Zhang, Ronny Luss, Finale Doshi-Velez, Amit Dhurandhar AAAI Conference on Human Computation and Crowdsourcing | October 2022 Best Paper Award, Honorable Mention Projet
Publication Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres Data & Policy | October 2022, Vol 4 Projet
Publication An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | October 2022