출판 Distribution Inference Risks: Identifying and Mitigating Sources of Leakage Valentin Hartmann, Leo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West IEEE Conference on Secure and Trustworthy Machine Learning (SatML) | February 2023 프로젝트 프로젝트
출판 Revisiting Code Search in a Two-Stage Paradigm Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Shi Han, Dongmei Zhang ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
출판 Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen ICML 2023 | February 2023
출판 Challenging but Connective: Large-Scale Characteristics of Synchronous Collaboration Across Time Zones Lillio Mok, Lu Sun, Shilad Sen, Bahar Sarrafzadeh CHI Conference on Human Factors in Computing Systems | February 2023 프로젝트
출판 Towards Inference Efficient Deep Ensemble Learning Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li AAAI 23 | February 2023
출판 Width and Depth Limits Commute in Residual Networks Soufiane Hayou, Greg Yang ICML 2023 | February 2023
출판 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian AAAI 2023 | February 2023
출판 Scalable Adversarial Attack Algorithms on Influence Maximization Lichao Sun, Xiaobin Rui, Wei Chen Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
출판 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang AAAI 2023 | February 2023
출판 MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023