Hoi, Steven Chu Hong

6 publications

NeurIPS 2022 CodeRL: Mastering Code Generation Through Pretrained Models and Deep Reinforcement Learning Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu Hong Hoi

NeurIPS 2021 A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu Hong Hoi

NeurIPS 2021 Align Before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, Steven Chu Hong Hoi

ICCVW 2021 VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo

NeurIPS 2020 Theory-Inspired Path-Regularized Differential Network Architecture Search Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu Hong Hoi

NeurIPS 2020 Towards Theoretically Understanding Why SGD Generalizes Better than Adam in Deep Learning Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu Hong Hoi, Weinan E