Three papers accepted to ICLR 2023
Three works in my group and with collaborators are accepted to ICLR 2023: Zixuan Liu, Ziqiao Wang, Hongyu Guo and Yongyi Mao, “Over-Training with Mixup Hurts Generalization” Ziqiao Wang and Yongyi Mao, “Information-Theoretic Analysis of Unsupervised Domain Adaptation”. Zhijie Nie, Richong Zhang and Yongyi Mao, “On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations”.
Three papers accepted to ICLR 2023 Three works in my group and with collaborators are accepted to ICLR 2023: Zixuan Liu, Ziqiao Wang, Hongyu Guo and Yongyi Mao, “Over-Training with Mixup Hurts Generalization” Ziqiao Wang and Yongyi Mao, “Information-Theoretic Analysis of Unsupervised Domain Adaptation”. Zhijie Nie, Richong Zhang and Yongyi Mao, “On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations”. deep-learning
Three paper accepted ICLR 2023 Three work group collaborator accepted ICLR 2023 Zixuan Liu Ziqiao Wang Hongyu Guo Yongyi Mao “OverTraining Mixup Hurts Generalization” Ziqiao Wang Yongyi Mao “InformationTheoretic Analysis Unsupervised Domain Adaptation” Zhijie Nie Richong Zhang Yongyi Mao “On Inadequacy Optimizing Alignment Uniformity Contrastive Learning Sentence Representations” deeplearning