152 citations · 181 across the 11 of their papers we have counts for
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cs.LG2022★ 152 cited
Twin Contrastive Learning for Online Clustering
Yunfan Li, Mouxing Yang, Dezhong Peng +3
This paper proposes to perform online clustering by conducting twin contrastive learning (TCL) at the instance and cluster level. Specifically, we find that when the data is projec…
cs.LG2022★ 1 cited
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
Pengxin Zeng, Yunfan Li, Peng Hu +3
Fair clustering aims to divide data into distinct clusters while preventing sensitive attributes (\textit{e.g.}, gender, race, RNA sequencing technique) from dominating the cluster…
cs.CL2022★ 6 cited
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification
Tianyi Lei, Honghui Hu, Qiaoyang Luo +2
Few-shot text classification aims to classify the text under the few-shot scenario. Most of the previous methods adopt optimization-based meta learning to obtain task distribution.…