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20172021
most citedNo Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data

39 citations · 221 across the 21 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.CL2019★ 3 cited

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Guanhua Zhang, Bing Bai, Jian Liang +5

Natural Language Sentence Matching (NLSM) has gained substantial attention from both academics and the industry, and rich public datasets contribute a lot to this process. However,…

stat.ML2019★ 2 cited

Additive Adversarial Learning for Unbiased Authentication

Jian Liang, Yuren Cao, Chenbin Zhang +3

Authentication is a task aiming to confirm the truth between data instances and personal identities. Typical authentication applications include face recognition, person re-identif…