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Conditional Supervised Contrastive Learning for Fair Text Classification

Conditional Supervised Contrastive Learning for Fair Text Classification

23 May 2022
Jianfeng Chi
Will Shand
Yaodong Yu
Kai-Wei Chang
Han Zhao
Yuan Tian
    FaML
ArXivPDFHTML

Papers citing "Conditional Supervised Contrastive Learning for Fair Text Classification"

11 / 11 papers shown
Title
A Contrastive Learning Approach to Mitigate Bias in Speech Models
A Contrastive Learning Approach to Mitigate Bias in Speech Models
Alkis Koudounas
F. Giobergia
Eliana Pastor
Elena Baralis
39
1
0
20 Jun 2024
HateDebias: On the Diversity and Variability of Hate Speech Debiasing
HateDebias: On the Diversity and Variability of Hate Speech Debiasing
Nankai Lin
Hongyan Wu
Zhengming Chen
Zijian Li
Lianxi Wang
Shengyi Jiang
Dong Zhou
Aimin Yang
28
0
0
07 Jun 2024
Learning Label Hierarchy with Supervised Contrastive Learning
Learning Label Hierarchy with Supervised Contrastive Learning
Ruixue Lian
W. Sethares
Junjie Hu
27
1
0
31 Jan 2024
A Novel Information-Theoretic Objective to Disentangle Representations
  for Fair Classification
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification
Pierre Colombo
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
FaML
DRL
30
1
0
21 Oct 2023
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A
  Two-Stage Approach to Mitigate Social Biases
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases
Yingji Li
Mengnan Du
Xin Wang
Ying Wang
45
26
0
04 Jul 2023
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Paul Pu Liang
Zihao Deng
Martin Q. Ma
James Y. Zou
Louis-Philippe Morency
Ruslan Salakhutdinov
SSL
24
49
0
08 Jun 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
21
5
0
11 Feb 2023
Erasure of Unaligned Attributes from Neural Representations
Erasure of Unaligned Attributes from Neural Representations
Shun Shao
Yftah Ziser
Shay B. Cohen
12
9
0
06 Feb 2023
MABEL: Attenuating Gender Bias using Textual Entailment Data
MABEL: Attenuating Gender Bias using Textual Entailment Data
Jacqueline He
Mengzhou Xia
C. Fellbaum
Danqi Chen
19
32
0
26 Oct 2022
Contrastive Learning for Fair Representations
Contrastive Learning for Fair Representations
Aili Shen
Xudong Han
Trevor Cohn
Timothy Baldwin
Lea Frermann
FaML
34
33
0
22 Sep 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
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