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OSCaR: Orthogonal Subspace Correction and Rectification of Biases in
  Word Embeddings

OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings

30 June 2020
Sunipa Dev
Tao Li
J. M. Phillips
Vivek Srikumar
ArXivPDFHTML

Papers citing "OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings"

15 / 15 papers shown
Title
A Survey on Fairness in Large Language Models
A Survey on Fairness in Large Language Models
Yingji Li
Mengnan Du
Rui Song
Xin Wang
Ying Wang
ALM
52
60
0
20 Aug 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
53
27
0
04 Jul 2023
LEACE: Perfect linear concept erasure in closed form
LEACE: Perfect linear concept erasure in closed form
Nora Belrose
David Schneider-Joseph
Shauli Ravfogel
Ryan Cotterell
Edward Raff
Stella Biderman
KELM
MU
41
102
0
06 Jun 2023
Having Beer after Prayer? Measuring Cultural Bias in Large Language
  Models
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
Tarek Naous
Michael Joseph Ryan
Alan Ritter
Wei Xu
37
86
0
23 May 2023
Better Hit the Nail on the Head than Beat around the Bush: Removing
  Protected Attributes with a Single Projection
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection
P. Haghighatkhah
Antske Fokkens
Pia Sommerauer
Bettina Speckmann
Kevin Verbeek
32
10
0
08 Dec 2022
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias
  Benchmarks
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks
Nikil Selvam
Sunipa Dev
Daniel Khashabi
Tushar Khot
Kai-Wei Chang
ALM
26
25
0
18 Oct 2022
Log-linear Guardedness and its Implications
Log-linear Guardedness and its Implications
Shauli Ravfogel
Yoav Goldberg
Ryan Cotterell
28
2
0
18 Oct 2022
Sentiment is all you need to win US Presidential elections
Sentiment is all you need to win US Presidential elections
Sovesh Mohapatra
Somesh Mohapatra
29
1
0
27 Sep 2022
Speciesist Language and Nonhuman Animal Bias in English Masked Language
  Models
Speciesist Language and Nonhuman Animal Bias in English Masked Language Models
Masashi Takeshita
Rafal Rzepka
K. Araki
34
6
0
10 Mar 2022
Learning Fair Representations via Rate-Distortion Maximization
Learning Fair Representations via Rate-Distortion Maximization
Somnath Basu Roy Chowdhury
Snigdha Chaturvedi
FaML
8
14
0
31 Jan 2022
Linear Adversarial Concept Erasure
Linear Adversarial Concept Erasure
Shauli Ravfogel
Michael Twiton
Yoav Goldberg
Ryan Cotterell
KELM
84
57
0
28 Jan 2022
Harms of Gender Exclusivity and Challenges in Non-Binary Representation
  in Language Technologies
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
Sunipa Dev
Masoud Monajatipoor
Anaelia Ovalle
Arjun Subramonian
J. M. Phillips
Kai-Wei Chang
39
164
0
27 Aug 2021
On Measures of Biases and Harms in NLP
On Measures of Biases and Harms in NLP
Sunipa Dev
Emily Sheng
Jieyu Zhao
Aubrie Amstutz
Jiao Sun
...
M. Sanseverino
Jiin Kim
Akihiro Nishi
Nanyun Peng
Kai-Wei Chang
31
80
0
07 Aug 2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word
  Representations
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
Archit Rathore
Sunipa Dev
J. M. Phillips
Vivek Srikumar
Yan Zheng
Chin-Chia Michael Yeh
Junpeng Wang
Wei Zhang
Bei Wang
40
10
0
06 Apr 2021
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
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