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Learning Fair Representations via Rate-Distortion Maximization
31 January 2022
Somnath Basu Roy Chowdhury
Snigdha Chaturvedi
FaML
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Papers citing
"Learning Fair Representations via Rate-Distortion Maximization"
27 / 27 papers shown
Title
Exploring Safety-Utility Trade-Offs in Personalized Language Models
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Evaluating Debiasing Techniques for Intersectional Biases
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Xudong Han
Timothy Baldwin
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Lea Frermann
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Adversarial Scrubbing of Demographic Information for Text Classification
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Sayan Ghosh
Yiyuan Li
Junier B. Oliva
Shashank Srivastava
Snigdha Chaturvedi
68
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17 Sep 2021
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
Sunipa Dev
Tao Li
J. M. Phillips
Vivek Srikumar
68
55
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30 Jun 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Yaodong Yu
Kwan Ho Ryan Chan
Chong You
Chaobing Song
Yi-An Ma
SSL
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197
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15 Jun 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
Shauli Ravfogel
Yanai Elazar
Hila Gonen
Michael Twiton
Yoav Goldberg
138
388
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16 Apr 2020
Information-Theoretic Probing with Minimum Description Length
Elena Voita
Ivan Titov
87
276
0
27 Mar 2020
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
571
4,368
0
23 Aug 2019
Inherent Tradeoffs in Learning Fair Representations
Han Zhao
Geoffrey J. Gordon
FaML
55
217
0
19 Jun 2019
A Rate-Distortion Framework for Explaining Neural Network Decisions
Jan Macdonald
S. Wäldchen
Sascha Hauch
Gitta Kutyniok
51
39
0
27 May 2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov
Maria De-Arteaga
Hanna M. Wallach
J. Chayes
C. Borgs
Alexandra Chouldechova
S. Geyik
K. Kenthapadi
Anna Rumshisky
Adam Tauman Kalai
57
81
0
10 Apr 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga
Alexey Romanov
Hanna M. Wallach
J. Chayes
C. Borgs
Alexandra Chouldechova
S. Geyik
K. Kenthapadi
Adam Tauman Kalai
194
460
0
27 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
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95,175
0
11 Oct 2018
Learning Gender-Neutral Word Embeddings
Jieyu Zhao
Yichao Zhou
Zeyu Li
Wei Wang
Kai-Wei Chang
FaML
103
415
0
29 Aug 2018
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar
Yoav Goldberg
FaML
109
309
0
20 Aug 2018
Towards Robust and Privacy-preserving Text Representations
Yitong Li
Timothy Baldwin
Trevor Cohn
78
167
0
16 May 2018
Mitigating Unwanted Biases with Adversarial Learning
B. Zhang
Blake Lemoine
Margaret Mitchell
FaML
199
1,390
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22 Jan 2018
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo
A. Mislove
Anders Søgaard
Iyad Rahwan
Sune Lehmann
87
744
0
01 Aug 2017
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie
Zihang Dai
Yulun Du
Eduard H. Hovy
Graham Neubig
OOD
94
293
0
31 May 2017
Demographic Dialectal Variation in Social Media: A Case Study of African-American English
Su Lin Blodgett
Lisa Green
Brendan O'Connor
93
354
0
31 Aug 2016
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity
D. Gerz
Ivan Vulić
Felix Hill
Roi Reichart
Anna Korhonen
93
262
0
02 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBM
FaML
112
3,150
0
21 Jul 2016
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
423
10,531
0
21 Jul 2016
Bag of Tricks for Efficient Text Classification
Armand Joulin
Edouard Grave
Piotr Bojanowski
Tomas Mikolov
VLM
179
4,630
0
06 Jul 2016
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation
Felix Hill
Roi Reichart
Anna Korhonen
103
1,303
0
15 Aug 2014
A Universal Part-of-Speech Tagset
Slav Petrov
Dipanjan Das
Ryan T. McDonald
97
1,036
0
11 Apr 2011
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