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CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?

CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?

7 March 2024
Ibrahim M. Alabdulmohsin
Xiao Wang
Andreas Steiner
Priya Goyal
Alexander DÁmour
Xiao-Qi Zhai
ArXivPDFHTML

Papers citing "CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?"

11 / 11 papers shown
Title
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
Alejandro Lozano
Min Woo Sun
James Burgess
Liangyu Chen
Jeffrey Nirschl
...
Xiaohan Wang
Yuhui Zhang
Alfred Seunghoon Song
Robert Tibshirani
Serena Yeung-Levy
LM&MA
VLM
MedIm
70
8
0
13 Jan 2025
Mind the Graph When Balancing Data for Fairness or Robustness
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff
Alexis Bellot
Amal Rannen-Triki
Alan Malek
Isabela Albuquerque
Arthur Gretton
Alexander DÁmour
Silvia Chiappa
OOD
CML
51
1
0
25 Jun 2024
Revisiting Neural Scaling Laws in Language and Vision
Revisiting Neural Scaling Laws in Language and Vision
Ibrahim M. Alabdulmohsin
Behnam Neyshabur
Xiaohua Zhai
159
102
0
13 Sep 2022
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias
  in Image Search
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
Jialu Wang
Yang Liu
Qing Guo
FaML
157
94
0
12 Sep 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,796
0
24 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
331
3,708
0
11 Feb 2021
Improving the Fairness of Deep Generative Models without Retraining
Improving the Fairness of Deep Generative Models without Retraining
Shuhan Tan
Yujun Shen
Bolei Zhou
183
59
0
09 Dec 2020
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
152
371
0
09 May 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
326
4,223
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
A statistical framework for fair predictive algorithms
A statistical framework for fair predictive algorithms
K. Lum
J. Johndrow
FaML
177
104
0
25 Oct 2016
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