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Debiasing surgeon: fantastic weights and how to find them

Debiasing surgeon: fantastic weights and how to find them

21 March 2024
Rémi Nahon
Ivan Luiz De Moura Matos
Van-Tam Nguyen
Enzo Tartaglione
ArXivPDFHTML

Papers citing "Debiasing surgeon: fantastic weights and how to find them"

24 / 24 papers shown
Title
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
Leander Girrbach
Yiran Huang
Stephan Alaniz
Trevor Darrell
Zeynep Akata
VLM
94
2
0
25 Oct 2024
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
81
128
0
20 Oct 2022
Learning Debiased Classifier with Biased Committee
Learning Debiased Classifier with Biased Committee
Nayeong Kim
Sehyun Hwang
SungSoo Ahn
Jaesik Park
Suha Kwak
CML
60
56
0
22 Jun 2022
Multimodal Learning with Transformers: A Survey
Multimodal Learning with Transformers: A Survey
Peng Xu
Xiatian Zhu
David Clifton
ViT
123
555
0
13 Jun 2022
Content and Style Aware Generation of Text-line Images for Handwriting
  Recognition
Content and Style Aware Generation of Text-line Images for Handwriting Recognition
Lei Kang
Pau Riba
Marçal Rusiñol
Alicia Fornés
M. Villegas
33
41
0
12 Apr 2022
The rise of the lottery heroes: why zero-shot pruning is hard
The rise of the lottery heroes: why zero-shot pruning is hard
Enzo Tartaglione
51
6
0
24 Feb 2022
NAS-OoD: Neural Architecture Search for Out-of-Distribution
  Generalization
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
Haoyue Bai
Fengwei Zhou
Lanqing Hong
Nanyang Ye
Shueng-Han Gary Chan
Zhenguo Li
OOD
UQCV
42
44
0
05 Sep 2021
Demystifying the Draft EU Artificial Intelligence Act
Demystifying the Draft EU Artificial Intelligence Act
Michael Veale
Frederik J. Zuiderveen Borgesius
56
352
0
08 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee
Eungyeup Kim
Juyoung Lee
Jihyeon Janel Lee
Jaegul Choo
CML
50
155
0
03 Jul 2021
Can Subnetwork Structure be the Key to Out-of-Distribution
  Generalization?
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang
Kartik Ahuja
Yilun Xu
Yisen Wang
Aaron Courville
OOD
64
96
0
05 Jun 2021
EnD: Entangling and Disentangling deep representations for bias
  correction
EnD: Entangling and Disentangling deep representations for bias correction
Enzo Tartaglione
C. Barbano
Marco Grangetto
60
124
0
02 Mar 2021
Environment Inference for Invariant Learning
Environment Inference for Invariant Learning
Elliot Creager
J. Jacobsen
R. Zemel
OOD
59
382
0
14 Oct 2020
Model Patching: Closing the Subgroup Performance Gap with Data
  Augmentation
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
Karan Goel
Albert Gu
Yixuan Li
Christopher Ré
65
120
0
15 Aug 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
201
2,049
0
16 Apr 2020
StarGAN v2: Diverse Image Synthesis for Multiple Domains
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
3DH
110
1,748
0
04 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
89
1,237
0
20 Nov 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
372
281
0
07 Oct 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
OOD
71
465
0
09 Sep 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering
RUBi: Reducing Unimodal Biases in Visual Question Answering
Rémi Cadène
Corentin Dancette
H. Ben-younes
Matthieu Cord
Devi Parikh
CML
83
373
0
24 Jun 2019
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
225
3,461
0
09 Mar 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
140
1,177
0
06 Mar 2018
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
217
4,305
0
07 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
277
19,981
0
07 Oct 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
191
1,984
0
11 Dec 2014
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