ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.12178
  4. Cited By
Model Debiasing via Gradient-based Explanation on Representation
v1v2 (latest)

Model Debiasing via Gradient-based Explanation on Representation

20 May 2023
Jindi Zhang
Luning Wang
Dan Su
Yongxiang Huang
Caleb Chen Cao
Lei Chen
    FaMLCML
ArXiv (abs)PDFHTML

Papers citing "Model Debiasing via Gradient-based Explanation on Representation"

12 / 12 papers shown
Title
OmniFair: A Declarative System for Model-Agnostic Group Fairness in
  Machine Learning
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
Hantian Zhang
Xu Chu
Abolfazl Asudeh
S. Navathe
FaMLVLM
66
45
0
13 Mar 2021
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking
  Fairness and Algorithm Utility
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility
Sen Cui
Weishen Pan
Changshui Zhang
Fei Wang
53
14
0
15 Jun 2020
Operationalizing Individual Fairness with Pairwise Fair Representations
Operationalizing Individual Fairness with Pairwise Fair Representations
Preethi Lahoti
Krishna P. Gummadi
Gerhard Weikum
FaML
84
101
0
02 Jul 2019
Flexibly Fair Representation Learning by Disentanglement
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager
David Madras
J. Jacobsen
Marissa A. Weis
Kevin Swersky
T. Pitassi
R. Zemel
FaMLOOD
190
334
0
06 Jun 2019
On the Fairness of Disentangled Representations
On the Fairness of Disentangled Representations
Francesco Locatello
G. Abbati
Tom Rainforth
Stefan Bauer
Bernhard Schölkopf
Olivier Bachem
FaMLDRL
73
227
0
31 May 2019
Full-Gradient Representation for Neural Network Visualization
Full-Gradient Representation for Neural Network Visualization
Suraj Srinivas
François Fleuret
MILMFAtt
77
276
0
02 May 2019
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
64
1,356
0
16 Feb 2018
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
233
4,330
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
325
20,086
0
07 Oct 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
390
9,515
0
28 May 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
247
8,426
0
28 Nov 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
314
7,316
0
20 Dec 2013
1