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. 2210.06630
  4. Cited By
Fairness via Adversarial Attribute Neighbourhood Robust Learning

Fairness via Adversarial Attribute Neighbourhood Robust Learning

12 October 2022
Q. Qi
Shervin Ardeshir
Yi Tian Xu
Tianbao Yang
ArXivPDFHTML

Papers citing "Fairness via Adversarial Attribute Neighbourhood Robust Learning"

19 / 19 papers shown
Title
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and
  Applications
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
Bokun Wang
Tianbao Yang
103
32
0
24 Feb 2022
A Survey on Bias in Visual Datasets
A Survey on Bias in Visual Datasets
Simone Fabbrizzi
Symeon Papadopoulos
Eirini Ntoutsi
Y. Kompatsiaris
171
126
0
16 Jul 2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Guanghui Wang
Minghao Yang
Lijun Zhang
Tianbao Yang
76
22
0
02 Jul 2021
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and
  Empirical Studies on Medical Image Classification
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Zhuoning Yuan
Yan Yan
Milan Sonka
Tianbao Yang
AI4TS
MedIm
OOD
73
120
0
06 Dec 2020
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity
  Classification
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification
Robert Adragna
Elliot Creager
David Madras
R. Zemel
OOD
FaML
62
43
0
12 Nov 2020
Solving Stochastic Compositional Optimization is Nearly as Easy as
  Solving Stochastic Optimization
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
Tianyi Chen
Yuejiao Sun
W. Yin
103
82
0
25 Aug 2020
Tilted Empirical Risk Minimization
Tilted Empirical Risk Minimization
Tian Li
Ahmad Beirami
Maziar Sanjabi
Virginia Smith
65
135
0
02 Jul 2020
Biased Stochastic First-Order Methods for Conditional Stochastic
  Optimization and Applications in Meta Learning
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
Yifan Hu
Siqi Zhang
Xin Chen
Niao He
ODL
92
56
0
25 Feb 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual
  Bias
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Krishna Kumar Singh
D. Mahajan
Kristen Grauman
Yong Jae Lee
Matt Feiszli
Deepti Ghadiyaram
63
109
0
09 Jan 2020
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
108
1,243
0
20 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
177
1,219
0
21 Oct 2019
Interpretations are useful: penalizing explanations to align neural
  networks with prior knowledge
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
Laura Rieger
Chandan Singh
W. James Murdoch
Bin Yu
FAtt
83
215
0
30 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,226
0
27 Aug 2019
Incorporating Priors with Feature Attribution on Text Classification
Incorporating Priors with Feature Attribution on Text Classification
Frederick Liu
Besim Avci
FAtt
FaML
85
120
0
19 Jun 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
127
1,602
0
18 Jun 2019
Adversarial Removal of Demographic Attributes from Text Data
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar
Yoav Goldberg
FaML
104
308
0
20 Aug 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
S. Kiritchenko
Saif M. Mohammad
FaML
86
439
0
11 May 2018
Avoiding Discrimination through Causal Reasoning
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaML
CML
112
583
0
08 Jun 2017
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,408
0
28 Nov 2014
1