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The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
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The Rich Get Richer: Disparate Impact of Semi-Supervised Learning

12 October 2021
Zhaowei Zhu
Tianyi Luo
Yang Liu
ArXiv (abs)PDFHTML

Papers citing "The Rich Get Richer: Disparate Impact of Semi-Supervised Learning"

27 / 27 papers shown
Title
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing
Yifan Yang
Yang Liu
Parinaz Naghizadeh
114
1
0
10 Apr 2025
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Yaxuan Wang
Hao Cheng
Jing Xiong
Qingsong Wen
Han Jia
Ruixuan Song
Li Zhang
Zhaowei Zhu
Yang Liu
AI4TS
93
2
0
21 Jan 2025
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Jinlong Pang
Jialu Wang
Zhaowei Zhu
Yuanshun Yao
Chen Qian
Yang Liu
TDI
76
5
0
20 Feb 2024
Unmasking and Improving Data Credibility: A Study with Datasets for
  Training Harmless Language Models
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Zhaowei Zhu
Jialu Wang
Hao Cheng
Yang Liu
82
20
0
19 Nov 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda
  for Developing Practical Guidelines and Tools
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
70
17
0
29 Sep 2023
STRAPPER: Preference-based Reinforcement Learning via Self-training
  Augmentation and Peer Regularization
STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization
Yachen Kang
Li He
Jinxin Liu
Zifeng Zhuang
Donglin Wang
72
1
0
19 Jul 2023
On the Cause of Unfairness: A Training Sample Perspective
On the Cause of Unfairness: A Training Sample Perspective
Yuanshun Yao
Yang Liu
TDI
68
0
0
30 Jun 2023
The Importance of Human-Labeled Data in the Era of LLMs
The Importance of Human-Labeled Data in the Era of LLMs
Yang Liu
ALM
75
10
0
18 Jun 2023
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label
  Prompt Tuning
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
Cristina Menghini
Andrew T. Delworth
Stephen H. Bach
VLM
134
26
0
02 Jun 2023
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image
  Generation
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation
Jialu Wang
Xinyue Liu
Zonglin Di
Yongxu Liu
Xin Eric Wang
65
33
0
01 Jun 2023
Fairness Improves Learning from Noisily Labeled Long-Tailed Data
Fairness Improves Learning from Noisily Labeled Long-Tailed Data
Jiaheng Wei
Zhaowei Zhu
Gang Niu
Tongliang Liu
Sijia Liu
Masashi Sugiyama
Yang Liu
57
7
0
22 Mar 2023
On Comparing Fair Classifiers under Data Bias
On Comparing Fair Classifiers under Data Bias
Mohit Sharma
Amit Deshpande
R. Shah
73
2
0
12 Feb 2023
Weak Proxies are Sufficient and Preferable for Fairness with Missing
  Sensitive Attributes
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
Zhaowei Zhu
Yuanshun Yao
Jiankai Sun
Hanguang Li
Yang Liu
91
24
0
06 Oct 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Rohan Taori
Tatsunori B. Hashimoto
119
48
0
08 Sep 2022
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer
A. S. Rawat
Seungyeon Kim
Chong You
Himanshu Jain
Andreas Veit
Rob Fergus
Surinder Kumar
VLM
70
2
0
14 Aug 2022
Understanding Instance-Level Impact of Fairness Constraints
Understanding Instance-Level Impact of Fairness Constraints
Jialu Wang
Xinze Wang
Yang Liu
TDIFaML
103
34
0
30 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency
  Regularization
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Bang An
Zora Che
Mucong Ding
Furong Huang
82
31
0
26 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Jiayin Jin
Zeru Zhang
Yang Zhou
Lingfei Wu
71
13
0
22 Jun 2022
To Aggregate or Not? Learning with Separate Noisy Labels
To Aggregate or Not? Learning with Separate Noisy Labels
Jiaheng Wei
Zhaowei Zhu
Tianyi Luo
Ehsan Amid
Abhishek Kumar
Yang Liu
NoLa
77
40
0
14 Jun 2022
Pruning has a disparate impact on model accuracy
Pruning has a disparate impact on model accuracy
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
90
40
0
26 May 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision
  Making
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Miriam Rateike
Ayan Majumdar
Olga Mineeva
Krishna P. Gummadi
Isabel Valera
OffRL
82
12
0
10 May 2022
Don't fear the unlabelled: safe semi-supervised learning via simple
  debiasing
Don't fear the unlabelled: safe semi-supervised learning via simple debiasing
Hugo Schmutz
O. Humbert
Pierre-Alexandre Mattei
56
8
0
14 Mar 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with
  Lower-Quality Features
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
Zhaowei Zhu
Jialu Wang
Yang Liu
NoLa
97
37
0
02 Feb 2022
Adaptive Data Debiasing through Bounded Exploration
Adaptive Data Debiasing through Bounded Exploration
Yifan Yang
Yang Liu
Parinaz Naghizadeh
FaML
74
7
0
25 Oct 2021
Learning with Noisy Labels Revisited: A Study Using Real-World Human
  Annotations
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
Jiaheng Wei
Zhaowei Zhu
Weiran Wang
Tongliang Liu
Gang Niu
Yang Liu
NoLa
147
261
0
22 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict
Detecting Corrupted Labels Without Training a Model to Predict
Zhaowei Zhu
Zihao Dong
Yang Liu
NoLa
205
68
0
12 Oct 2021
Assessing Multilingual Fairness in Pre-trained Multimodal
  Representations
Assessing Multilingual Fairness in Pre-trained Multimodal Representations
Jialu Wang
Yang Liu
Xinze Wang
EGVM
95
37
0
12 Jun 2021
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