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2203.12748
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Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
23 March 2022
Natalie Dullerud
Karsten Roth
Kimia Hamidieh
Nicolas Papernot
Marzyeh Ghassemi
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Papers citing
"Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning"
15 / 15 papers shown
Title
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
Nishad Singhi
Jae Myung Kim
Karsten Roth
Zeynep Akata
46
1
0
02 May 2024
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
35
14
0
29 Sep 2023
Bias Propagation in Federated Learning
Hong Chang
Reza Shokri
FedML
16
10
0
05 Sep 2023
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals
Hyewon Jeong
Collin M. Stultz
Marzyeh Ghassemi
17
4
0
09 Aug 2023
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Q. Zhang
Linghan Xu
Qingming Tang
Jun Fang
Yingqi Wu
Joseph Tighe
Yifan Xing
22
4
0
08 Jul 2023
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Matthew B. A. McDermott
Bret A. Nestor
Peniel Argaw
I. Kohane
AI4TS
24
21
0
20 Jun 2023
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Wenlong Deng
Yuan Zhong
Qianming Dou
Xiaoxiao Li
FaML
33
17
0
04 Jan 2023
Disentanglement of Correlated Factors via Hausdorff Factorized Support
Karsten Roth
Mark Ibrahim
Zeynep Akata
Pascal Vincent
Diane Bouchacourt
CML
OOD
CoGe
28
33
0
13 Oct 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Jiayin Jin
Zeru Zhang
Yang Zhou
Lingfei Wu
11
13
0
22 Jun 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Karsten Roth
Oriol Vinyals
Zeynep Akata
16
36
0
16 Mar 2022
Integrating Language Guidance into Vision-based Deep Metric Learning
Karsten Roth
Oriol Vinyals
Zeynep Akata
VLM
14
29
0
16 Mar 2022
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Biagio Brattoli
Joseph Tighe
Fedor Zhdanov
Pietro Perona
Krzysztof Chalupka
VLM
129
127
0
03 Mar 2020
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
314
4,203
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
201
2,082
0
24 Oct 2016
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