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Deep Learning on a Healthy Data Diet: Finding Important Examples for
  Fairness

Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness

20 November 2022
A. Zayed
Prasanna Parthasarathi
Gonçalo Mordido
Hamid Palangi
Samira Shabanian
Sarath Chandar
ArXivPDFHTML

Papers citing "Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness"

7 / 7 papers shown
Title
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
Zeping Yu
Sophia Ananiadou
KELM
43
1
0
24 Jan 2025
Accelerating Deep Learning with Fixed Time Budget
Accelerating Deep Learning with Fixed Time Budget
Muhammad Asif Khan
R. Hamila
Hamid Menouar
23
0
0
03 Oct 2024
A Survey on Fairness in Large Language Models
A Survey on Fairness in Large Language Models
Yingji Li
Mengnan Du
Rui Song
Xin Wang
Ying Wang
ALM
37
59
0
20 Aug 2023
Should We Attend More or Less? Modulating Attention for Fairness
Should We Attend More or Less? Modulating Attention for Fairness
A. Zayed
Gonçalo Mordido
Samira Shabanian
Sarath Chandar
35
10
0
22 May 2023
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
199
882
0
03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,950
0
20 Apr 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
673
0
17 Feb 2018
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