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

20 November 2022

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

8 / 8 papers shown

Title
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 Muhammad Asif Khan R. Hamila Hamid Menouar 28 0 0 03 Oct 2024
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 52 59 0 20 Aug 2023
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks Jean-Michel Attendu Jean-Philippe Corbeil 35 15 0 05 Jun 2023
Should We Attend More or Less? Modulating Attention for Fairness A. Zayed Gonçalo Mordido Samira Shabanian Sarath Chandar 37 10 0 22 May 2023
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 201 882 0 03 May 2018
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 297 6,984 0 20 Apr 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018