Overwriting Pretrained Bias with Finetuning Data

10 March 2023

Papers citing "Overwriting Pretrained Bias with Finetuning Data"

18 / 18 papers shown

Title
BiasConnect: Investigating Bias Interactions in Text-to-Image Models Pushkar Shukla Aditya Chinchure Emily Diana A. Tolbert K. Hosanagar Vineeth N. Balasubramanian Leonid Sigal Matthew A. Turk 43 0 0 12 Mar 2025
Visual Data Diagnosis and Debiasing with Concept Graphs Rwiddhi Chakraborty Yinong Wang Jialu Gao Runkai Zheng Cheng Zhang Fernando De la Torre 18 2 0 26 Sep 2024
Efficient Bias Mitigation Without Privileged Information Mateo Espinosa Zarlenga Swami Sankaranarayanan Jerone T. A. Andrews Z. Shams M. Jamnik Alice Xiang 26 3 0 26 Sep 2024
Fairness and Bias Mitigation in Computer Vision: A Survey Sepehr Dehdashtian Ruozhen He Yi Li Guha Balakrishnan Nuno Vasconcelos Vicente Ordonez Vishnu Naresh Boddeti 29 4 0 05 Aug 2024
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning Hongwei Jin George Papadimitriou Krishnan Raghavan Pawel Zuk Prasanna Balaprakash Cong Wang A. Mandal Ewa Deelman 25 1 0 24 Jul 2024
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 22 0 0 28 Jun 2024
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque A. Gretton Alexander DÁmour Silvia Chiappa OOD CML 26 1 0 25 Jun 2024
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias Salma Abdel Magid Jui-Hsien Wang Kushal Kafle Hanspeter Pfister 23 1 0 17 Jun 2024
Using Self-supervised Learning Can Improve Model Fairness Sofia Yfantidou Dimitris Spathis Marios Constantinides Athena Vakali Daniele Quercia F. Kawsar 53 4 0 04 Jun 2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement Pushkar Shukla Dhruv Srikanth Lee Cohen Matthew A. Turk AAML 25 0 0 18 Apr 2024
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets Harsh Rangwani Pradipto Mondal Mayank Mishra Ashish Ramayee Asokan R. V. Babu 21 8 0 03 Apr 2024
A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias Yuemei Xu Ling Hu Jiayi Zhao Zihan Qiu Yuqi Ye Hanwen Gu LRM 19 36 0 01 Apr 2024
Common-Sense Bias Modeling for Classification Tasks Miao Zhang Zee fryer Ben Colman Ali Shahriyari Gaurav Bharaj 16 0 0 24 Jan 2024
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models Aditya Chinchure Pushkar Shukla Gaurav Bhatt Kiri Salij K. Hosanagar Leonid Sigal Matthew A. Turk 18 22 0 03 Dec 2023
Vision+X: A Survey on Multimodal Learning in the Light of Data Ye Zhu Yuehua Wu N. Sebe Yan Yan 28 16 0 05 Oct 2022
When does Bias Transfer in Transfer Learning? Hadi Salman Saachi Jain Andrew Ilyas Logan Engstrom Eric Wong A. Madry 33 34 0 06 Jul 2022
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 368 0 09 May 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014