An Investigation of Representation and Allocation Harms in Contrastive Learning

2 October 2023

Papers citing "An Investigation of Representation and Allocation Harms in Contrastive Learning"

6 / 6 papers shown

Title
Open-source framework for detecting bias and overfitting for large pathology images Anders Sildnes N. Shvetsov M. Tafavvoghi Vi Ngoc-Nha Tran Kajsa Møllersen Lill-ToveRasmussen Busund Thomas K. Kilvær L. A. Bongo VLM 73 0 0 03 Mar 2025
Social Biases through the Text-to-Image Generation Lens Ranjita Naik Besmira Nushi 107 113 0 30 Mar 2023
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 138 279 0 12 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 130 165 0 29 Jan 2021
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 175 685 0 10 Oct 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 371 0 09 May 2020