Towards Transfer Unlearning: Empirical Evidence of Cross-Domain Bias Mitigation

24 July 2024

Papers citing "Towards Transfer Unlearning: Empirical Evidence of Cross-Domain Bias Mitigation"

3 / 3 papers shown

Title
Knowledge Unlearning for Mitigating Privacy Risks in Language Models Joel Jang Dongkeun Yoon Sohee Yang Sungmin Cha Moontae Lee Lajanugen Logeswaran Minjoon Seo KELM PILM MU 147 191 0 04 Oct 2022
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 259 374 0 28 Feb 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020