"Forgetting" in Machine Learning and Beyond: A Survey

"Forgetting" in Machine Learning and Beyond: A Survey

31 May 2024

Alyssa Shuang Sha

Bernardo Pereira Nunes

Papers citing ""Forgetting" in Machine Learning and Beyond: A Survey"

10 / 10 papers shown

Title
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 102 0 0 27 Mar 2025
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 26 20 0 05 Oct 2022
Training Language Models with Memory Augmentation Zexuan Zhong Tao Lei Danqi Chen RALM 232 127 0 25 May 2022
ABC: Attention with Bounded-memory Control Hao Peng Jungo Kasai Nikolaos Pappas Dani Yogatama Zhaofeng Wu Lingpeng Kong Roy Schwartz Noah A. Smith 61 22 0 06 Oct 2021
Iterated learning for emergent systematicity in VQA Ankit Vani Max Schwarzer Yucheng Lu Eeshan Gunesh Dhekane Aaron C. Courville 62 24 0 03 May 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 125 159 0 24 Dec 2020
Distant Domain Transfer Learning for Medical Imaging Shuteng Niu Meryl Liu Yongxin Liu Jian Wang H. Song OOD 45 69 0 10 Dec 2020
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning Lei Tian Yongqiang Tang Liangchen Hu Zhida Ren Wensheng Zhang 23 61 0 20 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 163 0 21 Aug 2019