Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy

16 December 2023

Papers citing "Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy"

7 / 7 papers shown

Title
Human-inspired Perspectives: A Survey on AI Long-term Memory Zihong He Weizhe Lin Hao Zheng Fan Zhang Matt Jones Laurence Aitchison X. Xu Miao Liu Per Ola Kristensson Junxiao Shen 65 2 0 01 Nov 2024
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models Ambuje Gupta Mrinal Rawat Andreas Stolcke Roberto Pieraccini RALM 14 1 0 16 Oct 2024
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal Yaqian Zhang Bernhard Pfahringer E. Frank Albert Bifet N. Lim Yunzhe Jia CLL 104 40 0 28 Sep 2022
SparCL: Sparse Continual Learning on the Edge Zifeng Wang Zheng Zhan Yifan Gong Geng Yuan Wei Niu T. Jian Bin Ren Stratis Ioannidis Yanzhi Wang Jennifer Dy CLL 52 57 0 20 Sep 2022
Representational Continuity for Unsupervised Continual Learning Divyam Madaan Jaehong Yoon Yuanchun Li Yunxin Liu Sung Ju Hwang CLL SSL 56 110 0 13 Oct 2021
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
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,597 0 03 Jul 2012