Continual Learning with Node-Importance based Adaptive Group Sparse Regularization

30 March 2020

Papers citing "Continual Learning with Node-Importance based Adaptive Group Sparse Regularization"

20 / 20 papers shown

Title
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images Sara Yavari Jacob Furst CLL 58 0 0 28 Apr 2025
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning J. Guo Xiaoguang Zhu Liangyu Teng Hao Yang J. Liu Y. Liu Liang Song CLL VLM 69 1 0 25 Mar 2025
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Yichen Li Yuying Wang Tianzhe Xiao Haozhao Wang Yining Qi Ruixuan Li 121 0 0 18 Dec 2024
Not Just Object, But State: Compositional Incremental Learning without Forgetting Yanyi Zhang Binglin Qiu Qi Jia Yu Liu Ran He CLL 40 0 0 04 Nov 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning Qifan Zhang Yunhui Guo Yu Xiang VLM CLL 56 0 0 18 Jul 2024
Doubly Perturbed Task Free Continual Learning Byung Hyun Lee Min-hwan Oh Se Young Chun 16 3 0 20 Dec 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning Mustafa Burak Gurbuz J. M. Moorman Constantinos Dovrolis CLL 24 0 0 29 May 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 36 35 0 27 Jan 2023
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 23 18 0 04 Dec 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 29 27 0 15 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Fei Wu CLL 20 2 0 14 Jul 2022
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective Sungmin Cha Jihwan Kwak Dongsub Shim Hyunwoo J. Kim Moontae Lee Honglak Lee Taesup Moon CLL 28 1 0 16 Jun 2022
Representation Compensation Networks for Continual Semantic Segmentation Chang-Bin Zhang Jianqiang Xiao Xialei Liu Ying-Cong Chen Mingg-Ming Cheng SSeg CLL 37 93 0 10 Mar 2022
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
DIODE: Dilatable Incremental Object Detection Can Peng Kun-li Zhao Sam Maksoud Tianren Wang Brian C. Lovell CLL ObjD 27 9 0 12 Aug 2021
Discriminative Distillation to Reduce Class Confusion in Continual Learning Changhong Zhong Z. Cui Ruixuan Wang Weishi Zheng 20 1 0 11 Aug 2021
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis Saurav Jha Martin Schiemer F. Zambonelli Juan Ye 21 48 0 19 Apr 2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik Alex Gain Adam Kortylewski Alan Yuille CLL 11 68 0 22 Feb 2021
Selfless Sequential Learning Rahaf Aljundi Marcus Rohrbach Tinne Tuytelaars CLL 28 114 0 14 Jun 2018