Papers citing 'A Multi-Head Model for Continual Learning via Out-of-Distribution Replay'

Title
Learning After Model Deployment Derda Kaymak Gyuhak Kim Tomoya Kaichi Tatsuya Konishi Bing-Quan Liu 96 0 0 20 Oct 2025
Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding Yannik Hahn Jan Voets Antonin Koenigsfeld Hasan Tercan Tobias Meisen 109 0 0 22 Aug 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2025 Yuhang Liu Wenjie Zhao Yunhui Guo OODD 211 2 0 19 Mar 2025
Advancing Prompt-Based Methods for Replay-Independent General Continual LearningInternational Conference on Learning Representations (ICLR), 2025 Zhiqi Kang Liyuan Wang Xingxing Zhang Karteek Alahari CLL VLM 199 4 0 02 Mar 2025
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning Haiyang Guo Fei Zhu Fanhu Zeng Bing Liu Xu-Yao Zhang MoMe CLL 295 5 0 28 Nov 2024
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection Xuchen Xie Yiqiao Qiu Run Lin Weishi Zheng Ruixuan Wang CLL 233 1 0 01 Nov 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 265 14 0 07 Jul 2024
CLoG: Benchmarking Continual Learning of Image Generation Models Haotian Zhang Junting Zhou Haowei Lin Hang Ye Jianhua Zhu Zihao Wang Liangcai Gao Yizhou Wang Yitao Liang DiffM VLM 150 4 0 07 Jun 2024
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning Depeng Li Tianqi Wang Junwei Chen Wei Dai Zhigang Zeng CLL 182 2 0 04 Jun 2024
Continual Learning in the Presence of Repetition Hamed Hemati Lorenzo Pellegrini Xiaotian Duan Zixuan Zhao Fangfang Xia ... Shiji Zhao Shao-Yuan Li Sheng-Jun Huang Vincenzo Lomonaco Gido M. van de Ven CLL 240 6 0 07 May 2024
Balancing the Causal Effects in Class-Incremental Learning Junhao Zheng Ruiyan Wang Chongzhi Zhang Hu Feng Qianli Ma CML CLL 270 1 0 15 Feb 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive TaxonomyJournal of the Brazilian Computer Society (JBCS), 2023 Everton L. Aleixo J. Colonna Marco Cristo Everlandio Fernandes CLL 215 49 0 16 Dec 2023
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimalityNeural Information Processing Systems (NeurIPS), 2023 Liyuan Wang Jingyi Xie Xingxing Zhang Mingyi Huang Hang Su Jun Zhu CLL 238 127 0 11 Oct 2023
Class Incremental Learning via Likelihood Ratio Based Task PredictionInternational Conference on Learning Representations (ICLR), 2023 Haowei Lin Yijia Shao W. Qian Ningxin Pan Yiduo Guo Bing-Quan Liu CLL 460 18 0 26 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningNeural Information Processing Systems (NeurIPS), 2023 Dipam Goswami Yuyang Liu Bartlomiej Twardowski Joost van de Weijer CLL 316 86 0 25 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar Bogdan Raducanu Petia Radeva Joost van de Weijer OODD EDL 167 12 0 06 Sep 2023
Learnability and Algorithm for Continual LearningInternational Conference on Machine Learning (ICML), 2023 Gyuhak Kim Changnan Xiao Tatsuya Konishi Yinan Han CLL 249 35 0 22 Jun 2023
The Ideal Continual Learner: An Agent That Never ForgetsInternational Conference on Machine Learning (ICML), 2023 Liangzu Peng Paris V. Giampouras René Vidal CLL 479 34 0 29 Apr 2023
Adapter Learning in Pretrained Feature Extractor for Continual Learning of DiseasesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Wentao Zhang Yujun Huang Tong Zhang Qingsong Zou Weishi Zheng Ruixuan Wang CLL MedIm 199 23 0 18 Apr 2023
A Theoretical Study on Solving Continual LearningNeural Information Processing Systems (NeurIPS), 2022 Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Yinan Han CLL 185 90 0 04 Nov 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and AdaptationThe AI Magazine (AI Mag.), 2022 Bing-Quan Liu Sahisnu Mazumder Eric Robertson Scott Grigsby CLL AI4CE 276 34 0 17 Mar 2022