Mnemonics Training: Multi-Class Incremental Learning without Forgetting

24 February 2020

Bernt Schiele

Papers citing "Mnemonics Training: Multi-Class Incremental Learning without Forgetting"

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Title
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning J. Guo Xiaoguang Zhu Xiaoguang Zhu Lianlong Sun Liangyu Teng Yang Liu Di Li Wei Zhou Liang Song CLL VLM 59 1 0 24 Mar 2025
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks Jingzhi Hu Xin Li Zhou Su Jun Luo 70 0 0 18 Feb 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Milad Khademi Nori Il Kim Guanghui CLL 60 1 0 26 Jan 2025
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA Haodong Lu Chongyang Zhao Jason Xue Lina Yao Kristen Moore Dong Gong VLM KELM CLL 88 3 0 01 Dec 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning Da-Wei Zhou Zi-Wen Cai Han-Jia Ye Lijun Zhang De-Chuan Zhan CLL AI4CE 76 2 0 01 Oct 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness Jaeill Kim Wonseok Lee Moonjung Eo Wonjong Rhee CLL 44 0 0 22 Mar 2024
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 59 3 0 15 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 21 0 0 06 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning Ruxiao Duan Yaoyao Liu Jieneng Chen Adam Kortylewski Alan L. Yuille DiffM VLM 30 1 0 30 Nov 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation Imad Eddine Marouf Subhankar Roy Enzo Tartaglione Stéphane Lathuilière CLL 23 3 0 17 Oct 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 30 5 0 25 Aug 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers Thomas De Min Massimiliano Mancini Alahari Karteek Xavier Alameda-Pineda Elisa Ricci CLL 26 9 0 18 Aug 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning Sathursan Kanagarajah Thanuja D. Ambegoda Ranga Rodrigo CLL 19 0 0 13 Aug 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro Xinyue Ma Suyeon Jeong Minjia Zhang Di Wang Jonghyun Choi Myeongjae Jeon CLL 16 13 0 11 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Guohao Li CLL 31 8 0 03 Aug 2023
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts Johannes Jakubik Daniel Weber Patrick Hemmer Michael Vossing G. Satzger 21 2 0 06 Jul 2023
Long-Tailed Continual Learning For Visual Food Recognition Jiangpeng He Luotao Lin Jack Ma H. Eicher-Miller F. Zhu Fengqing M Zhu 59 14 0 01 Jul 2023
Learning without Forgetting for Vision-Language Models Da-Wei Zhou Yuanhan Zhang Jingyi Ning Jingyi Ning De-Chuan Zhan De-Chuan Zhan Ziwei Liu VLM CLL 71 37 0 30 May 2023
SRIL: Selective Regularization for Class-Incremental Learning Jisu Han Jaemin Na Wonjun Hwang CLL 10 0 0 09 May 2023
Remind of the Past: Incremental Learning with Analogical Prompts Zhiheng Ma Xiaopeng Hong Beinan Liu Yabin Wang Pinyue Guo Huiyun Li CLL 26 1 0 24 Mar 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 53 121 0 17 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 21 92 0 14 Jan 2023
Neural Weight Search for Scalable Task Incremental Learning Jian Jiang Oya Celiktutan CLL 19 6 0 24 Nov 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 24 111 0 23 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning Zenglin Shi Jing Jie Ying Sun J. Lim Mengmi Zhang CLL 36 1 0 21 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
Private Set Generation with Discriminative Information Dingfan Chen Raouf Kerkouche Mario Fritz DD 27 34 0 07 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 21 70 0 04 Nov 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 48 12 0 11 Oct 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay Gyuhak Kim Zixuan Ke Bin Liu VLM CLL OODD 17 29 0 20 Aug 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Yabin Wang Zhiwu Huang Xiaopeng Hong CLL VLM 27 208 0 26 Jul 2022
Novel Class Discovery without Forgetting K. J. Joseph S. Paul Gaurav Aggarwal Soma Biswas Piyush Rai Kai Han V. Balasubramanian CLL 51 43 0 21 Jul 2022
Don't Stop Learning: Towards Continual Learning for the CLIP Model Yuxuan Ding Lingqiao Liu Chunna Tian Jingyuan Yang Haoxuan Ding CLL VLM KELM 19 51 0 19 Jul 2022
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning Huitong Chen Yu Wang Q. Hu CLL 25 16 0 30 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 39 149 0 01 Jun 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection Huiping Zhuang Zhenyu Weng Hongxin Wei Renchunzi Xie Kar-Ann Toh Zhiping Lin CLL 30 35 0 30 May 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 183 271 0 30 May 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 23 122 0 26 May 2022
Rethinking Task-Incremental Learning Baselines Md. Rejwanul Hossain P. Saha T. Chowdhury Shafin Rahman Fuad Rahman Nabeel Mohammed CLL 27 5 0 23 May 2022
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory Xinjian Long Xiang Gong Huiyang Zhou 11 7 0 06 Apr 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation Minsoo Kang Jaeyoo Park Bohyung Han CLL 27 179 0 02 Apr 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 26 141 0 30 Mar 2022
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan F. Khan Rao Muhammad Anwer V. Balasubramanian CLL 33 46 0 28 Mar 2022
Federated Class-Incremental Learning Jiahua Dong Lixu Wang Zhen Fang Gan Sun Shichao Xu Tianlin Li Qi Zhu CLL FedML 24 168 0 22 Mar 2022
Deep Class Incremental Learning from Decentralized Data Xiaohan Zhang Songlin Dong Jinjie Chen Qiaoling Tian Yihong Gong Xiaopeng Hong CLL 23 11 0 11 Mar 2022
vCLIMB: A Novel Video Class Incremental Learning Benchmark Andrés Villa Kumail Alhamoud Juan Carlos León Alcázar Fabian Caba Heilbron Victor Escorcia Guohao Li CLL 69 32 0 23 Jan 2022
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning Zixuan Ke Bing-Quan Liu Nianzu Ma Hu Xu Lei Shu CLL 189 122 0 05 Dec 2021
Incremental Learning in Semantic Segmentation from Image Labels Fabio Cermelli Dario Fontanel A. Tavera Marco Ciccone Barbara Caputo VLM CLL 35 47 0 03 Dec 2021
DualNet: Continual Learning, Fast and Slow Quang-Cuong Pham Chenghao Liu S. Hoi CLL 71 42 0 01 Oct 2021
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