Adaptive Aggregation Networks for Class-Incremental Learning

10 October 2020

Bernt Schiele

Papers citing "Adaptive Aggregation Networks for Class-Incremental Learning"

37 / 37 papers shown

Title
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay Sriram Mandalika Harsha Vardhan Athira Nambiar VLM 70 0 0 07 May 2025
S2IL: Structurally Stable Incremental Learning S. Balasubramanian Yedu Krishna P Talasu Sai Sriram M Sai Subramaniam Manepalli Pranav Phanindra Sai Darshan Gera CLL 58 0 0 15 Mar 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 67 1 0 26 Jan 2025
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning Yi Yang Lei Zhong Huiping Zhuang 3DPC CLL 42 0 0 18 Sep 2024
Joint Input and Output Coordination for Class-Incremental Learning Shuai Wang Yibing Zhan Yong Luo Han Hu Wei Yu Yonggang Wen Dacheng Tao CLL 37 2 0 09 Sep 2024
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner Qiang Nie Weifu Fu Yuhuan Lin Jialin Li Yifeng Zhou Yong Liu Lei Zhu Chengjie Wang 35 0 0 05 Jun 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery Guangyao Chen Peixi Peng Yangru Huang Mengyue Geng Yonghong Tian CLL MoMe 35 9 0 06 Mar 2024
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 59 3 0 15 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
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox Hai-Long Sun Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 108 27 0 13 Sep 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning Sathursan Kanagarajah Thanuja D. Ambegoda Ranga Rodrigo CLL 21 0 0 13 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
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 29 1 0 19 Jun 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 28 1 0 24 Mar 2023
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning Sang-Ho Kim Lorenzo Noci Antonio Orvieto Thomas Hofmann CLL 22 35 0 16 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 21 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
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 24 70 0 04 Nov 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
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
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning Huitong Chen Yu Wang Q. Hu CLL 27 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
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 29 122 0 26 May 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation Minsoo Kang Jaeyoo Park Bohyung Han CLL 27 179 0 02 Apr 2022
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan F. Khan Rao Muhammad Anwer V. Balasubramanian CLL 36 46 0 28 Mar 2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning Qiankun Gao Chen Zhao Guohao Li Jian Zhang CLL 20 61 0 24 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
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
InCloud: Incremental Learning for Point Cloud Place Recognition Joshua Knights Peyman Moghadam Milad Ramezani Sridha Sridharan Clinton Fookes 3DPC 25 27 0 02 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
Co-Transport for Class-Incremental Learning Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 20 73 0 27 Jul 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 176 175 0 02 Mar 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017