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iCaRL: Incremental Classifier and Representation Learning

23 November 2016

Sylvestre-Alvise Rebuffi

Papers citing "iCaRL: Incremental Classifier and Representation Learning"

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Title
Progressive Conservative Adaptation for Evolving Target Domains Gangming Zhao Chaoqi Chen Wenhao He Changzai Pan Chaowei Fang Jinpeng Li Xilin Chen Yizhou Yu CLL 77 0 0 07 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning Wei-Cheng Huang Chun-Fu Chen Hsiang Hsu VLM 68 11 0 06 Feb 2024
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning Simone Magistri Tomaso Trinci Albin Soutif--Cormerais Joost van de Weijer Andrew D. Bagdanov 108 24 0 06 Feb 2024
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives Sheng Luo Wei Chen Wanxin Tian Rui Liu Luanxuan Hou ... Ling Shao Yi Yang Bojun Gao Qun Li Guobin Wu 131 17 0 05 Feb 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem Maciej Wolczyk Bartłomiej Cupiał M. Ostaszewski Michal Bortkiewicz Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 148 18 0 05 Feb 2024
CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay Jianshu Zhang Yankai Fu Ziheng Peng Dongyu Yao Kun He CLL 94 1 0 02 Feb 2024
Few-Shot Class-Incremental Learning with Prior Knowledge Wenhao Jiang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang CLL 69 1 0 02 Feb 2024
Bias Mitigating Few-Shot Class-Incremental Learning Li-Jun Zhao Zhen-Duo Chen Ziya Zhang Xin Luo Xin-Shun Xu CLL 101 1 0 01 Feb 2024
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition Wei Wei Tom De Schepper Kevin Mets 105 2 0 31 Jan 2024
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay Mohammad Rostami CLL 117 2 0 31 Jan 2024
Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers Amr Gomaa Guillermo Reyes Michael Feld Antonio Krüger 39 0 0 29 Jan 2024
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation Trinetra Devkatte S. Dubey Satish Kumar Singh Abdenour Hadid CLL CVBM SupR 81 0 0 27 Jan 2024
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning Tao He Tongtong Wu Dongyang Zhang Guiduo Duan Ke Qin Yuan-Fang Li CLL 101 1 0 26 Jan 2024
Topology-aware Embedding Memory for Continual Learning on Expanding Networks Xikun Zhang Dongjin Song Yixin Chen Dacheng Tao 86 5 0 24 Jan 2024
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning Zhiyuan Wang Xiaoyang Qu Jing Xiao Bokui Chen Jianzong Wang CLL 105 2 0 22 Jan 2024
P2DT: Mitigating Forgetting in task-incremental Learning with progressive prompt Decision Transformer Zhiyuan Wang Xiaoyang Qu Jing Xiao Bokui Chen Jianzong Wang CLL OffRL 38 1 0 22 Jan 2024
Hierarchical Prompts for Rehearsal-free Continual Learning Yukun Zuo Hantao Yao Lu Yu Liansheng Zhuang Changsheng Xu CLL VLM 67 1 0 21 Jan 2024
Towards Open-World Gesture Recognition Junxiao Shen Matthias De Lange X. Xu Enmin Zhou Ran Tan Naveen Suda Maciej Lazarewicz Per Ola Kristensson Amy Karlson Evan Strasnick 47 3 0 20 Jan 2024
One Step Learning, One Step Review Xiaolong Huang Qiankun Li Xueran Li Xuesong Gao 76 1 0 19 Jan 2024
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss Yeongtak Oh Saehyung Lee Uiwon Hwang Sungroh Yoon 49 0 0 19 Jan 2024
Divide and not forget: Ensemble of selectively trained experts in Continual Learning Grzegorz Rype'sć Sebastian Cygert Valeriya Khan Tomasz Trzciñski Bartosz Zieliñski Bartlomiej Twardowski CLL 86 32 0 18 Jan 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation Saba Aslam Abdur Rasool Hongyan Wu Xiaoli Li 58 5 0 17 Jan 2024
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention Xin Yang Wending Yan Yuan. Yuan Michael Bi Mi Robby T. Tan CLL 91 5 0 15 Jan 2024
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models Mingli Zhu Zihao Zhu Sihong Chen Chen Chen Baoyuan Wu CLL 81 3 0 14 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 110 5 0 12 Jan 2024
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition Yukun Zuo Hantao Yao Liansheng Zhuang Changsheng Xu 71 3 0 11 Jan 2024
EsaCL: Efficient Continual Learning of Sparse Models Weijieying Ren V. Honavar CLL 50 3 0 11 Jan 2024
Scaling Laws for Forgetting When Fine-Tuning Large Language Models Damjan Kalajdzievski CLL 91 12 0 11 Jan 2024
Class-Incremental Learning for Multi-Label Audio Classification Manjunath Mulimani A. Mesaros CLL 73 12 0 09 Jan 2024
Balancing Continual Learning and Fine-tuning for Human Activity Recognition Chi Ian Tang Lorena Qendro Dimitris Spathis F. Kawsar Akhil Mathur Cecilia Mascolo SSL HAI 64 1 0 04 Jan 2024
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning Zhiwei Zuo Zhuo Tang Bin Wang KenLi Li Anwitaman Datta CLL MU 56 3 0 04 Jan 2024
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning Haiyang Guo Fei Zhu Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 100 9 0 04 Jan 2024
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning Zitong Huang Ze Chen Zhixing Chen Erjin Zhou Xinxing Xu Rick Siow Mong Goh Yong-Jin Liu Wangmeng Zuo Chun-Mei Feng CLL VLM BDL 112 11 0 03 Jan 2024
Elastic Multi-Gradient Descent for Parallel Continual Learning Fan Lyu Wei Feng Yuepan Li Qing Sun Fanhua Shang Liang Wan Liang Wang 59 2 0 02 Jan 2024
Federated Class-Incremental Learning with New-Class Augmented Self-Distillation Zhiyuan Wu Tianliu He Sheng Sun Yuwei Wang Min Liu Bo Gao Xue Jiang CLL FedML 68 4 0 01 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects Pratibha Kumari Joohi Chauhan Afshin Bozorgpour Boqiang Huang Reza Azad Dorit Merhof 116 11 0 28 Dec 2023
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization Sebastian Dziadzio cCaugatay Yildiz Gido M. van de Ven Tomasz Trzciñski Tinne Tuytelaars Matthias Bethge 73 1 0 27 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 81 44 0 27 Dec 2023
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning Yan Fan Yu Wang Pengfei Zhu Qinghua Hu CLL 206 5 0 27 Dec 2023
Adapt & Align: Continual Learning with Generative Models Latent Space Alignment Kamil Deja Bartosz Cywiński Jan Rybarczyk Tomasz Trzciñski CLL DRL 48 0 0 21 Dec 2023
Federated Continual Novel Class Learning Lixu Wang Chenxi Liu Junfeng Guo Jiahua Dong Tianlin Li Heng-Chiao Huang Qi Zhu CLL FedML 118 2 0 21 Dec 2023
Doubly Perturbed Task Free Continual Learning Byung Hyun Lee Min-hwan Oh Se Young Chun 75 3 0 20 Dec 2023
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning Jiang-Tian Zhai Xialei Liu Lu Yu Ming-Ming Cheng CLL 115 10 0 20 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video Representations Haeyong Kang Jaehong Yoon Sung Ju Hwang Chang D. Yoo CLL 135 2 0 19 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy Everton L. Aleixo J. Colonna Marco Cristo Everlandio Fernandes CLL 114 27 0 16 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 162 4 0 15 Dec 2023
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training Xi Chen Chang Gao Zuowen Wang Longbiao Cheng Sheng Zhou Shih-Chii Liu T. Delbruck 62 2 0 14 Dec 2023
RTRA: Rapid Training of Regularization-based Approaches in Continual Learning Sahil Nokhwal Nirman Kumar CLL 36 6 0 14 Dec 2023
DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning Sahil Nokhwal Nirman Kumar CLL 42 3 0 14 Dec 2023
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning Sahil Nokhwal Nirman Kumar CLL 61 3 0 14 Dec 2023