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iCaRL: Incremental Classifier and Representation Learning

23 November 2016

Sylvestre-Alvise Rebuffi

Papers citing "iCaRL: Incremental Classifier and Representation Learning"

50 / 101 papers shown

Title
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection Yang Xiao Rohan Kumar Das 138 4 0 04 Jul 2024
Learning System Dynamics without Forgetting Xikun Zhang Dongjin Song Yushan Jiang Yixin Chen Dacheng Tao AI4CE 137 2 0 30 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Tengjiao Wang AAML 128 3 0 19 Jun 2024
Data-dependent and Oracle Bounds on Forgetting in Continual Learning Lior Friedman Ron Meir 138 0 0 13 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning Yibo Yang Xiaojie Li Zhongzhu Zhou Shuaiwen Leon Song Jianlong Wu Liqiang Nie Guohao Li 90 14 0 07 Jun 2024
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification Qizao Wang Xuelin Qian Bin Li Xiangyang Xue 83 1 0 30 May 2024
Mixture of Experts Meets Prompt-Based Continual Learning Minh Le An Nguyen Huy Nguyen Trang Nguyen Trang Pham L. Ngo Nhat Ho CLL 118 14 0 23 May 2024
Rehearsal-free Federated Domain-incremental Learning Rui Sun Haoran Duan Jiahua Dong Varun Ojha Tejal Shah R. Ranjan CLL 139 1 0 22 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning Nisha Lakshmana Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 115 9 0 17 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 134 3 0 02 May 2024
Future-Proofing Class-Incremental Learning Quentin Jodelet Xin Liu Yin Jun Phua Tsuyoshi Murata VLM 150 2 0 04 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 115 11 0 27 Mar 2024
One-Shot Domain Incremental Learning Yasushi Esaki Satoshi Koide Takuro Kutsuna CLL VLM 105 1 0 25 Mar 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness Jaeill Kim Wonseok Lee Moonjung Eo Wonjong Rhee CLL 117 0 0 22 Mar 2024
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning Run He Huiping Zhuang Di Fang Yizhu Chen Kai Tong Cen Chen Lap-Pui Chau Huiping Zhuang 133 2 0 20 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Philip Matthias Winter M. Wimmer David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Gaia Romana De Paolis Johannes Novotny Sophia Ulonska Katja Bühler 146 0 0 18 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 128 6 0 14 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark Coates CLL 85 1 0 06 Mar 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems Eugenio Ressa Alberto Marchisio Maurizio Martina Guido Masera Mohamed Bennai 105 0 0 15 Feb 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 101 4 0 12 Jan 2024
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning Yan Fan Yu Wang Pengfei Zhu Qinghua Hu CLL 191 5 0 27 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 149 4 0 15 Dec 2023
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding Thanh-Dat Truong Utsav Prabhu Bhiksha Raj Jackson Cothren Khoa Luu CLL 161 3 0 27 Nov 2023
Federated Class-Incremental Learning with Prompting Jiale Liu Yu-Wei Zhan Chong-Yu Zhang Xin Luo Zhen-Duo Chen Yinwei Wei CLL FedML 75 3 0 13 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 140 67 0 29 Sep 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning Huiwei Lin Shanshan Feng Baoquan Zhang Xutao Li Yew-Soon Ong CLL 123 0 0 26 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox Hai-Long Sun Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 194 34 0 13 Sep 2023
Long-Tailed Continual Learning For Visual Food Recognition Jiangpeng He Luotao Lin Jack Ma H. Eicher-Miller Fengqing Zhu Fengqing M Zhu 167 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 134 44 0 30 May 2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching Tao Feng Jie Zhang Peizheng Wang Zhijie Wang Shengyuan Pang DD 134 0 0 29 May 2023
SketchOGD: Memory-Efficient Continual Learning Benjamin Wright Youngjae Min Jeremy Bernstein Navid Azizan CLL 182 0 0 25 May 2023
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions Ali Ayub Zachary De Francesco Patrick Holthaus Chrystopher L. Nehaniv Kerstin Dautenhahn CLL HAI 100 7 0 22 May 2023
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 87 38 0 09 Jun 2021
LIRA: Lifelong Image Restoration from Unknown Blended Distortions Jianzhao Liu Jianxin Lin Xin Li Wei Zhou Sen Liu Zhibo Chen CLL 57 17 0 19 Aug 2020
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN Can Peng Kun-li Zhao Brian C. Lovell ObjD 104 113 0 09 Mar 2020
Encoder Based Lifelong Learning Amal Rannen Triki Rahaf Aljundi Mathew B. Blaschko Tinne Tuytelaars CLL 113 321 0 06 Apr 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 376 7,587 0 02 Dec 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 318 4,442 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 93 2,465 0 15 Jun 2016
Convolutional Neural Fabrics Shreyas Saxena Jakob Verbeek 86 226 0 08 Jun 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 103 1,351 0 12 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,764 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 471 43,357 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Towards Open World Recognition Abhijit Bendale Terrance Boult 89 568 0 18 Dec 2014
Curriculum Learning of Multiple Tasks Anastasia Pentina V. Sharmanska Christoph H. Lampert 90 245 0 03 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,637 0 01 Sep 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 163 1,455 0 21 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 296 12,467 0 24 Jun 2012