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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
Hashing Learning with Hyper-Class Representation Shi-bo Zhang Jiaye Li 81 1 0 06 Jun 2022
Effects of Auxiliary Knowledge on Continual Learning Giovanni Bellitto M. Pennisi S. Palazzo Lorenzo Bonicelli Matteo Boschini Simone Calderara C. Spampinato CLL 69 6 0 03 Jun 2022
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation Chenyu You Jinlin Xiang Kun Su Xiaoran Zhang Siyuan Dong J. Onofrey Lawrence H. Staib James S. Duncan CLL 99 51 0 03 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 102 160 0 01 Jun 2022
Continual Object Detection: A review of definitions, strategies, and challenges Angelo G. Menezes Gustavo de Moura Cézanne Alves André C. P. L. F. de Carvalho ObjD 113 53 0 30 May 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 520 170 0 30 May 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 118 41 0 30 May 2022
Exploring the Open World Using Incremental Extreme Value Machines Tobias Koch Felix Liebezeit Christian Riess Vincent Christlein Thomas Köhler VLM 56 3 0 30 May 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 325 294 0 30 May 2022
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation Bin Lu Xiaoying Gan Lina Yang Weinan Zhang Luoyi Fu Xinbing Wang CLL 82 29 0 27 May 2022
Continual evaluation for lifelong learning: Identifying the stability gap Matthias De Lange Gido M. van de Ven Tinne Tuytelaars CLL 167 42 0 26 May 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 80 140 0 26 May 2022
Fine-tuned Language Models are Continual Learners Thomas Scialom Tuhin Chakrabarty Smaranda Muresan CLL LRM 211 123 0 24 May 2022
Rethinking Task-Incremental Learning Baselines Md. Rejwanul Hossain P. Saha T. Chowdhury Shafin Rahman Fuad Rahman Nabeel Mohammed CLL 67 5 0 23 May 2022
KRNet: Towards Efficient Knowledge Replay Yingying Zhang Qiaoyong Zhong Di Xie Shi Pu CLL 35 0 0 23 May 2022
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning Fanfan Ye Liang Ma Qiaoyong Zhong Di Xie Shiliang Pu BDL CLL 45 2 0 23 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 113 8 0 22 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 247 114 0 19 May 2022
Continual learning on 3D point clouds with random compressed rehearsal M. Zamorski Michal Stypulkowski Konrad Karanowski Tomasz Trzciñski Maciej Ziȩba 3DPC 63 11 0 16 May 2022
Learning Representations for New Sound Classes With Continual Self-Supervised Learning Zhepei Wang Cem Subakan Xilin Jiang Junkai Wu Efthymios Tzinis Mirco Ravanelli Paris Smaragdis CLL SSL 123 19 0 15 May 2022
Contrastive Supervised Distillation for Continual Representation Learning Tommaso Barletti Niccoló Biondi F. Pernici Matteo Bruni A. Bimbo CLL 73 7 0 11 May 2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials Chuqiao Li Zhiwu Huang D. Paudel Yabin Wang Mohamad Shahbazi Xiaopeng Hong Luc Van Gool 116 50 0 11 May 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting Jiaqi Gao Jingqi Li Hongming Shan Yanyun Qu Jianmin Wang Fei-Yue Wang Junping Zhang 97 21 0 06 May 2022
Generating Representative Samples for Few-Shot Classification Aoxiang Fan Hieu M. Le VLM 109 65 0 05 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 75 21 0 04 May 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation Abanoub Ghobrial Xu Zheng Darryl Hond Hamid Asgari Kerstin Eder AI4CE 103 1 0 30 Apr 2022
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor Yang Yang Z. Cui Junjie Xu Changhong Zhong Weishi Zheng Ruixuan Wang MedIm BDL OOD 57 36 0 28 Apr 2022
Alleviating Representational Shift for Continual Fine-tuning Shibo Jie Zhi-Hong Deng Ziheng Li CLL 89 11 0 22 Apr 2022
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data Yujin Tang Yifan Peng Weishi Zheng CLL 73 31 0 19 Apr 2022
Entropy-based Stability-Plasticity for Lifelong Learning Vladimir Araujo J. Hurtado Alvaro Soto Marie-Francine Moens CLL 71 15 0 18 Apr 2022
Generative Negative Replay for Continual Learning G. Graffieti Davide Maltoni Lorenzo Pellegrini Vincenzo Lomonaco 83 13 0 12 Apr 2022
Out-Of-Distribution Detection In Unsupervised Continual Learning Jiangpeng He Fengqing Zhu OODD 51 9 0 12 Apr 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection Karim Guirguis Ahmed Hendawy George Eskandar Mohamed Abdelsamad Matthias Kayser Jürgen Beyerer 61 16 0 11 Apr 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Zifeng Wang Zizhao Zhang Sayna Ebrahimi Ruoxi Sun Han Zhang ... Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VLM VPVLM 134 506 0 10 Apr 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning Fu Lee Wang Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 97 262 0 10 Apr 2022
General Incremental Learning with Domain-aware Categorical Representations Jiangwei Xie Shipeng Yan Xuming He OOD CLL 134 39 0 08 Apr 2022
Class-Incremental Learning with Strong Pre-trained Models Tz-Ying Wu Gurumurthy Swaminathan Zhizhong Li Avinash Ravichandran Nuno Vasconcelos Rahul Bhotika Stefano Soatto CLL 139 67 0 07 Apr 2022
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory Xinjian Long Xiang Gong Huiyang Zhou 64 7 0 06 Apr 2022
Re-examining Distillation For Continual Object Detection Eli Verwimp Kuo Yang Sarah Parisot Hong Lanqing Jingyu Sun Eduardo Pérez-Pellitero Matthias De Lange Tinne Tuytelaars VLM 111 6 0 04 Apr 2022
Revisiting a kNN-based Image Classification System with High-capacity Storage K. Nakata Youyang Ng Daisuke Miyashita A. Maki Yu Lin J. Deguchi 103 26 0 03 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 116 67 0 31 Mar 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 112 143 0 30 Mar 2022
Unseen Classes at a Later Time? No Problem Hari Chandana Kuchibhotla Sumitra S Malagi Shivam Chandhok V. Balasubramanian CLL 87 10 0 30 Mar 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning Quang Pham Chenghao Liu Guosheng Lin BDL OnRL 85 60 0 30 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 99 61 0 29 Mar 2022
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan Fahad Shahbaz Khan Rao Muhammad Anwer V. Balasubramanian CLL 96 48 0 28 Mar 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches A. Bhunia Viswanatha Reddy Gajjala Subhadeep Koley Rohit Kundu Aneeshan Sain Tao Xiang Yi-Zhe Song CLL 90 30 0 28 Mar 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation Guanglei Yang Enrico Fini Dan Xu Paolo Rota Mingli Ding Moin Nabi Xavier Alameda-Pineda Elisa Ricci CLL 82 67 0 26 Mar 2022
Class-Incremental Learning for Action Recognition in Videos Jaeyoo Park Minsoo Kang Bohyung Han CLL 84 52 0 25 Mar 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 114 434 0 25 Mar 2022