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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
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay Qicheng Lao Xiang Jiang Mohammad Havaei Yoshua Bengio VLM 65 33 0 09 Mar 2020
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN Can Peng Kun-li Zhao Brian C. Lovell ObjD 118 113 0 09 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks Axel Laborieux M. Ernoult T. Hirtzlin D. Querlioz CLL 97 65 0 07 Mar 2020
Triple Memory Networks: a Brain-Inspired Method for Continual Learning Liyuan Wang Bo Lei Qian Li Hang Su Jun Zhu Yi Zhong AAML 72 43 0 06 Mar 2020
Cognitively-Inspired Model for Incremental Learning Using a Few Examples Ali Ayub Alan Wagner CLL 58 3 0 27 Feb 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting Yaoyao Liu Yuting Su Anan Liu Bernt Schiele Qianru Sun CLL 81 347 0 24 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning Arslan Chaudhry Albert Gordo P. Dokania Philip Torr David Lopez-Paz KELM CLL 102 237 0 19 Feb 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention Yann Lifchitz Yannis Avrithis Sylvaine Picard SSL 65 7 0 18 Feb 2020
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks Muhammad Umer Glenn Dawson R. Polikar AAML 44 17 0 17 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 230 494 0 17 Feb 2020
Automatically Discovering and Learning New Visual Categories with Ranking Statistics Kai Han Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Andrea Vedaldi Andrew Zisserman SSL 81 185 0 13 Feb 2020
Multi-Task Incremental Learning for Object Detection Xialei Liu Hao Yang Avinash Ravichandran Rahul Bhotika Stefano Soatto ObjD VLM CLL 63 12 0 13 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment Qing Liu Orchid Majumder Alessandro Achille Avinash Ravichandran Rahul Bhotika Stefano Soatto CLL 51 6 0 11 Feb 2020
Modeling the Background for Incremental Learning in Semantic Segmentation Fabio Cermelli Massimiliano Mancini Samuel Rota Buló Elisa Ricci Barbara Caputo CLL VLM 79 287 0 03 Feb 2020
A Novel Incremental Cross-Modal Hashing Approach Devraj Mandal Soma Biswas CLL 13 1 0 03 Feb 2020
Adversarial Incremental Learning Ankur Singh CLL 30 1 0 30 Jan 2020
Ternary Feature Masks: zero-forgetting for task-incremental learning Marc Masana Tinne Tuytelaars Joost van de Weijer CLL 81 30 0 23 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning Gobinda Saha Isha Garg Aayush Ankit Kaushik Roy CLL 54 22 0 23 Jan 2020
Active and Incremental Learning with Weak Supervision C. Brust Christoph Käding Joachim Denzler CLL 49 18 0 20 Jan 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 97 79 0 16 Jan 2020
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation Madan Ravi Ganesh Jason J. Corso ODL 60 10 0 13 Jan 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 53 5 0 07 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 123 287 0 06 Jan 2020
Human Action Recognition and Assessment via Deep Neural Network Self-Organization G. I. Parisi 36 8 0 04 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 90 212 0 03 Jan 2020
Low-Budget Label Query through Domain Alignment Enforcement Jurandy Almeida Cristiano Saltori Paolo Rota N. Sebe 52 5 0 01 Jan 2020
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection Ruben Tolosana R. Vera-Rodríguez Julian Fierrez Aythami Morales J. Ortega-Garcia 3DPC CVBM 120 801 0 01 Jan 2020
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks Jeffrey O. Zhang Alexander Sax Amir Zamir Leonidas Guibas Jitendra Malik 91 28 0 31 Dec 2019
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier Sravanti Addepalli Gaurav Kumar Nayak Anirban Chakraborty R. Venkatesh Babu 77 37 0 27 Dec 2019
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation Jian-wei Peng Bo Tang Jiang Hao Zhuo Li Yinjie Lei Tao R. Lin Haifeng Li AAML CLL 75 38 0 19 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 150 570 0 18 Dec 2019
Direction Concentration Learning: Enhancing Congruency in Machine Learning Yan Luo Yongkang Wong Mohan Kankanhalli Qi Zhao 42 12 0 17 Dec 2019
L3DOC: Lifelong 3D Object Classification Yuyang Liu Yang Cong Gan Sun 3DPC 40 2 0 12 Dec 2019
Regularization Shortcomings for Continual Learning Timothée Lesort Andrei Stoian David Filliat CLL 85 50 0 06 Dec 2019
Learning to Recommend via Meta Parameter Partition Liang Zhao Yang Wang Daxiang Dong Hao Tian OffRL CLL 81 7 0 04 Dec 2019
Overcoming Catastrophic Forgetting by Generative Regularization Peiqiu Chen Wei Wei Cho-Jui Hsieh Bo Dai CLL 60 17 0 03 Dec 2019
Latent Replay for Real-Time Continual Learning Lorenzo Pellegrini G. Graffieti Vincenzo Lomonaco Davide Maltoni CLL 98 167 0 02 Dec 2019
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections Theodora Kontogianni Michael Gygli J. Uijlings V. Ferrari CLL VLM 91 59 0 28 Nov 2019
A Conceptual Framework for Lifelong Learning Charles X. Ling Tanner A. Bohn CLL 71 3 0 21 Nov 2019
Continual Learning with Adaptive Weights (CLAW) T. Adel Han Zhao Richard Turner CLL 76 73 0 21 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules Lucas Caccia Eugene Belilovsky Massimo Caccia Joelle Pineau 83 5 0 19 Nov 2019
Efficient Hardware Implementation of Incremental Learning and Inference on Chip G. B. Hacene Vincent Gripon Nicolas Farrugia M. Arzel M. Jézéquel BDL 18 4 0 18 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning Qi She Fan Feng Xinyue Hao Qihan Yang Chuanlin Lan ... Zhengwei Wang Yao Guo Yimin Zhang Fei Qiao Rosa H. M. Chan VLM 128 76 0 15 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation Umberto Michieli Pietro Zanuttigh CLL VLM 99 100 0 08 Nov 2019
Continual Unsupervised Representation Learning Dushyant Rao Francesco Visin Andrei A. Rusu Yee Whye Teh Razvan Pascanu R. Hadsell BDL CLL SSL DRL 43 264 0 31 Oct 2019
Moving Towards Open Set Incremental Learning: Readily Discovering New Authors Justin Leo Jugal Kalita CLL BDL 31 8 0 28 Oct 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning Hang Zhou Ziwei Liu Chenglei Wu Ping Luo Lifeng Sun CLL 120 22 0 24 Oct 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 184 1,225 0 21 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning Steven C. Y. Hung Cheng-Hao Tu Cheng-En Wu Chien-Hung Chen Yi-Ming Chan Chu-Song Chen CLL 118 318 0 15 Oct 2019
Learning to Remember from a Multi-Task Teacher Yuwen Xiong Mengye Ren R. Urtasun CLL KELM OOD 69 4 0 10 Oct 2019