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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
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 57 10 0 13 Jan 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 48 5 0 07 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 108 286 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
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 118 799 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
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 136 569 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
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 51 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
Continual Learning with Adaptive Weights (CLAW) T. Adel Han Zhao Richard Turner CLL 71 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
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 123 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 1,224 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 110 318 0 15 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 137 303 0 06 Oct 2019
Incremental learning for the detection and classification of GAN-generated images Francesco Marra Cristiano Saltori G. Boato Luisa Verdoliva 117 134 0 03 Oct 2019
Gated Linear Networks William H. Guss Tor Lattimore David Budden Avishkar Bhoopchand Christopher Mattern ... Ruslan Salakhutdinov Jianan Wang Peter Toth Simon Schmitt Marcus Hutter AI4CE 116 41 0 30 Sep 2019
A continual learning survey: Defying forgetting in classification tasks Matthias De Lange Rahaf Aljundi Marc Masana Sarah Parisot Xu Jia A. Leonardis Greg Slabaugh Tinne Tuytelaars CLL KELM 79 246 0 18 Sep 2019
Neural Architecture Search for Class-incremental Learning Shenyang Huang Vincent François-Lavet Guillaume Rabusseau CLL 46 16 0 14 Sep 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Tyler L. Hayes Christopher Kanan CLL 70 144 0 04 Sep 2019
Learning Continually from Low-shot Data Stream Canyu Le Xihan Wei Biao Wang L. Zhang Zhonggui Chen CLL 24 3 0 27 Aug 2019
Multi-stage Deep Classifier Cascades for Open World Recognition Xiaojie Guo Amir Alipour-Fanid Lingfei Wu Hemant Purohit Xiang Chen K. Zeng Liang Zhao ObjD 54 12 0 26 Aug 2019
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Caccia Eugene Belilovsky Massimo Caccia Min Lin Laurent Charlin Tinne Tuytelaars CLL 113 552 0 11 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation Dongmin Park Seokil Hong Bohyung Han Kyoung Mu Lee AAML CLL 156 40 0 08 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 165 1,478 0 02 Aug 2019
Continual Learning via Online Leverage Score Sampling D. Teng Sakyasingha Dasgupta CLL 38 5 0 01 Aug 2019
Incremental Learning Techniques for Semantic Segmentation Umberto Michieli Pietro Zanuttigh SSeg CLL VLM 120 235 0 31 Jul 2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen Jindong Wang Chaohui Yu Wen Gao Xin Qin FedML 99 724 0 22 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 89 61 0 11 Jul 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches Vincenzo Lomonaco Davide Maltoni Lorenzo Pellegrini CLL VLM 103 67 0 08 Jul 2019
Incremental Concept Learning via Online Generative Memory Recall Huaiyu Li Weiming Dong Bao-Gang Hu CLL 62 23 0 05 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights Pedro Morgado Nuno Vasconcelos MQ 56 29 0 29 Jun 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 120 250 0 29 Jun 2019
Continual Rare-Class Recognition with Emerging Novel Subclasses Hung T. Nguyen Xuejian Wang Leman Akoglu 43 3 0 28 Jun 2019
Efficient Multi-Domain Network Learning by Covariance Normalization Yunsheng Li Nuno Vasconcelos OOD 127 34 0 24 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Natalia Díaz Rodríguez David Filliat CLL OffRL 118 45 0 11 Jun 2019
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance Qiuyu Zhu Zikuang He Xin Ye CLL 44 6 0 11 Jun 2019
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition Massimiliano Mancini H. Karaoğuz Elisa Ricci Patric Jensfelt Barbara Caputo 63 24 0 04 Jun 2019