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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
Continual Learning in Neural Networks Rahaf Aljundi CLL 94 34 0 07 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 155 303 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
ContCap: A scalable framework for continual image captioning Giang Nguyen Tae Joon Jun T. Tran Tolcha Yalew Daeyoung Kim VLM CLL 63 10 0 19 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 81 246 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 80 144 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 67 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 115 552 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 194 1,480 0 02 Aug 2019
Continual Learning via Online Leverage Score Sampling D. Teng Sakyasingha Dasgupta CLL 40 5 0 01 Aug 2019
Incremental Learning Techniques for Semantic Segmentation Umberto Michieli Pietro Zanuttigh SSeg CLL VLM 129 237 0 31 Jul 2019
Context-Aware Multipath Networks Dumindu Tissera Kumara Kahatapitiya Rukshan Wijesinghe Subha Fernando Ranga Rodrigo 45 7 0 26 Jul 2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen Jindong Wang Chaohui Yu Wen Gao Xin Qin FedML 113 725 0 22 Jul 2019
Autoencoder-Based Incremental Class Learning without Retraining on Old Data Euntae Choi Kyungmi Lee Kiyoung Choi CLL 48 13 0 18 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 139 250 0 29 Jun 2019
Continual Rare-Class Recognition with Emerging Novel Subclasses Hung T. Nguyen Xuejian Wang Leman Akoglu 45 3 0 28 Jun 2019
Efficient Multi-Domain Network Learning by Covariance Normalization Yunsheng Li Nuno Vasconcelos OOD 127 34 0 24 Jun 2019
Beneficial perturbation network for continual learning Shixian Wen Laurent Itti CLL KELM 29 2 0 22 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 120 45 0 11 Jun 2019
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance Qiuyu Zhu Zikuang He Xin Ye CLL 47 6 0 11 Jun 2019
Outlier Exposure with Confidence Control for Out-of-Distribution Detection Aristotelis-Angelos Papadopoulos Mohammad Reza Rajati Nazim Shaikh Jiamian Wang OODD 25 1 0 08 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
An Adaptive Random Path Selection Approach for Incremental Learning Jathushan Rajasegaran Munawar Hayat Salman Khan Fahad Shahbaz Khan Ling Shao Ming-Hsuan Yang ODL CLL 86 24 0 03 Jun 2019
Continual Learning of New Sound Classes using Generative Replay Zhepei Wang Y. C. Sübakan Efthymios Tzinis Paris Smaragdis Laurent Charlin VLM 133 23 0 03 Jun 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 118 1,264 0 30 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition Martin Mundt Iuliia Pliushch Sagnik Majumder Yongwon Hong Visvanathan Ramesh UQCV BDL 104 41 0 28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 102 221 0 28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST) Xiaocong Du Gouranga Charan Frank Liu Yu Cao CLL 66 13 0 28 May 2019
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles CLL KELM 84 17 0 25 May 2019
Variational Prototype Replays for Continual Learning Mengmi Zhang Tao Wang J. Lim Gabriel Kreiman Jiashi Feng VLM CLL 73 15 0 23 May 2019
Semi-Supervised Learning with Scarce Annotations Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman SSL 71 51 0 21 May 2019
A comprehensive, application-oriented study of catastrophic forgetting in DNNs Benedikt Pfülb A. Gepperth 72 90 0 20 May 2019
Budget-Aware Adapters for Multi-Domain Learning Rodrigo Berriel Stéphane Lathuilière Moin Nabi T. Klein Thiago Oliveira-Santos N. Sebe Elisa Ricci OOD 111 41 0 15 May 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics Grady Williams Brian Goldfain James M. Rehg Evangelos A. Theodorou 54 12 0 13 May 2019
Bayesian Optimized Continual Learning with Attention Mechanism Ju Xu Jin Ma Zhanxing Zhu CLL BDL 18 6 0 10 May 2019
Improving and Understanding Variational Continual Learning S. Swaroop Cuong V Nguyen T. Bui Richard Turner CLL 73 50 0 06 May 2019
Continuous Learning for Large-scale Personalized Domain Classification Han Li Jihwan Lee Sidharth Mudgal R. Sarikaya Young-Bum Kim CLL 67 8 0 02 May 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 104 897 0 15 Apr 2019
ACE: Adapting to Changing Environments for Semantic Segmentation Zuxuan Wu Xin Wang Joseph E. Gonzalez Tom Goldstein L. Davis OOD 79 103 0 12 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O. Ostapenko M. Puscas T. Klein P. Jähnichen Moin Nabi CLL 195 304 0 05 Apr 2019
Unsupervised Progressive Learning and the STAM Architecture James Smith Cameron Taylor Seth Baer C. Dovrolis OffRL CLL 121 39 0 03 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning Peng Zhou Long Mai Jianming Zhang N. Xu Zuxuan Wu L. Davis CLL VLM 85 55 0 03 Apr 2019