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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 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 102 1,262 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 101 41 0 28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 98 221 0 28 May 2019
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles CLL KELM 82 16 0 25 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
Budget-Aware Adapters for Multi-Domain Learning Rodrigo Berriel Stéphane Lathuilière Moin Nabi T. Klein Thiago Oliveira-Santos N. Sebe Elisa Ricci OOD 102 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 68 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 79 102 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 178 303 0 05 Apr 2019
Unsupervised Progressive Learning and the STAM Architecture James Smith Cameron Taylor Seth Baer C. Dovrolis OffRL CLL 107 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
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting Xilai Li Yingbo Zhou Tianfu Wu R. Socher Caiming Xiong CLL 115 437 0 31 Mar 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 139 206 0 29 Mar 2019
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge Dawei Li Serafettin Tasci Shalini Ghosh Jingwen Zhu Junting Zhang Larry Heck ObjD 71 9 0 26 Mar 2019
Gradient based sample selection for online continual learning Rahaf Aljundi Min Lin Baptiste Goujaud Yoshua Bengio BDL CLL 144 840 0 20 Mar 2019
Class-incremental Learning via Deep Model Consolidation Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 117 341 0 19 Mar 2019
Sentence Embedding Alignment for Lifelong Relation Extraction Hong Wang Wenhan Xiong Mo Yu Xiaoxiao Guo Shiyu Chang William Yang Wang CLL 78 136 0 06 Mar 2019
Representative Task Self-selection for Flexible Clustered Lifelong Learning Gan Sun Yang Cong Qianqian Wang Bineng Zhong Y. Fu CLL 54 55 0 06 Mar 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 96 302 0 28 Feb 2019
On Tiny Episodic Memories in Continual Learning Arslan Chaudhry Marcus Rohrbach Mohamed Elhoseiny Thalaiyasingam Ajanthan P. Dokania Philip Torr MarcÁurelio Ranzato CLL 95 401 0 27 Feb 2019
Superposition of many models into one Brian Cheung A. Terekhov Yubei Chen Pulkit Agrawal Bruno A. Olshausen MoMe 81 116 0 14 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 120 78 0 07 Feb 2019
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence Dahyun Kim Jihwan Bae Yeonsik Jo Jonghyun Choi OOD CLL 72 20 0 03 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias Jonathan Richard Schwarz A. G. Matthews Razvan Pascanu Yee Whye Teh CLL BDL 73 187 0 31 Jan 2019
Generative Models from the perspective of Continual Learning Timothée Lesort Hugo Caselles-Dupré Michael Garcia Ortiz Andrei Stoian David Filliat VLM DiffM 77 157 0 21 Dec 2018
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi Chelsea Finn Sergey Levine OffRL CLL 107 191 0 18 Dec 2018
Classifier and Exemplar Synthesis for Zero-Shot Learning Soravit Changpinyo Wei-Lun Chao Boqing Gong Fei Sha VLM 88 49 0 16 Dec 2018
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 140 362 0 10 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting C. Atkinson B. McCane Lech Szymanski Anthony Robins VLM CLL 81 103 0 06 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting Junfeng Wen Yanshuai Cao Ruitong Huang CLL 49 24 0 03 Dec 2018
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 226 1,465 0 02 Dec 2018
Learning without Memorizing Prithviraj Dhar Rajat Vikram Singh Kuan-Chuan Peng Ziyan Wu Rama Chellappa CLL 113 487 0 20 Nov 2018
Towards Training Recurrent Neural Networks for Lifelong Learning Shagun Sodhani A. Chandar Yoshua Bengio CLL 65 19 0 16 Nov 2018
Concept-Oriented Deep Learning: Generative Concept Representations Daniel T. Chang DRL GAN BDL 72 12 0 15 Nov 2018
Extending Pretrained Segmentation Networks with Additional Anatomical Structures Firat Özdemir Orçun Göksel CLL 64 45 0 12 Nov 2018
Prototypical Clustering Networks for Dermatological Disease Diagnosis Siyu Dai Shawn Schaffert Murali Ravuri Manish Chablani David Sontag B. Williams 78 18 0 07 Nov 2018
Progressive Memory Banks for Incremental Domain Adaptation Nabiha Asghar Lili Mou Kira A. Selby Kevin D. Pantasdo Pascal Poupart Xin Jiang CLL 70 25 0 01 Nov 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines Yen-Chang Hsu Yen-Cheng Liu Anita Ramasamy Z. Kira CLL ELM 95 359 0 30 Oct 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data O. Tasar Y. Tarabalka Pierre Alliez CLL 112 127 0 29 Oct 2018
Marginal Replay vs Conditional Replay for Continual Learning Timothée Lesort A. Gepperth Andrei Stoian David Filliat BDL 100 35 0 29 Oct 2018
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference Matthew D Riemer Ignacio Cases R. Ajemian Miao Liu Irina Rish Y. Tu Gerald Tesauro CLL 109 791 0 29 Oct 2018
Generative Low-Shot Network Expansion Adi Hayat M. Kliger S. Fleishman Daniel Cohen-Or CLL VLM 18 0 0 19 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 108 181 0 16 Oct 2018
Generative replay with feedback connections as a general strategy for continual learning Gido M. van de Ven A. Tolias CLL KELM 100 226 0 27 Sep 2018
Open-world Learning and Application to Product Classification Hu Xu Bing-Quan Liu Lei Shu P. Yu CLL VLM 85 111 0 17 Sep 2018