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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
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 90 19 0 29 Jul 2021
Task-Specific Normalization for Continual Learning of Blind Image Quality Models Weixia Zhang Kede Ma Guangtao Zhai Xiaokang Yang VLM 105 24 0 28 Jul 2021
Co-Transport for Class-Incremental Learning Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 123 75 0 27 Jul 2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning Kai Zhu Yang Cao Wei Zhai Jie Cheng Zhengjun Zha CLL 133 148 0 19 Jul 2021
Contrast R-CNN for Continual Learning in Object Detection Kai Zheng Cen Chen CLL ObjD 81 1 0 11 Jul 2021
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification Giampaolo Bovenzi Lixuan Yang A. Finamore Giuseppe Aceto D. Ciuonzo A. Pescapé Dario Rossi 77 23 0 09 Jul 2021
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation Minhan Kim Shahroz Tariq Simon S. Woo CLL 106 50 0 06 Jul 2021
Multi-View Correlation Distillation for Incremental Object Detection Dongbao Yang Yu Zhou Weiping Wang 95 62 0 05 Jul 2021
Continual Contrastive Learning for Image Classification Zhiwei Lin Yongtao Wang Hongxiang Lin SSL CLL 75 15 0 05 Jul 2021
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network Jong-Yeong Kim Dong-Wan Choi CLL 66 25 0 03 Jul 2021
AdaXpert: Adapting Neural Architecture for Growing Data Shuaicheng Niu Jiaxiang Wu Guanghui Xu Yifan Zhang Yong Guo P. Zhao Peng Wang Mingkui Tan 98 14 0 01 Jul 2021
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation Arthur Douillard Yifu Chen Arnaud Dapogny Matthieu Cord CLL 61 21 0 29 Jun 2021
AutoNovel: Automatically Discovering and Learning Novel Visual Categories Kai Han Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Andrea Vedaldi Andrew Zisserman SSL 80 133 0 29 Jun 2021
Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach Mahardhika Pratama Andri Ashfahani E. Lughofer SSL CLL 120 16 0 28 Jun 2021
Co $^2$ L: Contrastive Continual Learning Hyuntak Cha Jaeho Lee Jinwoo Shin CLL SSL VLM 147 309 0 28 Jun 2021
Learning without Forgetting for 3D Point Cloud Objects T. Chowdhury Mahira Jalisha A. Cheraghian Shafin Rahman 3DPC 80 9 0 27 Jun 2021
Continual Learning via Inter-Task Synaptic Mapping Fubing Mao Weiwei Weng Mahardhika Pratama E. Yapp CLL KELM 121 21 0 26 Jun 2021
Continual Novelty Detection Rahaf Aljundi Daniel Olmeda Reino N. Chumerin Richard Turner 43 12 0 24 Jun 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 79 20 0 24 Jun 2021
On the importance of cross-task features for class-incremental learning Albin Soutif--Cormerais Marc Masana Joost van de Weijer Bartlomiej Twardowski CLL 96 20 0 22 Jun 2021
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning Sungmin Cha Beomyoung Kim Y. Yoo Taesup Moon CLL 80 92 0 22 Jun 2021
Incremental Deep Neural Network Learning using Classification Confidence Thresholding Justin Leo Jugal Kalita CLL 65 18 0 21 Jun 2021
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay Yoojin Choi Mostafa El-Khamy Jungwon Lee CLL 72 41 0 17 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith Yen-Chang Hsu John C. Balloch Yilin Shen Hongxia Jin Z. Kira CLL 113 171 0 17 Jun 2021
Knowledge-Adaptation Priors Mohammad Emtiyaz Khan S. Swaroop BDL VLM ODL 58 27 0 16 Jun 2021
Natural continual learning: success is a journey, not (just) a destination Ta-Chu Kao Kristopher T. Jensen Gido M. van de Ven A. Bernacchia Guillaume Hennequin CLL 117 49 0 15 Jun 2021
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications Young D. Kwon Jagmohan Chauhan Cecilia Mascolo HAI 66 16 0 14 Jun 2021
Knowledge Consolidation based Class Incremental Online Learning with Limited Data M. A. Karim Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai CLL 32 0 0 12 Jun 2021
Invariant Information Bottleneck for Domain Generalization Yue Liu Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 97 117 0 11 Jun 2021
Dynamic Language Models for Continuously Evolving Content Spurthi Amba Hombaiah Tao Chen Mingyang Zhang Michael Bendersky Marc Najork CLL KELM 103 38 0 11 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 128 65 0 10 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 89 38 0 09 Jun 2021
Generative Feature-driven Image Replay for Continual Learning Kevin Thandiackal Tiziano Portenier Andrea Giovannini M. Gabrani O. Goksel CLL VLM DiffM 48 10 0 09 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 97 23 0 09 Jun 2021
Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks S. S. Rodríguez Cecilia Mascolo Young D. Kwon CLL 52 12 0 06 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually Rahul Ramesh Pratik Chaudhari CLL FedML 111 66 0 06 Jun 2021
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning Timm Hess Martin Mundt Iuliia Pliushch Visvanathan Ramesh 75 7 0 04 Jun 2021
Continual Learning in Deep Networks: an Analysis of the Last Layer Timothée Lesort Thomas George Irina Rish KELM 94 22 0 03 Jun 2021
Online Coreset Selection for Rehearsal-based Continual Learning Jaehong Yoon Divyam Madaan Eunho Yang Sung Ju Hwang CLL 103 145 0 02 Jun 2021
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning Minhan Kim Shahroz Tariq Simon S. Woo 118 88 0 28 May 2021
Encoders and Ensembles for Task-Free Continual Learning Murray Shanahan Christos Kaplanis Jovana Mitrović CLL 105 25 0 27 May 2021
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks Khadija Shaheen Muhammad Abdullah Hanif Osman Hasan Mohamed Bennai CLL 84 93 0 26 May 2021
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay Kai Wang Luis Herranz Joost van de Weijer CLL 117 14 0 18 May 2021
DRILL: Dynamic Representations for Imbalanced Lifelong Learning Kyra Ahrens Fares Abawi S. Wermter CLL 55 7 0 18 May 2021
Exemplar-Based Open-Set Panoptic Segmentation Network Jaedong Hwang Seoung Wug Oh Joon-Young Lee Bohyung Han VLM 140 51 0 18 May 2021
Class-Incremental Few-Shot Object Detection Pengyang Li Yanan Li Han Cui Donghui Wang CLL 110 14 0 17 May 2021
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios Lakshman Balasubramanian Friedrich Kruber M. Botsch Ke Deng 47 12 0 17 May 2021
Layerwise Optimization by Gradient Decomposition for Continual Learning Shixiang Tang Dapeng Chen Jinguo Zhu Shijie Yu Wanli Ouyang CLL 77 65 0 17 May 2021
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines Bimal Bhattarai Ole-Christoffer Granmo Lei Jiao 84 20 0 10 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods Jary Pomponi Simone Scardapane A. Uncini UQCV 58 8 0 06 May 2021