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iCaRL: Incremental Classifier and Representation Learning

23 November 2016

Sylvestre-Alvise Rebuffi

Papers citing "iCaRL: Incremental Classifier and Representation Learning"

50 / 1,603 papers shown

Title
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time Huaxiu Yao Caroline Choi Bochuan Cao Yoonho Lee Pang Wei Koh Chelsea Finn OOD 93 79 0 25 Nov 2022
Overcoming Catastrophic Forgetting by XAI Giang Nguyen 104 0 0 25 Nov 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 81 123 0 23 Nov 2022
Cooperative data-driven modeling Aleksandr Dekhovich O. T. Turan Jiaxiang Yi Miguel A. Bessa CLL KELM AI4CE 46 5 0 23 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning Zenglin Shi Jing Jie Ying Sun J. Lim Mengmi Zhang CLL 137 1 0 21 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 111 143 0 19 Nov 2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering Yao Zhang Haokun Chen A. Frikha Yezi Yang Denis Krompass Gengyuan Zhang Jindong Gu Volker Tresp VLM LRM 88 7 0 19 Nov 2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning James Smith Paola Cascante-Bonilla Assaf Arbelle Donghyun Kim Yikang Shen David D. Cox Diyi Yang Z. Kira Rogerio Feris Leonid Karlinsky VLM 146 23 0 17 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 91 9 0 14 Nov 2022
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model Shuo Shao Wenyuan Yang Hanlin Gu Zhan Qin Lixin Fan Qiang Yang Kui Ren FedML 89 33 0 14 Nov 2022
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation Zekang Zhang Guangyu Gao Zhiyuan Fang Jianbo Jiao Yunchao Wei CLL 67 31 0 13 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 55 2 0 09 Nov 2022
$BT^2$ : Backward-compatible Training with Basis Transformation Yi Zhou Zilu Li Abhinav Shrivastava Hengshuang Zhao Antonio Torralba Taipeng Tian Ser-Nam Lim 56 4 0 08 Nov 2022
Private Set Generation with Discriminative Information Dingfan Chen Raouf Kerkouche Mario Fritz DD 80 39 0 07 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse Shenglai Zeng Zonghang Li Hongfang Yu Zhihao Zhang Long Luo Yue Liu Dusit Niyato 107 44 0 07 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 86 78 0 04 Nov 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 217 148 0 30 Oct 2022
Do Pre-trained Models Benefit Equally in Continual Learning? Kuan-Ying Lee Yuanyi Zhong Yu-Xiong Wang CLL 85 28 0 27 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 131 101 0 21 Oct 2022
Exclusive Supermask Subnetwork Training for Continual Learning Prateek Yadav Joey Tianyi Zhou CLL 91 6 0 18 Oct 2022
Entropy Regularized Reinforcement Learning with Cascading Networks R. D. Vecchia Alena Shilova Philippe Preux R. Akrour 32 2 0 16 Oct 2022
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains Marco Toldo Umberto Michieli Pietro Zanuttigh CLL VLM 92 7 0 13 Oct 2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation Youngmin Oh Donghyeon Baek Bumsub Ham CLL 52 27 0 13 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning Fei Ye A. Bors CLL 132 29 0 12 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli Matteo Boschini Angelo Porrello C. Spampinato Simone Calderara CLL 72 48 0 12 Oct 2022
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation Donghyeon Baek Youngmin Oh Sanghoon Lee Junghyup Lee Bumsub Ham CLL VLM 48 29 0 12 Oct 2022
Continual Training of Language Models for Few-Shot Learning Zixuan Ke Haowei Lin Yijia Shao Hu Xu Lei Shu Bin Liu KELM BDL CLL 138 36 0 11 Oct 2022
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data M. Kurmanji Peter Triantafillou OOD AAML 88 18 0 11 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 83 13 0 11 Oct 2022
Fast Hierarchical Learning for Few-Shot Object Detection Yihang She Goutam Bhat Martin Danelljan Feng Yu ObjD 88 1 0 10 Oct 2022
Continual Learning with Evolving Class Ontologies Zhiqiu Lin Deepak Pathak Yu-Xiong Wang Deva Ramanan Shu Kong CLL 81 9 0 10 Oct 2022
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER Ruotian Ma Xuanting Chen Lin Zhang Xin Zhou Junzhe Wang Tao Gui Qi Zhang Xiang Gao Yunwen Chen 95 9 0 10 Oct 2022
A Memory Transformer Network for Incremental Learning Ahmet Iscen Thomas Bird Mathilde Caron Alireza Fathi Cordelia Schmid CLL 162 14 0 10 Oct 2022
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning Paul Janson Wenxuan Zhang Rahaf Aljundi Mohamed Elhoseiny VLM SSL CLL 78 52 0 10 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery Xinwei Zhang Jianwen Jiang Yutong Feng Zhi-Fan Wu Xibin Zhao Hai Wan Mingqian Tang Rong Jin Yue Gao CLL 78 31 0 09 Oct 2022
CLIP model is an Efficient Continual Learner Vishal Thengane Salman Khan Munawar Hayat Fahad Shahbaz Khan BDL VLM CLL 173 51 0 06 Oct 2022
Multi-stream Fusion for Class Incremental Learning in Pill Image Classification Trong T. Nguyen Hieu H. Pham Phi Le Nguyen T. Nguyen Minh N. Do CLL 39 4 0 05 Oct 2022
Distance Based Image Classification: A solution to generative classification's conundrum? Wen-Yan Lin Siying Liu B. Dai Hongdong Li VLM 60 2 0 04 Oct 2022
Understanding Collapse in Non-Contrastive Siamese Representation Learning Alexander C. Li Alexei A. Efros Deepak Pathak SSL 94 35 0 29 Sep 2022
Multiple Modes for Continual Learning Siddhartha Datta N. Shadbolt CLL MoMe 109 2 0 29 Sep 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 76 30 0 29 Sep 2022
RECALL: Rehearsal-free Continual Learning for Object Classification Markus Wendelin Knauer Maximilian Denninger Rudolph Triebel VLM 78 1 0 29 Sep 2022
Exploring Example Influence in Continual Learning Q. Sun Fan Lyu Fanhua Shang Wei Feng Liang Wan CLL 126 49 0 25 Sep 2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection Tobias Kalb Björn Mauthe Jürgen Beyerer CLL 64 13 0 20 Sep 2022
SparCL: Sparse Continual Learning on the Edge Zifeng Wang Zheng Zhan Yifan Gong Geng Yuan Wei Niu T. Jian Bin Ren Stratis Ioannidis Yanzhi Wang Jennifer Dy CLL 124 63 0 20 Sep 2022
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation Tobias Kalb Jürgen Beyerer CLL 71 8 0 16 Sep 2022
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark Sen Pei Shixiong Xu Xiaojie Jin 38 0 0 12 Sep 2022
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation Ya-nan Han Jian Liu KELM CLL 98 10 0 12 Sep 2022
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds Xihao Wang Xian Wei 3DPC 118 5 0 11 Sep 2022
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning Ya-nan Han Jian Liu CLL 52 0 0 09 Sep 2022