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2003.11652
Cited By
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Computer Vision and Pattern Recognition (CVPR), 2020
25 March 2020
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
CLL
OOD
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Papers citing
"iTAML: An Incremental Task-Agnostic Meta-learning Approach"
50 / 93 papers shown
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Yu Fu
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Achieving Upper Bound Accuracy of Joint Training in Continual Learning
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Bing Liu
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566
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17 Feb 2025
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
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Jingcai Guo
Depeng Li
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133
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In-context Continual Learning Assisted by an External Continual Learner
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Sahisnu Mazumder
Zixuan Ke
Bing Liu
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434
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Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
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Yiqiao Qiu
Run Lin
Run Lin
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334
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269
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Constructing Enhanced Mutual Information for Online Class-Incremental Learning
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Fan Lyu
Shenghua Fan
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336
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26 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
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Jianlong Wu
Yue Yu
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Ming-Hsuan Yang
Liqiang Nie
M. Zhang
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Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution
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Lukas Schwemer
Mingrui Tan
Fei Gao
Yong Liu
Huazhu Fu
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392
1
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Self-Regulated Neurogenesis for Online Data-Incremental Learning
Murat Onur Yildirim
Elif Ceren Gok Yildirim
Decebal Constantin Mocanu
Joaquin Vanschoren
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389
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13 Mar 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
International Conference on Learning Representations (ICLR), 2024
Wei-Cheng Huang
Chun-Fu Chen
Hsiang Hsu
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457
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06 Feb 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Journal of the Brazilian Computer Society (JBCS), 2023
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
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332
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Continual learning for surface defect segmentation by subnetwork creation and selection
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Miguel A. Bessa
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239
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Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
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Deepak Gupta
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407
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Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges
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Jiahui Wang
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247
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420
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Class Incremental Learning via Likelihood Ratio Based Task Prediction
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Haowei Lin
Yijia Shao
W. Qian
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Yiduo Guo
Bing-Quan Liu
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599
20
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26 Sep 2023
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
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Yuyao Tang
Yifan Peng
Weiwen Zheng
CLL
VLM
390
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21 Aug 2023
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Sandeep Madireddy
A. Yanguas-Gil
Dali Wang
CLL
309
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08 Aug 2023
Random Boxes Are Open-world Object Detectors
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Yanghao Wang
Zhongqi Yue
Xiansheng Hua
Hanwang Zhang
ObjD
325
37
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17 Jul 2023
Learnability and Algorithm for Continual Learning
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Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Yinan Han
CLL
374
37
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22 Jun 2023
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
International Conference on Language Resources and Evaluation (LREC), 2023
Qiushi Sun
Polydoros Giannouris
Jiadong Wang
Xiang Li
Ming Gao
322
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23 May 2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Runqi Wang
Xiaoyue Duan
Guoliang Kang
Jianzhuang Liu
Shaohui Lin
Songcen Xu
Jinhu Lv
Baochang Zhang
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257
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19 May 2023
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks
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Ahmed Aloui
Vahid Tarokh
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399
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Adversary Aware Continual Learning
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244
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Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
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Changnan Xiao
Tatsuya Konishi
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239
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Computationally Budgeted Continual Learning: What Does Matter?
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Hasan Hammoud
P. Dokania
Juil Sock
Ser-Nam Lim
Guohao Li
Adel Bibi
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193
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New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
Guoqiang Liang
Zhaojie Chen
Zhaoqiang Chen
Shiyu Ji
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268
16
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Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Expert systems with applications (ESWA), 2022
Ya-nan Han
Jian Liu
CLL
239
9
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A Comprehensive Survey of Continual Learning: Theory, Method and Application
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Liyuan Wang
Xingxing Zhang
Hang Su
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KELM
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951
1,250
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RMM: Reinforced Memory Management for Class-Incremental Learning
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Bernt Schiele
Qianru Sun
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230
125
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A Theoretical Study on Solving Continual Learning
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Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Yinan Han
CLL
243
104
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04 Nov 2022
TAME: Task Agnostic Continual Learning using Multiple Experts
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Maryam Majzoubi
Arihant Jain
A. Choromańska
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290
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Distance Based Image Classification: A solution to generative classification's conundrum?
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Siying Liu
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213
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Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation
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Anti-Retroactive Interference for Lifelong Learning
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Yuxiang Bao
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236
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297
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Yue Lu
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339
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Leilei Gan
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Alain Raymond-Sáez
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D. Bacciu
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