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2103.16788
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DER: Dynamically Expandable Representation for Class Incremental Learning
Computer Vision and Pattern Recognition (CVPR), 2021
31 March 2021
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
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Papers citing
"DER: Dynamically Expandable Representation for Class Incremental Learning"
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322
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NTK-Guided Few-Shot Class Incremental Learning
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Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
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238
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Hao Chen
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0
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Consistent Prompting for Rehearsal-Free Continual Learning
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Jun Cen
Xiaobin Chang
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278
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Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure
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Yanling Ji
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Yan Li
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242
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254
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Continual Learning and Catastrophic Forgetting
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299
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Interactive Continual Learning: Fast and Slow Thinking
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189
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358
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Generalizable Two-Branch Framework for Image Class-Incremental Learning
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336
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Incremental Sequence Labeling: A Tale of Two Shifts
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Junhao Zheng
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370
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Evaluating and Improving Continual Learning in Spoken Language Understanding
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Xiang Li
Umberto Cappellazzo
Shinji Watanabe
Bhiksha Raj
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237
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Ruiyan Wang
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Hu Feng
Qianli Ma
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298
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TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning
Linjie Li
S. Liu
Zhenyu Wu
JI yang
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204
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Few-Shot Class-Incremental Learning with Prior Knowledge
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Duo Li
Menghan Hu
Guangtao Zhai
Yunbo Wang
Xiao-Ping Zhang
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180
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Hierarchical Prompts for Rehearsal-free Continual Learning
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Hantao Yao
Lu Yu
Liansheng Zhuang
Changsheng Xu
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185
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Junjun Jiang
Xingyu Hu
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Xiangyang Ji
318
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Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
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Hantao Yao
Liansheng Zhuang
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325
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PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
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Fei Zhu
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Xu-Yao Zhang
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285
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184
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339
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Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
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Jieneng Chen
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397
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Haiyun Guo
Ming Tang
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221
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Revisiting Supervision for Continual Representation Learning
European Conference on Computer Vision (ECCV), 2023
Daniel Marczak
Sebastian Cygert
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360
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Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos
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Yaoyao Liu
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Bernt Schiele
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