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DER: Dynamically Expandable Representation for Class Incremental
  Learning

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
ArXiv (abs)PDFHTML

Papers citing "DER: Dynamically Expandable Representation for Class Incremental Learning"

50 / 300 papers shown
Future-Proofing Class-Incremental Learning
Future-Proofing Class-Incremental LearningMachine Vision and Applications (MVA), 2024
Quentin Jodelet
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
VLM
543
5
0
04 Apr 2024
Pre-trained Vision and Language Transformers Are Few-Shot Incremental
  Learners
Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersComputer Vision and Pattern Recognition (CVPR), 2024
Keon-Hee Park
Kyungwoo Song
Gyeong-Moon Park
VLMCLL
229
43
0
02 Apr 2024
Make Continual Learning Stronger via C-Flat
Make Continual Learning Stronger via C-Flat
Ang Bian
Wei Li
Hangjie Yuan
Chengrong Yu
Zixiang Zhao
Mang Wang
Aojun Lu
Tao Feng
259
24
0
01 Apr 2024
Continual Learning for Smart City: A Survey
Continual Learning for Smart City: A Survey
Li Yang
Zhipeng Luo
Shi-sheng Zhang
Fei Teng
Tian-Jie Li
HAI
267
17
0
01 Apr 2024
Continual Learning for Autonomous Robots: A Prototype-based Approach
Continual Learning for Autonomous Robots: A Prototype-based Approach
Elvin Hajizada
Balachandran Swaminathan
Yulia Sandamirskaya
CLL
306
8
0
30 Mar 2024
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for
  Vision-Language Models
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
Saurav Jha
Dong Gong
Lina Yao
CLIPVLM
445
18
0
28 Mar 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual
  Self-Supervised Learning
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
CLL
341
2
0
27 Mar 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELMCLL
358
27
0
27 Mar 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature RichnessNeural Networks (NN), 2024
Jaeill Kim
Wonseok Lee
Moonjung Eo
Wonjong Rhee
CLL
322
0
0
22 Mar 2024
Preventing Catastrophic Forgetting through Memory Networks in Continuous
  Detection
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection
Gaurav Bhatt
James Ross
Leonid Sigal
CLLVLM
264
7
0
21 Mar 2024
NTK-Guided Few-Shot Class Incremental Learning
NTK-Guided Few-Shot Class Incremental Learning
Jingren Liu
Zhong Ji
Yanwei Pang
YunLong Yu
CLL
335
12
0
19 Mar 2024
Boosting Continual Learning of Vision-Language Models via
  Mixture-of-Experts Adapters
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts AdaptersComputer Vision and Pattern Recognition (CVPR), 2024
Jiazuo Yu
Yunzhi Zhuge
Lu Zhang
Ping Hu
Dong Wang
Huchuan Lu
You He
VLMKELMCLLOODD
453
174
0
18 Mar 2024
Controllable Relation Disentanglement for Few-Shot Class-Incremental
  Learning
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
Yuanen Zhou
Richang Hong
Yanrong Guo
Lin Liu
Shijie Hao
Hanwang Zhang
238
0
0
17 Mar 2024
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and
  Vocabulary Learning
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Yukun Li
Guansong Pang
Wei Suo
Chenchen Jing
Yuling Xi
Lingqiao Liu
Hao Chen
Guoqiang Liang
Peng Wang
CLLVLM
191
11
0
15 Mar 2024
Hyperparameters in Continual Learning: A Reality Check
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha
Kyunghyun Cho
CLL
564
8
0
14 Mar 2024
Consistent Prompting for Rehearsal-Free Continual Learning
Consistent Prompting for Rehearsal-Free Continual LearningComputer Vision and Pattern Recognition (CVPR), 2024
Zhanxin Gao
Jun Cen
Xiaobin Chang
VLMCLL
278
49
0
13 Mar 2024
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a
  Unified Network Structure
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network StructureIEEE transactions on multimedia (IEEE TMM), 2024
De Cheng
Yanling Ji
Dong Gong
Yan Li
Nannan Wang
Junwei Han
Dingwen Zhang
CLL
242
33
0
12 Mar 2024
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar
  Class-Incremental Learning
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning
Xinyuan Gao
Songlin Dong
Yuhang He
Xing Wei
Yihong Gong
CLL
254
8
0
11 Mar 2024
Continual Learning and Catastrophic Forgetting
Continual Learning and Catastrophic Forgetting
Gido M. van de Ven
Nicholas Soures
Dhireesha Kudithipudi
299
95
0
08 Mar 2024
Interactive Continual Learning: Fast and Slow Thinking
Interactive Continual Learning: Fast and Slow Thinking
Biqing Qi
Xingquan Chen
Junqi Gao
Dong Li
Jianxing Liu
Ligang Wu
Bowen Zhou
CLL
189
34
0
05 Mar 2024
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
Jiangpeng He
Fengqing Zhu
CLL
358
39
0
28 Feb 2024
Generalizable Two-Branch Framework for Image Class-Incremental Learning
Generalizable Two-Branch Framework for Image Class-Incremental Learning
Chao Wu
Xiaobin Chang
Ruixuan Wang
CLL
336
2
0
28 Feb 2024
Incremental Sequence Labeling: A Tale of Two Shifts
Incremental Sequence Labeling: A Tale of Two Shifts
Shengjie Qiu
Junhao Zheng
Zhen Liu
Yicheng Luo
Qianli Ma
CLL
370
10
0
16 Feb 2024
Evaluating and Improving Continual Learning in Spoken Language
  Understanding
Evaluating and Improving Continual Learning in Spoken Language Understanding
Muqiao Yang
Xiang Li
Umberto Cappellazzo
Shinji Watanabe
Bhiksha Raj
CLL
237
0
0
16 Feb 2024
Balancing the Causal Effects in Class-Incremental Learning
Balancing the Causal Effects in Class-Incremental Learning
Junhao Zheng
Ruiyan Wang
Chongzhi Zhang
Hu Feng
Qianli Ma
CMLCLL
298
1
0
15 Feb 2024
TaE: Task-aware Expandable Representation for Long Tail Class
  Incremental Learning
TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning
Linjie Li
S. Liu
Zhenyu Wu
JI yang
CLL
204
0
0
08 Feb 2024
Few-Shot Class-Incremental Learning with Prior Knowledge
Few-Shot Class-Incremental Learning with Prior Knowledge
Wenhao Jiang
Duo Li
Menghan Hu
Guangtao Zhai
Yunbo Wang
Xiao-Ping Zhang
CLL
180
2
0
02 Feb 2024
Hierarchical Prompts for Rehearsal-free Continual Learning
Hierarchical Prompts for Rehearsal-free Continual Learning
Yukun Zuo
Hantao Yao
Lu Yu
Liansheng Zhuang
Changsheng Xu
CLLVLM
185
1
0
21 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental LearningNeural Networks (NN), 2024
Chenyang Wang
Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
318
9
0
12 Jan 2024
Hierarchical Augmentation and Distillation for Class Incremental
  Audio-Visual Video Recognition
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Yukun Zuo
Hantao Yao
Liansheng Zhuang
Changsheng Xu
325
5
0
11 Jan 2024
PILoRA: Prototype Guided Incremental LoRA for Federated
  Class-Incremental Learning
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental LearningEuropean Conference on Computer Vision (ECCV), 2024
Haiyang Guo
Fei Zhu
Wenzhuo Liu
Xu-Yao Zhang
Cheng-Lin Liu
CLL
285
18
0
04 Jan 2024
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
531
5
0
19 Dec 2023
Continual learning for surface defect segmentation by subnetwork
  creation and selection
Continual learning for surface defect segmentation by subnetwork creation and selection
Aleksandr Dekhovich
Miguel A. Bessa
CLL
184
5
0
08 Dec 2023
Efficient Expansion and Gradient Based Task Inference for Replay Free
  Incremental Learning
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Soumya Roy
Vinay Kumar Verma
Deepak Gupta
CLL
339
4
0
02 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Yaoyao Liu
DiffMVLM
397
1
0
30 Nov 2023
Continual Instruction Tuning for Large Multimodal Models
Continual Instruction Tuning for Large Multimodal Models
Jinghan He
Haiyun Guo
Ming Tang
Jinqiao Wang
VLMMLLMCLLKELM
221
39
0
27 Nov 2023
Revisiting Supervision for Continual Representation Learning
Revisiting Supervision for Continual Representation LearningEuropean Conference on Computer Vision (ECCV), 2023
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
SSLCLL
360
4
0
22 Nov 2023
Wakening Past Concepts without Past Data: Class-Incremental Learning
  from Online Placebos
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online PlacebosIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLLOnRL
219
13
0
24 Oct 2023
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method
  and Application
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Bo Yuan
Danpei Zhao
3DVCLL
338
34
0
22 Oct 2023
Prior-Free Continual Learning with Unlabeled Data in the Wild
Prior-Free Continual Learning with Unlabeled Data in the Wild
Tao Zhuo
Zhiyong Cheng
Hehe Fan
Mohan S. Kankanhalli
VLMCLL
201
2
0
16 Oct 2023
Class-Incremental Learning Using Generative Experience Replay Based on
  Time-aware Regularization
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization
Zizhao Hu
Mohammad Rostami
CLLBDL
156
3
0
05 Oct 2023
Hadamard Domain Training with Integers for Class Incremental Quantized
  Learning
Hadamard Domain Training with Integers for Class Incremental Quantized Learning
Martin Schiemer
Clemens J. S. Schaefer
Jayden Parker Vap
Mark Horeni
Yu Emma Wang
Juan Ye
Siddharth Joshi
209
2
0
05 Oct 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance
  Similarity Learning
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wenke Huang
J. J. Valero-Mas
Dasaem Jeong
Bo Du
FedML
224
80
0
28 Sep 2023
E2Net: Resource-Efficient Continual Learning with Elastic Expansion
  Network
E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network
Ruiqi Liu
Boyu Diao
Libo Huang
Zhulin An
Yongjun Xu
CLL
214
0
0
28 Sep 2023
Inherit with Distillation and Evolve with Contrast: Exploring Class
  Incremental Semantic Segmentation Without Exemplar Memory
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar MemoryIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Danpei Zhao
Bo Yuan
Z. Shi
VLMCLL
260
19
0
27 Sep 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Class Incremental Learning via Likelihood Ratio Based Task PredictionInternational Conference on Learning Representations (ICLR), 2023
Haowei Lin
Yijia Shao
W. Qian
Ningxin Pan
Yiduo Guo
Bing-Quan Liu
CLL
529
18
0
26 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in
  Exemplar-Free Continual Learning
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningNeural Information Processing Systems (NeurIPS), 2023
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
381
88
0
25 Sep 2023
Adaptive Reorganization of Neural Pathways for Continual Learning with
  Spiking Neural Networks
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
Bing Han
Feifei Zhao
Wenxuan Pan
Zhaoya Zhao
Xianqi Li
Qingqun Kong
Yi Zeng
CLL
246
8
0
18 Sep 2023
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant
  Forgery Clues
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery CluesACM Multimedia (ACM MM), 2023
Kun Pan
Yifang Yin
Yao Wei
Feng Lin
Zhongjie Ba
Zhenguang Liu
Peng Kuang
Lorenzo Cavallaro
Kui Ren
CLL
333
36
0
18 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning ToolboxScience China Information Sciences (Sci China Inf Sci), 2023
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
664
47
0
13 Sep 2023
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