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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
Exploring Data Geometry for Continual Learning
Exploring Data Geometry for Continual LearningComputer Vision and Pattern Recognition (CVPR), 2023
Zhi Gao
C. Xu
Feng Li
Yunde Jia
Mehrtash Harandi
Yuwei Wu
CLL
163
15
0
08 Apr 2023
Cross-Class Feature Augmentation for Class Incremental Learning
Cross-Class Feature Augmentation for Class Incremental LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Taehoon Kim
Jaeyoo Park
Bohyung Han
CLL
266
10
0
04 Apr 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
On the Stability-Plasticity Dilemma of Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2023
Dongwan Kim
Bohyung Han
CLL
224
67
0
04 Apr 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for
  Few-Shot Class-Incremental Learning
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2023
Zeyin Song
Yifan Zhao
Yujun Shi
Peixi Peng
Liuliang Yuan
Yonghong Tian
CLL
237
102
0
02 Apr 2023
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch
  Sampling
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling
Ethan Wisdom
Tejas Gokhale
Chaowei Xiao
Yezhou Yang
148
0
0
30 Mar 2023
How Efficient Are Today's Continual Learning Algorithms?
How Efficient Are Today's Continual Learning Algorithms?
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
265
29
0
29 Mar 2023
Preserving Linear Separability in Continual Learning by Backward Feature
  Projection
Preserving Linear Separability in Continual Learning by Backward Feature ProjectionComputer Vision and Pattern Recognition (CVPR), 2023
Qiao Gu
Dongsub Shim
Florian Shkurti
CLLKELM
243
17
0
26 Mar 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
Class-Incremental Exemplar Compression for Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2023
Zilin Luo
Yaoyao Liu
Bernt Schiele
Qianru Sun
VLMCLL
327
65
0
24 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
223
3
0
24 Mar 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical
  Images
Leveraging Old Knowledge to Continually Learn New Classes in Medical ImagesAAAI Conference on Artificial Intelligence (AAAI), 2023
Evelyn Chee
Yang Deng
Wynne Hsu
CLL
126
12
0
24 Mar 2023
First Session Adaptation: A Strong Replay-Free Baseline for
  Class-Incremental Learning
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2023
A. Panos
Yuriko Kobe
Daniel Olmeda Reino
Rahaf Aljundi
Richard Turner
CLL
540
52
0
23 Mar 2023
Dense Network Expansion for Class Incremental Learning
Dense Network Expansion for Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2023
Zhiyuan Hu
Yunsheng Li
J. Lyu
Dashan Gao
Nuno Vasconcelos
CLL
257
65
0
22 Mar 2023
Computationally Budgeted Continual Learning: What Does Matter?
Computationally Budgeted Continual Learning: What Does Matter?Computer Vision and Pattern Recognition (CVPR), 2023
Christian Schroeder de Witt
Hasan Hammoud
P. Dokania
Juil Sock
Ser-Nam Lim
Guohao Li
Adel Bibi
CLL
167
78
0
20 Mar 2023
SIESTA: Efficient Online Continual Learning with Sleep
SIESTA: Efficient Online Continual Learning with Sleep
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Ronald Kemker
Christopher Kanan
CLL
402
26
0
19 Mar 2023
Partial Network Cloning
Partial Network CloningComputer Vision and Pattern Recognition (CVPR), 2023
Jingwen Ye
Songhua Liu
Xinchao Wang
CLL
215
16
0
19 Mar 2023
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks
  in Continual Learning
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual LearningComputer Vision and Pattern Recognition (CVPR), 2023
Sang-Ho Kim
Lorenzo Noci
Antonio Orvieto
Thomas Hofmann
CLL
171
57
0
16 Mar 2023
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual
  Learning
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zhuowei Li
Long Zhao
Zizhao Zhang
Han Zhang
Diya Liu
Ting Liu
Dimitris N. Metaxas
CLLVLM
273
33
0
16 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual LearningIEEE International Conference on Computer Vision (ICCV), 2023
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
294
31
0
14 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedInternational Journal of Computer Vision (IJCV), 2023
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
235
168
0
13 Mar 2023
PromptFusion: Decoupling Stability and Plasticity for Continual Learning
PromptFusion: Decoupling Stability and Plasticity for Continual LearningEuropean Conference on Computer Vision (ECCV), 2023
Haoran Chen
Zuxuan Wu
Xintong Han
Menglin Jia
Yu-Gang Jiang
CLL
329
21
0
13 Mar 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of
  Vision-Language Models
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Zangwei Zheng
Mingyu Ma
Kai Wang
Ziheng Qin
Xiangyu Yue
Yang You
CLLVLM
424
107
0
12 Mar 2023
Knowledge Restore and Transfer for Multi-label Class-Incremental
  Learning
Knowledge Restore and Transfer for Multi-label Class-Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2023
Songlin Dong
Haoyu Luo
Yuhang He
Xing Wei
Yihong Gong
KELMCLL
369
11
0
26 Feb 2023
Detachedly Learn a Classifier for Class-Incremental Learning
Detachedly Learn a Classifier for Class-Incremental Learning
Ziheng Li
Shibo Jie
Zhi-Hong Deng
CLLSSL
153
0
0
23 Feb 2023
No One Left Behind: Real-World Federated Class-Incremental Learning
No One Left Behind: Real-World Federated Class-Incremental LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jiahua Dong
Hongliu Li
Yang Cong
Gan Sun
Yulun Zhang
Dengxin Dai
FedMLCLL
390
72
0
02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
787
1,104
0
31 Jan 2023
Towards Continual Egocentric Activity Recognition: A Multi-modal
  Egocentric Activity Dataset for Continual Learning
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual LearningIEEE transactions on multimedia (IEEE TMM), 2023
Linfeng Xu
Qingbo Wu
Lili Pan
Fanman Meng
Hongliang Li
Chiyuan He
Hanxin Wang
Shaoxu Cheng
Yunshu Dai
EgoVHAI
165
39
0
26 Jan 2023
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty
  for Continual Learning
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual LearningACM Cloud and Autonomic Computing Conference (CAC), 2023
Kanghao Chen
Sijia Liu
Ruixuan Wang
Weishi Zheng
KELMCLL
108
0
0
18 Jan 2023
Online Hyperparameter Optimization for Class-Incremental Learning
Online Hyperparameter Optimization for Class-Incremental LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLL
231
43
0
11 Jan 2023
Resolving Task Confusion in Dynamic Expansion Architectures for Class
  Incremental Learning
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Bin Huang
Zhineng Chen
Peng Zhou
Jiayin Chen
Zuxuan Wu
CLL
171
26
0
29 Dec 2022
A Unified Object Counting Network with Object Occupation Prior
A Unified Object Counting Network with Object Occupation Prior
Shengqin Jiang
Qing Wang
Fengna Cheng
Yuankai Qi
Qingshan Liu
389
8
0
29 Dec 2022
Lifelong Person Re-Identification via Knowledge Refreshing and
  Consolidation
Lifelong Person Re-Identification via Knowledge Refreshing and ConsolidationAAAI Conference on Artificial Intelligence (AAAI), 2022
Chunlin Yu
Ye-ling Shi
Zimo Liu
Shenghua Gao
Jingya Wang
KELMCLL
261
49
0
29 Nov 2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning
  without Interference
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without InterferenceAAAI Conference on Artificial Intelligence (AAAI), 2022
Yabin Wang
Zhiheng Ma
Zhiwu Huang
Yaowei Wang
Zhou Su
Xiaopeng Hong
200
61
0
29 Nov 2022
Progressive Learning without Forgetting
Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
Ziyuan Huang
Ang Bian
Jianzhou Zhang
CLLKELM
282
5
0
28 Nov 2022
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
CoMFormer: Continual Learning in Semantic and Panoptic SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
Fabio Cermelli
Matthieu Cord
Arthur Douillard
CLLVLM
226
37
0
25 Nov 2022
Integral Continual Learning Along the Tangent Vector Field of Tasks
Integral Continual Learning Along the Tangent Vector Field of Tasks
Tianlin Liu
Aditya Golatkar
Stefano Soatto
Alessandro Achille
CLL
256
3
0
23 Nov 2022
Exemplar-free Continual Learning of Vision Transformers via Gated
  Class-Attention and Cascaded Feature Drift Compensation
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift CompensationInternational Journal of Computer Vision (IJCV), 2022
Marco Cotogni
Fei Yang
C. Cusano
Andrew D. Bagdanov
Joost van de Weijer
CLL
264
2
0
22 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
408
2
0
21 Nov 2022
An Investigation of the Combination of Rehearsal and Knowledge
  Distillation in Continual Learning for Spoken Language Understanding
An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language UnderstandingInterspeech (Interspeech), 2022
Umberto Cappellazzo
Daniele Falavigna
Alessio Brutti
CLL
232
3
0
15 Nov 2022
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual LearningNeural Information Processing Systems (NeurIPS), 2022
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Yinan Han
CLL
212
92
0
04 Nov 2022
Generative Negative Text Replay for Continual Vision-Language
  Pretraining
Generative Negative Text Replay for Continual Vision-Language PretrainingEuropean Conference on Computer Vision (ECCV), 2022
Shipeng Yan
Lanqing Hong
Hang Xu
Jianhua Han
Tinne Tuytelaars
Zhenguo Li
Xuming He
VLMCLLCLIP
173
24
0
31 Oct 2022
Learning with Style: Continual Semantic Segmentation Across Tasks and
  Domains
Learning with Style: Continual Semantic Segmentation Across Tasks and DomainsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
CLLVLM
250
15
0
13 Oct 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
201
17
0
11 Oct 2022
A Memory Transformer Network for Incremental Learning
A Memory Transformer Network for Incremental LearningBritish Machine Vision Conference (BMVC), 2022
Ahmet Iscen
Thomas Bird
Mathilde Caron
Alireza Fathi
Cordelia Schmid
CLL
294
15
0
10 Oct 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal Thengane
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
BDLVLMCLL
291
67
0
06 Oct 2022
Long-Tailed Class Incremental Learning
Long-Tailed Class Incremental LearningEuropean Conference on Computer Vision (ECCV), 2022
Xialei Liu
Yu-Song Hu
Xuezhi Cao
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
312
49
0
01 Oct 2022
SparCL: Sparse Continual Learning on the Edge
SparCL: Sparse Continual Learning on the EdgeNeural Information Processing Systems (NeurIPS), 2022
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
278
77
0
20 Sep 2022
Anti-Retroactive Interference for Lifelong Learning
Anti-Retroactive Interference for Lifelong LearningEuropean Conference on Computer Vision (ECCV), 2022
Runqi Wang
Yuxiang Bao
Baochang Zhang
Jianzhuang Liu
Wentao Zhu
Guodong Guo
KELMCLL
168
25
0
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A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
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Zixuan Ke
Yinan Han
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210
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Continual Prune-and-Select: Class-incremental learning with specialized
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Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
196
21
0
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Class-Incremental Learning with Cross-Space Clustering and Controlled
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Class-Incremental Learning with Cross-Space Clustering and Controlled TransferEuropean Conference on Computer Vision (ECCV), 2022
Arjun Ashok
K. J. Joseph
V. Balasubramanian
CLL
208
33
0
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