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Incremental Learning via Rate Reduction

Incremental Learning via Rate Reduction

Computer Vision and Pattern Recognition (CVPR), 2020
30 November 2020
Ziyang Wu
Christina Baek
Chong You
Yi-An Ma
    CLL
ArXiv (abs)PDFHTML

Papers citing "Incremental Learning via Rate Reduction"

18 / 18 papers shown
Lifelong Learning with Behavior Consolidation for Vehicle Routing
Lifelong Learning with Behavior Consolidation for Vehicle Routing
Jiyuan Pei
Yi Mei
Jialin Liu
Mengjie Zhang
Xin Yao
CLL
345
1
0
26 Sep 2025
Task-conditioned Ensemble of Expert Models for Continuous Learning
Task-conditioned Ensemble of Expert Models for Continuous Learning
Renu Sharma
Debasmita Pal
Arun Ross
OODKELM
1.0K
0
0
11 Apr 2025
Rebalancing Multi-Label Class-Incremental Learning
Rebalancing Multi-Label Class-Incremental LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Kaile Du
Yifan Zhou
Fan Lyu
Yuyang Li
Junzhou Xie
Yixi Shen
Fuyuan Hu
Guangcan Liu
CLL
179
4
0
22 Aug 2024
Never-Ending Behavior-Cloning Agent for Robotic Manipulation
Never-Ending Behavior-Cloning Agent for Robotic Manipulation
Wenqi Liang
Gan Sun
Qian He
Yu Ren
Jiahua Dong
Yang Cong
LM&Ro
313
8
0
01 Mar 2024
Towards Robust Graph Incremental Learning on Evolving Graphs
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su
Difan Zou
Zijun Zhang
Chuan Wu
CLLOOD
303
36
0
20 Feb 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
414
10
0
12 Jan 2024
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2023
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
438
27
0
07 Aug 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
916
1,219
0
31 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning
RMM: Reinforced Memory Management for Class-Incremental LearningNeural Information Processing Systems (NeurIPS), 2023
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
229
125
0
14 Jan 2023
A classification performance evaluation measure considering data
  separability
A classification performance evaluation measure considering data separability
Lingyan Xue
Xinyu Zhang
Weidong Jiang
K. Huo
134
2
0
10 Nov 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
420
103
0
08 Jun 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
FOSTER: Feature Boosting and Compression for Class-Incremental LearningEuropean Conference on Computer Vision (ECCV), 2022
Fu Lee Wang
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
388
389
0
10 Apr 2022
Incremental Learning of Structured Memory via Closed-Loop Transcription
Incremental Learning of Structured Memory via Closed-Loop TranscriptionInternational Conference on Learning Representations (ICLR), 2022
Shengbang Tong
Xili Dai
Ziyang Wu
Mingyang Li
Brent Yi
Yi-An Ma
CLL
366
22
0
11 Feb 2022
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai
Shengbang Tong
Mingyang Li
Ziyang Wu
Michael Psenka
...
Pengyuan Zhai
Yaodong Yu
Xiaojun Yuan
Harry Shum
Yi-An Ma
312
32
0
12 Nov 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An OverviewIET Computer Vision (ICV), 2021
Haoxuan Qu
Hossein Rahmani
Kepeng Xu
Bryan M. Williams
Jun Liu
VLMCLL
620
103
0
23 Sep 2021
Co-Transport for Class-Incremental Learning
Co-Transport for Class-Incremental LearningACM Multimedia (ACM MM), 2021
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
334
93
0
27 Jul 2021
Understanding Neural Networks with Logarithm Determinant Entropy
  Estimator
Understanding Neural Networks with Logarithm Determinant Entropy Estimator
Zhanghao Zhouyin
Ding Liu
FAtt
222
9
0
08 May 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial
  Networks
CAM-GAN: Continual Adaptation Modules for Generative Adversarial NetworksNeural Information Processing Systems (NeurIPS), 2021
Sakshi Varshney
Vinay Kumar Verma
K. SrijithP.
Lawrence Carin
Piyush Rai
GANCLL
182
24
0
06 Mar 2021
1
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