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CPR: Classifier-Projection Regularization for Continual Learning

CPR: Classifier-Projection Regularization for Continual Learning

12 June 2020
Sungmin Cha
Hsiang Hsu
Taebaek Hwang
Flavio du Pin Calmon
Taesup Moon
    CLL
ArXivPDFHTML

Papers citing "CPR: Classifier-Projection Regularization for Continual Learning"

24 / 24 papers shown
Title
Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning
Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning
Shunjie Wen
Thomas Heinis
Dong-Wan Choi
CLL
61
0
0
29 Apr 2025
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Gangwei Jiang
Caigao Jiang
Zhaoyi Li
Siqiao Xue
Jun-ping Zhou
Linqi Song
Defu Lian
Yin Wei
CLL
MU
65
1
0
16 Feb 2025
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Yupeng Chen
Senmiao Wang
Zhihang Lin
Zhihang Lin
Yushun Zhang
Tian Ding
Ruoyu Sun
Ruoyu Sun
CLL
85
3
0
30 Jul 2024
Hyperparameters in Continual Learning: A Reality Check
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha
Kyunghyun Cho
CLL
71
3
0
14 Mar 2024
Mitigating Catastrophic Forgetting in Large Language Models with
  Self-Synthesized Rehearsal
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
Jianheng Huang
Leyang Cui
Ante Wang
Chengyi Yang
Xinting Liao
Linfeng Song
Junfeng Yao
Jinsong Su
KELM
CLL
39
35
0
02 Mar 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free
  Class-Incremental Learning
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang
Chun-Fu Chen
Hsiang Hsu
VLM
28
11
0
06 Feb 2024
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
32
3
0
20 Dec 2023
GeNAS: Neural Architecture Search with Better Generalization
GeNAS: Neural Architecture Search with Better Generalization
Joonhyun Jeong
Joonsang Yu
Geondo Park
Dongyoon Han
Y. Yoo
30
4
0
15 May 2023
Assessor-Guided Learning for Continual Environments
Assessor-Guided Learning for Continual Environments
M. A. Ma'sum
Mahardhika Pratama
E. Lughofer
Weiping Ding
W. Jatmiko
36
13
0
21 Mar 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained
  Classifiers
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
Sungmin Cha
Sungjun Cho
Dasol Hwang
Honglak Lee
Taesup Moon
Moontae Lee
MU
49
36
0
27 Jan 2023
Towards More Robust Interpretation via Local Gradient Alignment
Towards More Robust Interpretation via Local Gradient Alignment
Sunghwan Joo
Seokhyeon Jeong
Juyeon Heo
Adrian Weller
Taesup Moon
FAtt
38
5
0
29 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization
Cross-Domain Ensemble Distillation for Domain Generalization
Kyung-Jin Lee
Sungyeon Kim
Suha Kwak
FedML
OOD
28
38
0
25 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
31
8
0
14 Nov 2022
Scalable Adversarial Online Continual Learning
Scalable Adversarial Online Continual Learning
T. Dam
Mahardhika Pratama
Md Meftahul Ferdaus
S. Anavatti
Hussein Abbas
CLL
38
3
0
04 Sep 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
37
27
0
15 Jul 2022
Towards Diverse Evaluation of Class Incremental Learning: A
  Representation Learning Perspective
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective
Sungmin Cha
Jihwan Kwak
Dongsub Shim
Hyunwoo J. Kim
Moontae Lee
Honglak Lee
Taesup Moon
CLL
33
1
0
16 Jun 2022
Alleviating Representational Shift for Continual Fine-tuning
Alleviating Representational Shift for Continual Fine-tuning
Shibo Jie
Zhi-Hong Deng
Ziheng Li
CLL
45
11
0
22 Apr 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
34
128
0
03 Jan 2022
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits
  Continual Learning
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Danruo Deng
Guangyong Chen
Jianye Hao
Qiong Wang
Pheng-Ann Heng
CLL
AAML
24
77
0
09 Oct 2021
Observations on K-image Expansion of Image-Mixing Augmentation for
  Classification
Observations on K-image Expansion of Image-Mixing Augmentation for Classification
Joonhyun Jeong
Sungmin Cha
Jongwon Choi
Sangdoo Yun
Taesup Moon
Y. Yoo
VLM
25
6
0
08 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
30
73
0
23 Sep 2021
Towards Generalized and Incremental Few-Shot Object Detection
Towards Generalized and Incremental Few-Shot Object Detection
Yiting Li
H. Zhu
Jun Ma
C. Teo
Chen Xiang
P. Vadakkepat
T. Lee
CLL
ObjD
28
9
0
23 Sep 2021
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
33
114
0
14 Jun 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
310
2,896
0
15 Sep 2016
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