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Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class
  Incremental Learning

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning

9 December 2021
Yujun Shi
Kuangqi Zhou
Jian Liang
Zihang Jiang
Jiashi Feng
Philip Torr
Song Bai
Vincent Y. F. Tan
    CLL
ArXivPDFHTML

Papers citing "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning"

21 / 21 papers shown
Title
Human-inspired Perspectives: A Survey on AI Long-term Memory
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
177
3
0
01 Nov 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 Richness
Jaeill Kim
Wonseok Lee
Moonjung Eo
Wonjong Rhee
CLL
85
0
0
22 Mar 2024
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
110
42
0
30 May 2023
Layerwise Optimization by Gradient Decomposition for Continual Learning
Layerwise Optimization by Gradient Decomposition for Continual Learning
Shixiang Tang
Dapeng Chen
Jinguo Zhu
Shijie Yu
Wanli Ouyang
CLL
57
65
0
17 May 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
DML
149
932
0
11 May 2021
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
168
191
0
02 May 2021
On Learning the Geodesic Path for Incremental Learning
On Learning the Geodesic Path for Incremental Learning
Christian Simon
Piotr Koniusz
Mehrtash Harandi
CLL
55
121
0
17 Apr 2021
Training Networks in Null Space of Feature Covariance for Continual
  Learning
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang
Xiaorong Li
Jian Sun
Zongben Xu
CLL
81
140
0
12 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
300
2,343
0
04 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
CML
228
176
0
02 Mar 2021
Essentials for Class Incremental Learning
Essentials for Class Incremental Learning
Sudhanshu Mittal
Silvio Galesso
Thomas Brox
CLL
54
97
0
18 Feb 2021
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
75
686
0
28 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
92
219
0
10 Oct 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
67
225
0
12 Jun 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Yaoyao Liu
Yuting Su
Anan Liu
Bernt Schiele
Qianru Sun
CLL
73
344
0
24 Feb 2020
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
91
1,256
0
30 May 2019
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELM
CLL
83
1,632
0
27 Nov 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLM
CLL
115
2,711
0
26 Jun 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
348
7,498
0
02 Dec 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
286
4,400
0
29 Jun 2016
Reducing Overfitting in Deep Networks by Decorrelating Representations
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell
Faruk Ahmed
Ross B. Girshick
C. L. Zitnick
Dhruv Batra
72
414
0
19 Nov 2015
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