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2112.01653
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Learning Curves for Continual Learning in Neural Networks: Self-Knowledge Transfer and Forgetting
3 December 2021
Ryo Karakida
S. Akaho
CLL
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ArXiv
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Papers citing
"Learning Curves for Continual Learning in Neural Networks: Self-Knowledge Transfer and Forgetting"
10 / 10 papers shown
Title
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Jingren Liu
Zhong Ji
Yunlong Yu
Jiale Cao
Yanwei Pang
Jungong Han
X. Li
CLL
39
3
0
24 Jul 2024
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Lior Friedman
Ron Meir
75
0
0
13 Jun 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning
Naoki Hiratani
CLL
35
2
0
30 May 2024
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
Xisen Jin
Xiang Ren
KELM
CLL
23
6
0
02 Feb 2024
Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation
Jingrui Hou
Georgina Cosma
Axel Finke
CLL
16
1
0
16 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
34
48
0
16 Jul 2023
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
OODD
29
12
0
20 Apr 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
38
601
0
31 Jan 2023
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
21
70
0
04 Nov 2022
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
144
201
0
07 Feb 2020
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