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Continual Learning in the Teacher-Student Setup: Impact of Task
  Similarity

Continual Learning in the Teacher-Student Setup: Impact of Task Similarity

9 July 2021
Sebastian Lee
Sebastian Goldt
Andrew M. Saxe
    CLL
ArXivPDFHTML

Papers citing "Continual Learning in the Teacher-Student Setup: Impact of Task Similarity"

16 / 16 papers shown
Title
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
107
0
0
27 Mar 2025
Theory on Mixture-of-Experts in Continual Learning
Theory on Mixture-of-Experts in Continual Learning
Hongbo Li
Sen-Fon Lin
Lingjie Duan
Yingbin Liang
Ness B. Shroff
MoE
MoMe
CLL
153
14
0
20 Feb 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
63
0
0
16 Feb 2025
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization
Wei Yao
Wenkai Yang
Zhilin Wang
Yankai Lin
Yong Liu
ELM
107
1
0
03 Feb 2025
Buffer-based Gradient Projection for Continual Federated Learning
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
75
2
0
03 Sep 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual
  Learning
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning
Naoki Hiratani
CLL
35
2
0
30 May 2024
Chunking: Continual Learning is not just about Distribution Shift
Chunking: Continual Learning is not just about Distribution Shift
Thomas L. Lee
Amos Storkey
25
1
0
03 Oct 2023
The RL Perceptron: Generalisation Dynamics of Policy Learning in High
  Dimensions
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
Nishil Patel
Sebastian Lee
Stefano Sarao Mannelli
Sebastian Goldt
Adrew Saxe
OffRL
28
3
0
17 Jun 2023
Fixed Design Analysis of Regularization-Based Continual Learning
Fixed Design Analysis of Regularization-Based Continual Learning
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
26
9
0
17 Mar 2023
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
24
70
0
04 Nov 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
24
28
0
12 Oct 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
32
27
0
15 Jul 2022
The Effect of Task Ordering in Continual Learning
The Effect of Task Ordering in Continual Learning
Samuel J. Bell
Neil D. Lawrence
CLL
48
17
0
26 May 2022
Modelling continual learning in humans with Hebbian context gating and
  exponentially decaying task signals
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Timo Flesch
D. G. Nagy
Andrew M. Saxe
Christopher Summerfield
28
34
0
22 Mar 2022
Learning Curves for Continual Learning in Neural Networks:
  Self-Knowledge Transfer and Forgetting
Learning Curves for Continual Learning in Neural Networks: Self-Knowledge Transfer and Forgetting
Ryo Karakida
S. Akaho
CLL
29
11
0
03 Dec 2021
Behavioral Experiments for Understanding Catastrophic Forgetting
Behavioral Experiments for Understanding Catastrophic Forgetting
Samuel J. Bell
Neil D. Lawrence
27
4
0
20 Oct 2021
1