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Continual Learning in Linear Classification on Separable Data

Continual Learning in Linear Classification on Separable Data

6 June 2023
Itay Evron
E. Moroshko
G. Buzaglo
M. Khriesh
B. Marjieh
Nathan Srebro
Daniel Soudry
    CLL
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Papers citing "Continual Learning in Linear Classification on Separable Data"

13 / 13 papers shown
Title
Better Rates for Random Task Orderings in Continual Linear Models
Better Rates for Random Task Orderings in Continual Linear Models
Itay Evron
Ran Levinstein
Matan Schliserman
Uri Sherman
Tomer Koren
Daniel Soudry
Nathan Srebro
CLL
30
0
0
06 Apr 2025
Memory-Statistics Tradeoff in Continual Learning with Structural Regularization
Memory-Statistics Tradeoff in Continual Learning with Structural Regularization
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
30
0
0
05 Apr 2025
Global Convergence of Continual Learning on Non-IID Data
Global Convergence of Continual Learning on Non-IID Data
Fei Zhu
Yujing Liu
Wenzhuo Liu
Zhaoxiang Zhang
40
0
0
24 Mar 2025
Analysis of Overparameterization in Continual Learning under a Linear Model
Analysis of Overparameterization in Continual Learning under a Linear Model
Daniel Goldfarb
Paul Hand
CLL
39
0
0
11 Feb 2025
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental
  Learning
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
Zhongren Yao
Xiaobin Chang
18
0
0
20 Sep 2024
A Statistical Theory of Regularization-Based Continual Learning
A Statistical Theory of Regularization-Based Continual Learning
Xuyang Zhao
Huiyuan Wang
Weiran Huang
Wei Lin
27
12
0
10 Jun 2024
Last Iterate Convergence of Incremental Methods and Applications in
  Continual Learning
Last Iterate Convergence of Incremental Methods and Applications in Continual Learning
Xu Cai
Jelena Diakonikolas
25
5
0
11 Mar 2024
On the Disconnect Between Theory and Practice of Neural Networks: Limits
  of the NTK Perspective
On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective
Jonathan Wenger
Felix Dangel
Agustinus Kristiadi
25
0
0
29 Sep 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
29
46
0
16 Jul 2023
The Ideal Continual Learner: An Agent That Never Forgets
The Ideal Continual Learner: An Agent That Never Forgets
Liangzu Peng
Paris V. Giampouras
René Vidal
CLL
106
26
0
29 Apr 2023
Is forgetting less a good inductive bias for forward transfer?
Is forgetting less a good inductive bias for forward transfer?
Jiefeng Chen
Timothy Nguyen
Dilan Görür
Arslan Chaudhry
CLL
57
14
0
14 Mar 2023
Is Class-Incremental Enough for Continual Learning?
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
CLL
33
30
0
06 Dec 2021
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
99
571
0
08 Dec 2012
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