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Theory on Forgetting and Generalization of Continual Learning

Theory on Forgetting and Generalization of Continual Learning

International Conference on Machine Learning (ICML), 2023
12 February 2023
Sen Lin
Peizhong Ju
Yitao Liang
Ness B. Shroff
    CLL
ArXiv (abs)PDFHTML

Papers citing "Theory on Forgetting and Generalization of Continual Learning"

36 / 36 papers shown
HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
Hongchi Xia
Chih-Hao Lin
Hao-Yu Hsu
Quentin Leboutet
Katelyn Gao
Michael Paulitsch
Benjamin Ummenhofer
Shenlong Wang
VGen
128
0
0
07 Oct 2025
The Lie of the Average: How Class Incremental Learning Evaluation Deceives You?
The Lie of the Average: How Class Incremental Learning Evaluation Deceives You?
Guannan Lai
Da-Wei Zhou
Xin Yang
Han-Jia Ye
CLL
99
0
0
26 Sep 2025
AnalogSeeker: An Open-source Foundation Language Model for Analog Circuit Design
AnalogSeeker: An Open-source Foundation Language Model for Analog Circuit Design
Zihao Chen
Ji Zhuang
Jinyi Shen
Xiaoyue Ke
Xinyi Yang
...
Zhenyu Xu
J. Huang
L. Shang
Xuan Zeng
Fan Yang
124
2
0
14 Aug 2025
On Understanding of the Dynamics of Model Capacity in Continual Learning
On Understanding of the Dynamics of Model Capacity in Continual Learning
Supriyo Chakraborty
Krishnan Raghavan
188
0
0
11 Aug 2025
Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime
Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime
Amit Attia
Matan Schliserman
Uri Sherman
Tomer Koren
387
3
0
15 Jul 2025
The Importance of Being Lazy: Scaling Limits of Continual Learning
The Importance of Being Lazy: Scaling Limits of Continual Learning
Jacopo Graldi
Alessandro Breccia
Giulia Lanzillotta
Thomas Hofmann
Lorenzo Noci
CLL
311
1
0
20 Jun 2025
ErrorEraser: Unlearning Data Bias for Improved Continual Learning
ErrorEraser: Unlearning Data Bias for Improved Continual LearningKnowledge Discovery and Data Mining (KDD), 2025
Xuemei Cao
Hanlin Gu
Xin Yang
Bingjun Wei
Haoyang Liang
Xiangkun Wang
Tianrui Li
CLLKELMMU
189
2
0
11 Jun 2025
Optimal Rates in Continual Linear Regression via Increasing Regularization
Optimal Rates in Continual Linear Regression via Increasing Regularization
Ran Levinstein
Amit Attia
Matan Schliserman
Uri Sherman
Tomer Koren
Daniel Soudry
Itay Evron
CLL
189
2
0
06 Jun 2025
Replay Can Provably Increase Forgetting
Yasaman Mahdaviyeh
James Lucas
Mengye Ren
A. Tolias
R. Zemel
T. Pitassi
KELMCLL
241
1
0
04 Jun 2025
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
Junze Deng
Qinhang Wu
Peizhong Ju
Sen Lin
Yingbin Liang
Ness B. Shroff
CLL
243
1
0
30 May 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
256
2
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
Rundong Wang
283
0
0
24 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity GroupingComputer Vision and Pattern Recognition (CVPR), 2025
Guannan Lai
Yujie Li
Xiangkun Wang
Jing Zhang
Tianrui Li
Xin Yang
CLL
354
6
0
27 Feb 2025
Theory on Mixture-of-Experts in Continual Learning
Theory on Mixture-of-Experts in Continual LearningInternational Conference on Learning Representations (ICLR), 2024
Hongbo Li
Sen-Fon Lin
Lingjie Duan
Yingbin Liang
Ness B. Shroff
MoEMoMeCLL
584
39
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 TuningInternational Conference on Learning Representations (ICLR), 2025
Gangwei Jiang
Caigao Jiang
Zhaoyi Li
Siqiao Xue
Jun-ping Zhou
Linqi Song
Defu Lian
Yin Wei
CLLMU
436
8
0
16 Feb 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
207
1
0
11 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning
T. Nguyen
Cuong N. Nguyen
Quang Pham
B. T. Nguyen
Savitha Ramasamy
Xiaoli Li
Cuong V Nguyen
261
1
0
10 Feb 2025
Algorithm Design for Continual Learning in IoT Networks
Algorithm Design for Continual Learning in IoT NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Shugang Hao
Lingjie Duan
CLL
515
1
0
22 Dec 2024
Aligning Generalisation Between Humans and Machines
Aligning Generalisation Between Humans and Machines
Filip Ilievski
Barbara Hammer
F. V. Harmelen
Benjamin Paassen
S. Saralajew
...
Vered Shwartz
Gabriella Skitalinskaya
Clemens Stachl
Gido M. van de Ven
T. Villmann
697
5
0
23 Nov 2024
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized RegimesMachine-mediated learning (ML), 2024
Ruikai Yang
Mingzhen He
Zhengbao He
Youmei Qiu
Xiaolin Huang
MUBDL
313
2
0
11 Oct 2024
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental
  Learning
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental LearningChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2024
Zhongren Yao
Xiaobin Chang
183
0
0
20 Sep 2024
Can We Theoretically Quantify the Impacts of Local Updates on the
  Generalization Performance of Federated Learning?
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?ACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2024
Peizhong Ju
Haibo Yang
Jia Liu
Yingbin Liang
Ness B. Shroff
FedML
300
1
0
05 Sep 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade
Mahdi Soltanolkotabi
Mohammad Rostami
CLLLRM
569
7
0
29 Aug 2024
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias
  Adaptors from a Bi-level Optimization Perspective
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective
Quanziang Wang
Renzhen Wang
Yichen Wu
Xixi Jia
Minghao Zhou
Deyu Meng
232
1
0
26 Aug 2024
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Jingren Liu
Zhong Ji
YunLong Yu
Jiale Cao
Yanwei Pang
Jungong Han
Xuelong Li
CLL
350
5
0
24 Jul 2024
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Lior Friedman
Ron Meir
411
0
0
13 Jun 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
286
27
0
10 Jun 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
307
6
0
30 May 2024
Understanding Forgetting in Continual Learning with Linear Regression
Understanding Forgetting in Continual Learning with Linear Regression
Meng Ding
Kaiyi Ji
Haiyan Zhao
Jinhui Xu
CLL
304
15
0
27 May 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
299
7
0
11 Mar 2024
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based
  Action Recognition
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition
Wei Wei
Tom De Schepper
Kevin Mets
304
4
0
31 Jan 2024
Distributed Continual Learning with CoCoA in High-dimensional Linear
  Regression
Distributed Continual Learning with CoCoA in High-dimensional Linear RegressionIEEE Transactions on Signal Processing (IEEE TSP), 2023
Martin Hellkvist
Ayça Özçelikkale
Anders Ahlén
OOD
233
2
0
04 Dec 2023
Analysis of the Memorization and Generalization Capabilities of AI
  Agents: Are Continual Learners Robust?
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Minsu Kim
Walid Saad
206
4
0
18 Sep 2023
Fixed Design Analysis of Regularization-Based Continual Learning
Fixed Design Analysis of Regularization-Based Continual Learning
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
225
18
0
17 Mar 2023
Learning to Learn: How to Continuously Teach Humans and Machines
Learning to Learn: How to Continuously Teach Humans and MachinesIEEE International Conference on Computer Vision (ICCV), 2022
Parantak Singh
You Li
Ankur Sikarwar
Weixian Lei
Daniel Gao
Morgan B. Talbot
Ying Sun
Mike Zheng Shou
Gabriel Kreiman
Mengmi Zhang
CLL
274
7
0
28 Nov 2022
Review learning: Real world validation of privacy preserving continual learning across medical institutions
Review learning: Real world validation of privacy preserving continual learning across medical institutions
Jaesung Yoo
Sung-Hyuk Choi
Yewon Yang
Suhyeon Kim
J. Choi
...
H. J. Joo
Dae-Jung Kim
R. Park
Hyeong-Jin Yoon
Kwangsoo Kim
OffRLKELM
206
0
0
17 Oct 2022
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