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Do Pre-trained Models Benefit Equally in Continual Learning?

Do Pre-trained Models Benefit Equally in Continual Learning?

27 October 2022
Kuan-Ying Lee
Yuanyi Zhong
Yu-xiong Wang
    CLL
ArXivPDFHTML

Papers citing "Do Pre-trained Models Benefit Equally in Continual Learning?"

14 / 14 papers shown
Title
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Zhenrong Liu
J. Huttunen
M. Honkala
CLL
34
0
0
13 May 2025
Parameter-Efficient Continual Fine-Tuning: A Survey
Parameter-Efficient Continual Fine-Tuning: A Survey
Eric Nuertey Coleman
Luigi Quarantiello
Ziyue Liu
Qinwen Yang
Samrat Mukherjee
J. Hurtado
Vincenzo Lomonaco
CLL
27
0
0
18 Apr 2025
Does RoBERTa Perform Better than BERT in Continual Learning: An
  Attention Sink Perspective
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective
Xueying Bai
Yifan Sun
Niranjan Balasubramanian
CLL
14
0
0
08 Oct 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online
  Continual Learning
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
Xinrui Wang
Chuanxing Geng
Wenhai Wan
Shao-yuan Li
Songcan Chen
CLL
32
2
0
28 Sep 2024
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
Yi Yang
Lei Zhong
Huiping Zhuang
3DPC
CLL
29
0
0
18 Sep 2024
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment
  and Parameter Fusion
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang
Xusheng Cao
Haori Lu
Xialei Liu
CLL
40
11
0
19 Jul 2024
An Empirical Analysis of Forgetting in Pre-trained Models with
  Incremental Low-Rank Updates
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates
Albin Soutif--Cormerais
Simone Magistri
J. Weijer
Andew D. Bagdanov
27
1
0
28 May 2024
Watch Your Step: Optimal Retrieval for Continual Learning at Scale
Watch Your Step: Optimal Retrieval for Continual Learning at Scale
Truman Hickok
Dhireesha Kudithipudi
30
0
0
16 Apr 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
34
0
0
18 Mar 2024
Reawakening knowledge: Anticipatory recovery from catastrophic
  interference via structured training
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
Yanlai Yang
Matt Jones
Michael C. Mozer
Mengye Ren
51
1
0
14 Mar 2024
Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad
  Traversability Models
Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models
Eric Chen
Cherie Ho
Mukhtar Maulimov
Chen Wang
S. Scherer
13
9
0
27 Jun 2023
Overcoming the Stability Gap in Continual Learning
Overcoming the Stability Gap in Continual Learning
Md Yousuf Harun
Christopher Kanan
AI4CE
30
6
0
02 Jun 2023
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
69
37
0
30 May 2023
Knowledge Accumulation in Continually Learned Representations and the
  Issue of Feature Forgetting
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
Timm Hess
Eli Verwimp
Gido M. van de Ven
Tinne Tuytelaars
CLL
10
7
0
03 Apr 2023
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