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Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models

Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models

13 June 2024
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
    CLL
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Papers citing "Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models"

6 / 6 papers shown
Title
Understanding the Limits of Lifelong Knowledge Editing in LLMs
Lukas Thede
Karsten Roth
Matthias Bethge
Zeynep Akata
Tom Hartvigsen
KELM
CLL
70
2
0
07 Mar 2025
How to Merge Your Multimodal Models Over Time?
How to Merge Your Multimodal Models Over Time?
Sebastian Dziadzio
Vishaal Udandarao
Karsten Roth
Ameya Prabhu
Zeynep Akata
Samuel Albanie
Matthias Bethge
MoMe
89
2
0
09 Dec 2024
How green is continual learning, really? Analyzing the energy
  consumption in continual training of vision foundation models
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models
Tomaso Trinci
Simone Magistri
Roberto Verdecchia
Andrew D. Bagdanov
CLL
26
0
0
27 Sep 2024
First Session Adaptation: A Strong Replay-Free Baseline for
  Class-Incremental Learning
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
A. Panos
Yuriko Kobe
Daniel Olmeda Reino
Rahaf Aljundi
Richard E. Turner
CLL
90
24
0
23 Mar 2023
AdaptFormer: Adapting Vision Transformers for Scalable Visual
  Recognition
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen
Chongjian Ge
Zhan Tong
Jiangliu Wang
Yibing Song
Jue Wang
Ping Luo
138
631
0
26 May 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
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