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Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent
  Kernel Perspective

Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective

24 July 2024
Jingren Liu
Zhong Ji
Yunlong Yu
Jiale Cao
Yanwei Pang
Jungong Han
Xuelong Li
    CLL
ArXivPDFHTML

Papers citing "Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective"

14 / 14 papers shown
Title
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
Numan Saeed
Shahad Hardan
Muhammad Ridzuan
Nada Saadi
Karthik Nandakumar
Mohammad Yaqub
MedIm
44
0
0
18 Apr 2025
The Platonic Representation Hypothesis
The Platonic Representation Hypothesis
Minyoung Huh
Brian Cheung
Tongzhou Wang
Phillip Isola
72
107
0
13 May 2024
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
Yan-Shuo Liang
Wu-Jun Li
CLL
24
38
0
30 Mar 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
127
301
0
21 Mar 2024
Unveiling the Generalization Power of Fine-Tuned Large Language Models
Unveiling the Generalization Power of Fine-Tuned Large Language Models
Haoran Yang
Yumeng Zhang
Jiaqi Xu
Hongyuan Lu
Pheng Ann Heng
Wai Lam
38
7
0
14 Mar 2024
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental
  Learning
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
Simone Magistri
Tomaso Trinci
Albin Soutif--Cormerais
J. Weijer
Andrew D. Bagdanov
19
18
0
06 Feb 2024
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class
  Incremental Learning
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning
Jiang-Tian Zhai
Xialei Liu
Lu Yu
Ming-Ming Cheng
CLL
16
8
0
20 Dec 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
255
7,337
0
11 Nov 2021
Formalizing the Generalization-Forgetting Trade-off in Continual
  Learning
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Krishnan Raghavan
Prasanna Balaprakash
CLL
46
28
0
28 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
319
2,108
0
02 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
154
676
0
22 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
2,875
0
11 Feb 2021
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
125
199
0
07 Feb 2020
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