ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.01917
  4. Cited By
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning

Strong Baselines for Parameter Efficient Few-Shot Fine-tuning

4 April 2023
S. Basu
Daniela Massiceti
S. Hu
S. Feizi
    VLM
ArXivPDFHTML

Papers citing "Strong Baselines for Parameter Efficient Few-Shot Fine-tuning"

23 / 23 papers shown
Title
DAPE: Dual-Stage Parameter-Efficient Fine-Tuning for Consistent Video Editing with Diffusion Models
DAPE: Dual-Stage Parameter-Efficient Fine-Tuning for Consistent Video Editing with Diffusion Models
Junhao Xia
Chaoyang Zhang
Yecheng Zhang
Chengyang Zhou
Zhichang Wang
Bochun Liu
Dongshuo Yin
DiffM
VGen
31
0
0
11 May 2025
Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images
Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images
Tristan Piater
Björn Barz
Alexander Freytag
VLM
MedIm
64
0
0
23 Apr 2025
Split Adaptation for Pre-trained Vision Transformers
Lixu Wang
Bingqi Shang
Y. Li
Payal Mohapatra
Wei Dong
Xiao-Xu Wang
Qi Zhu
ViT
43
0
0
01 Mar 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
46
8
0
23 Jan 2025
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision
  Transformer
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer
Zheng Liu
Jinchao Zhu
Nannan Li
Gao Huang
27
0
0
21 Sep 2024
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical
  Image Analysis via Target Parameter Pre-training
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training
Xingliang Lei
Yiwen Ye
Ziyang Chen
Minglei Shu
Yong Xia
40
1
0
27 Aug 2024
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
Raman Dutt
Pedro Sanchez
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
36
0
0
29 May 2024
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning
  for Medical Diagnosis
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis
Mingyuan Liu
Lu Xu
Shengnan Liu
Jicong Zhang
44
1
0
28 May 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Royson Lee
Javier Fernandez-Marques
S. Hu
Da Li
Stefanos Laskaridis
L. Dudziak
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
36
3
0
23 May 2024
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain
  Modality Forecasting
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting
Divij Gupta
Anubhav Bhatti
Surajsinh Parmar
Chen Dan
Yuwei Liu
Bingjie Shen
San Lee
AI4TS
37
2
0
16 May 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
80
14
0
15 Apr 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through
  Sparse Interpolated Experts
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Shengzhuang Chen
Jihoon Tack
Yunqiao Yang
Yee Whye Teh
Jonathan Richard Schwarz
Ying Wei
MoE
35
1
0
13 Mar 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space
  Adaptation for Cross-Domain Few-Shot Learning
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
Rashindrie Perera
Saman K. Halgamuge
48
2
0
07 Mar 2024
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Yi Xin
Jianjiang Yang
Haodi Zhou
Junlong Du
Junlong Du
Yue Fan
Qing Li
Qing Li
Yuntao Du
VLM
73
75
0
03 Feb 2024
Explaining CLIP's performance disparities on data from blind/low vision
  users
Explaining CLIP's performance disparities on data from blind/low vision users
Daniela Massiceti
Camilla Longden
Agnieszka Slowik
Samuel Wills
Martin Grayson
C. Morrison
VLM
24
9
0
29 Nov 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in
  Medical Image Analysis
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
Raman Dutt
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
16
14
0
08 Oct 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in
  Vision Transformers
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
Thomas De Min
Massimiliano Mancini
Alahari Karteek
Xavier Alameda-Pineda
Elisa Ricci
CLL
26
9
0
18 Aug 2023
Distilling Knowledge from Text-to-Image Generative Models Improves
  Visio-Linguistic Reasoning in CLIP
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
S. Basu
S. Hu
Maziar Sanjabi
Daniela Massiceti
S. Feizi
VLM
21
3
0
18 Jul 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed
  Opportunity
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
Raman Dutt
Linus Ericsson
Pedro Sanchez
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
22
50
0
14 May 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
66
13
0
29 Mar 2023
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
317
5,785
0
29 Apr 2021
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
280
3,848
0
18 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
332
11,684
0
09 Mar 2017
1