Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning

8 February 2021

Papers citing "Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning"

21 / 21 papers shown

Title
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 60 0 0 12 Mar 2025
Differentiable Prompt Learning for Vision Language Models Zhenhan Huang Tejaswini Pedapati Pin-Yu Chen Jianxi Gao VLM 28 0 0 03 Jan 2025
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model Haoye Chai Shiyuan Zhang Xiaoqian Qi Yong Li 32 0 0 20 Oct 2024
Large Language Models for Cyber Security: A Systematic Literature Review HanXiang Xu Shenao Wang Ningke Li K. Wang Yanjie Zhao Kai Chen Ting Yu Yang Janet Liu H. Wang 34 23 0 08 May 2024
Transfer Learning Study of Motion Transformer-based Trajectory Predictions Lars Ullrich Alex McMaster Knut Graichen 38 3 0 12 Apr 2024
Large Convolutional Model Tuning via Filter Subspace Wei Chen Zichen Miao Qiang Qiu 51 3 0 01 Mar 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 35 1 0 13 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 43 1 0 07 Feb 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes Raphael Lafargue Yassir Bendou Bastien Pasdeloup J. Diguet Ian Reid Vincent Gripon Jack Valmadre 23 0 0 29 Jan 2024
Large Language Models for Conducting Advanced Text Analytics Information Systems Research Benjamin Ampel Chi-Heng Yang J. Hu Hsinchun Chen 33 7 0 27 Dec 2023
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification Kaipeng Zheng Weiran Huang Lichao Sun LM&MA MedIm VLM 25 0 0 12 Dec 2023
A Recent Survey of Heterogeneous Transfer Learning Runxue Bao Yiming Sun Yuhe Gao Jindong Wang Qiang Yang Zhi-Hong Mao Ye Ye 22 4 0 12 Oct 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 29 15 0 06 Jun 2023
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification Fang Peng Xiaoshan Yang Linhui Xiao Yaowei Wang Changsheng Xu VLM 27 43 0 28 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... J. Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 36 6 0 02 Nov 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 51 197 0 20 Oct 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 343 0 13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 29 6 0 13 May 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 30 32 0 25 Mar 2022
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 19 45 0 03 Dec 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017