How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation

13 May 2022

Papers citing "How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation"

7 / 7 papers shown

Title
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization Avraham Chapman Haiming Xu Lingqiao Liu 31 0 0 03 Sep 2024
Token-Efficient Leverage Learning in Large Language Models Yuanhao Zeng Min Wang Yihang Wang Yingxia Shao 29 0 0 01 Apr 2024
MarkupLens: An AI-Powered Tool to Support Designers in Video-Based Analysis at Scale Tianhao He Ying Zhang E. Niforatos Gerd Kortuem 20 0 0 08 Mar 2024
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation Yunwei Bai Ying Kiat Tan Tsuhan Chen 35 0 0 28 Feb 2024
A Billion-scale Foundation Model for Remote Sensing Images Keumgang Cha Junghoon Seo Taekyung Lee 30 63 0 11 Apr 2023
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 208 322 0 16 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017