A Statistical Model for Predicting Generalization in Few-Shot
Classification

A Statistical Model for Predicting Generalization in Few-Shot Classification

13 December 2022

Vincent Gripon

Bastien Pasdeloup

Fabien Cardinaux

Javier Alonso García

Papers citing "A Statistical Model for Predicting Generalization in Few-Shot Classification"

7 / 7 papers shown

Title
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
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 30 13 0 06 Oct 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 37 43 0 29 Sep 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 42 87 0 16 Jul 2021
Task Augmentation by Rotating for Meta-Learning Jialin Liu Fei Chao Chih-Min Lin 59 33 0 08 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016