Few and Fewer: Learning Better from Few Examples Using Fewer Base
Classes

Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes

29 January 2024

Raphael Lafargue

Bastien Pasdeloup

Vincent Gripon

Papers citing "Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes"

5 / 5 papers shown

Title
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank Q. Garrido Randall Balestriero Laurent Najman Yann LeCun SSL 48 72 0 05 Oct 2022
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 212 330 0 22 Jul 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 630 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning Weifeng Ge Yizhou Yu 91 233 0 28 Feb 2017