EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients

24 January 2022

Raphael Lafargue

Vincent Gripon

Papers citing "EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients"

20 / 20 papers shown

Title
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Qi Xu J. Zhu D. Zhou Hao Chen Y. Liu Jiangrong Shen Qiang Zhang 24 0 0 12 May 2025
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning Raphael Lafargue Luke Smith Franck Vermet Mathias Löwe Ian Reid Vincent Gripon Jack Valmadre 31 0 0 04 Sep 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 17 0 0 29 Jan 2024
Few-shot Image Classification based on Gradual Machine Learning Nanway Chen Xianming Kuang Feiyu Liu K. Wang Qun Chen CLL VLM 14 1 0 28 Jul 2023
Polarity is all you need to learn and transfer faster Qingyang Wang Michael A. Powell Ali Geisa Eric W. Bridgeford Joshua T. Vogelstein 24 3 0 29 Mar 2023
A Statistical Model for Predicting Generalization in Few-Shot Classification Yassir Bendou Vincent Gripon Bastien Pasdeloup Lukas Mauch Stefan Uhlich Fabien Cardinaux G. B. Hacene Javier Alonso García 13 2 0 13 Dec 2022
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 22 42 0 28 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 36 2 0 26 Nov 2022
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings Aymane Abdali Vincent Gripon Lucas Drumetz Bartosz Bogusławski 19 1 0 23 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 16 15 0 18 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying Chen J. Hsieh Ming-Ching Chang 10 0 0 03 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 22 17 0 22 Aug 2022
Few-shot Open-set Recognition Using Background as Unknowns Nan Song Chi Zhang Guosheng Lin VLM SSL 13 10 0 19 Jul 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting Kazufumi Hosoda Keigo Nishida S. Seno Tomohiro Mashita H. Kashioka I. Ohzawa 17 2 0 28 Apr 2022
Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse Occlusions Kunyu Peng Alina Roitberg Kailun Yang Jiaming Zhang Rainer Stiefelhagen ViT 19 28 0 23 Feb 2022
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 34 86 0 16 Jul 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 208 322 0 16 Jan 2021
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 35 61 0 14 Dec 2020
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 260 11,677 0 09 Mar 2017