ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.09699
  4. Cited By
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art
  Few-Shot Classification with Simple Ingredients
v1v2 (latest)

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

24 January 2022
Yassir Bendou
Yuqing Hu
Raphael Lafargue
G. Lioi
Bastien Pasdeloup
S. Pateux
Vincent Gripon
    VLM
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)

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

15 / 15 papers shown
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
Qi Xu
J. Zhu
D. Zhou
Hao Chen
Wenshu Fan
Jiangrong Shen
Qiang Zhang
399
0
0
12 May 2025
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in
  Few-Shot Learning
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
245
0
0
04 Sep 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
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
325
0
0
29 Jan 2024
Few-shot Image Classification based on Gradual Machine Learning
Few-shot Image Classification based on Gradual Machine Learning
Nanway Chen
Xianming Kuang
Feiyu Liu
K. Wang
Qun Chen
CLLVLM
281
5
0
28 Jul 2023
Polarity is all you need to learn and transfer faster
Polarity is all you need to learn and transfer fasterInternational Conference on Machine Learning (ICML), 2023
Qingyang Wang
Michael A. Powell
Ali Geisa
Eric W. Bridgeford
Joshua T. Vogelstein
313
3
0
29 Mar 2023
A Statistical Model for Predicting Generalization in Few-Shot
  Classification
A Statistical Model for Predicting Generalization in Few-Shot ClassificationEuropean Signal Processing Conference (EUSIPCO), 2022
Yassir Bendou
Vincent Gripon
Bastien Pasdeloup
Lukas Mauch
Stefan Uhlich
Fabien Cardinaux
G. B. Hacene
Javier Alonso García
278
2
0
13 Dec 2022
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for
  Few-shot Image Classification
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image ClassificationIEEE transactions on multimedia (IEEE TMM), 2022
Fang Peng
Xiaoshan Yang
Linhui Xiao
Yaowei Wang
Changsheng Xu
VLM
261
82
0
28 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess
G. Ditzler
457
2
0
26 Nov 2022
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning
  Settings
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings
Aymane Abdali
Vincent Gripon
Lucas Drumetz
Bartosz Bogusławski
252
2
0
23 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive
  Few-Shot Classification
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yuqing Hu
S. Pateux
Vincent Gripon
317
23
0
18 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning
Ying-Cong Chen
J. Hsieh
Ming-Ching Chang
422
0
0
03 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDLVLM
366
18
0
22 Aug 2022
Few-shot Open-set Recognition Using Background as Unknowns
Few-shot Open-set Recognition Using Background as UnknownsACM Multimedia (ACM MM), 2022
Nan Song
Chi Zhang
Guosheng Lin
VLMSSL
240
18
0
19 Jul 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting
It's DONE: Direct ONE-shot learning with quantile weight imprinting
Kazufumi Hosoda
Keigo Nishida
S. Seno
Tomohiro Mashita
H. Kashioka
I. Ohzawa
228
2
0
28 Apr 2022
Delving Deep into One-Shot Skeleton-based Action Recognition with
  Diverse Occlusions
Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse OcclusionsIEEE transactions on multimedia (IEEE TMM), 2022
Kunyu Peng
Alina Roitberg
Kailun Yang
Kailai Li
Rainer Stiefelhagen
ViT
433
43
0
23 Feb 2022
1
Page 1 of 1