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Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone
  fine-tuning without episodic meta-learning dominates for few-shot learning
  image classification

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

15 June 2022
Adrian El Baz
Ihsan Ullah
Edesio Alcobaça
André C. P. L. F. de Carvalho
Hong Chen
Fabio Ferreira
H. Gouk
Chaoyu Guan
Isabelle M Guyon
Timothy M. Hospedales
S. Hu
Mike Huisman
Frank Hutter
Zhengying Liu
F. Mohr
Ekrem Öztürk
J. V. Rijn
Haozhe Sun
Xin Wang
Wenwu Zhu
ArXivPDFHTML

Papers citing "Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification"

7 / 7 papers shown
Title
FAIR Universe HiggsML Uncertainty Challenge Competition
FAIR Universe HiggsML Uncertainty Challenge Competition
W. Bhimji
P. Calafiura
Ragansu Chakkappai
Yuan-Tang Chou
S. Diefenbacher
...
D. Rousseau
Benjamin Sluijter
Benjamin Thorne
Ihsan Ullah
Yulei Zhang
22
1
0
03 Oct 2024
Academic competitions
Academic competitions
H. J. Escalante
Aleksandra Kruchinina
AI4CE
9
0
0
01 Dec 2023
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results
Dustin Carrión-Ojeda
Hong Chen
Adrian El Baz
Sergio Escalera
Chaoyu Guan
Isabelle M Guyon
I. Ullah
Xin Eric Wang
Wenwu Zhu
VLM
10
6
0
31 Aug 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
36
341
0
13 May 2022
The Role of Global Labels in Few-Shot Classification and How to Infer
  Them
The Role of Global Labels in Few-Shot Classification and How to Infer Them
Ruohan Wang
Massimiliano Pontil
C. Ciliberto
VLM
24
16
0
09 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
1