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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
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
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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
W. Bhimji
P. Calafiura
Ragansu Chakkappai
Yuan-Tang Chou
S. Diefenbacher
...
D. Rousseau
Benjamin Sluijter
Benjamin Thorne
Ihsan Ullah
Yulei Zhang
24
1
0
03 Oct 2024
Academic competitions
H. J. Escalante
Aleksandra Kruchinina
AI4CE
9
0
0
01 Dec 2023
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
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
Ruohan Wang
Massimiliano Pontil
C. Ciliberto
VLM
24
17
0
09 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
286
5,723
0
29 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
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