Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.
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%0 Conference Paper
%1 conf/nips/BazUACCFGGGHHHH21
%A Baz, Adrian El
%A Ullah, Ihsan
%A Alcobaça, Edesio
%A de Carvalho, André C. P. L. F.
%A Chen, Hong
%A Ferreira, Fabio
%A Gouk, Henry
%A Guan, Chaoyu
%A Guyon, Isabelle
%A Hospedales, Timothy M.
%A Hu, Shell
%A Huisman, Mike
%A Hutter, Frank
%A Liu, Zhengying
%A Mohr, Felix
%A Öztürk, Ekrem
%A van Rijn, Jan N.
%A Sun, Haozhe
%A Wang, Xin
%A Zhu, Wenwu
%B NeurIPS (Competition and Demos)
%D 2021
%E Kiela, Douwe
%E Ciccone, Marco
%E Caputo, Barbara
%I PMLR
%K dblp
%P 80-96
%T Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.
%U http://dblp.uni-trier.de/db/conf/nips/demo2021x.html#BazUACCFGGGHHHH21
%V 176
@inproceedings{conf/nips/BazUACCFGGGHHHH21,
added-at = {2024-10-06T00:00:00.000+0200},
author = {Baz, Adrian El and Ullah, Ihsan and Alcobaça, Edesio and de Carvalho, André C. P. L. F. and Chen, Hong and Ferreira, Fabio and Gouk, Henry and Guan, Chaoyu and Guyon, Isabelle and Hospedales, Timothy M. and Hu, Shell and Huisman, Mike and Hutter, Frank and Liu, Zhengying and Mohr, Felix and Öztürk, Ekrem and van Rijn, Jan N. and Sun, Haozhe and Wang, Xin and Zhu, Wenwu},
biburl = {https://www.bibsonomy.org/bibtex/25f2fde515227c92a5ee34f956e3c08ff/dblp},
booktitle = {NeurIPS (Competition and Demos)},
crossref = {conf/nips/2021demo},
editor = {Kiela, Douwe and Ciccone, Marco and Caputo, Barbara},
ee = {https://proceedings.mlr.press/v176/el-baz22a.html},
interhash = {c0f2208c523d77714b139d9c6681eeb3},
intrahash = {5f2fde515227c92a5ee34f956e3c08ff},
keywords = {dblp},
pages = {80-96},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
timestamp = {2024-10-07T09:56:32.000+0200},
title = {Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.},
url = {http://dblp.uni-trier.de/db/conf/nips/demo2021x.html#BazUACCFGGGHHHH21},
volume = 176,
year = 2021
}