Vincent Dumoulin
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Proper Reuse of Image Classification Features Improves Object Detection
Vighnesh Nandan Birodkar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR (2022), pp. 13628-13637
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Mike Mozer
Proceedings of the 39th International Conference on Machine Learning, PMLR (2022)
A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches
Neil Houlsby
Xiaohua Zhai
Sylvain Gelly
NeurIPS Datasets and Benchmarks Track (2021)
Impact of Aliasing on Generalization in Deep Convolutional Networks
Nicolas Le Roux
Rob Romijnders
International Conference on Computer Vision ICCV 2021, IEEE/CVF (2021)
Domain Conditional Predictors for Domain Adaptation
Dar-Shyang Lee
Jianqiao Feng
Joao Monteiro
Xavier Gibert
Proceedings of Machine Learning Research (PMLR), 148 (2021), pp. 193-220
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard
Jakob N. Foerster
Sarath Chandar
Neil Burch
Marc Lanctot
H. Francis Song
Emilio Parisotto
Subhodeep Moitra
Edward Hughes
Iain Dunning
Shibl Mourad
Marc G. Bellemare
Michael Bowling
Artificial Intelligence, 280 (2020)
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Zhu
Kelvin Xu
Carles Gelada
International Conference on Learning Representations (submission) (2020)
Feature-wise transformations
Ethan Perez
Nathan Schucher
Florian Strub
Harm de Vries
Aaron Courville
Yoshua Bengio
Distill (2018)
