385 citations · 1.1k across the 45 of their papers we have counts for
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cs.LG2019★ 7 cited
Wasserstein Adversarial Regularization (WAR) on label noise
Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry +3
Noisy labels often occur in vision datasets, especially when they are obtained from crowdsourcing or Web scraping. We propose a new regularization method, which enables learning ro…
cs.LG2019★ 2 cited
End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping
Marc Rußwurm, Nicolas Courty, Rémi Emonet +3
Remote sensing satellites capture the cyclic dynamics of our Planet in regular time intervals recorded in satellite time series data. End-to-end trained deep learning models use th…