2 papers
cs.LG2019
SoDeep: a Sorting Deep net to learn ranking loss surrogates
Martin Engilberge, Louis Chevallier, Patrick Pérez +1
Several tasks in machine learning are evaluated using non-differentiable metrics such as mean average precision or Spearman correlation. However, their non-differentiability preven…
cs.CV2018
Finding beans in burgers: Deep semantic-visual embedding with localization
Martin Engilberge, Louis Chevallier, Patrick Pérez +1
Several works have proposed to learn a two-path neural network that maps images and texts, respectively, to a same shared Euclidean space where geometry captures useful semantic re…