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Stochastic smoothing of the top-K calibrated hinge loss for deep
  imbalanced classification
v1v2 (latest)

Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification

4 February 2022
Camille Garcin
Maximilien Servajean
Alexis Joly
Joseph Salmon
ArXiv (abs)PDFHTML

Papers citing "Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification"

3 / 3 papers shown
Title
LapSum -- One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
Łukasz Struski
Michał B. Bednarczyk
Igor T. Podolak
Jacek Tabor
BDL
88
0
0
08 Mar 2025
Rank-based Decomposable Losses in Machine Learning: A Survey
Rank-based Decomposable Losses in Machine Learning: A Survey
Shu Hu
Xin Wang
Siwei Lyu
88
32
0
18 Jul 2022
Efficient Augmentation for Imbalanced Deep Learning
Efficient Augmentation for Imbalanced Deep Learning
Damien Dablain
C. Bellinger
Bartosz Krawczyk
Nitesh Chawla
57
7
0
13 Jul 2022
1