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

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

4 February 2022
Camille Garcin
Maximilien Servajean
Alexis Joly
Joseph Salmon
ArXivPDFHTML

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

4 / 4 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
62
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
38
32
0
18 Jul 2022
Efficient Augmentation for Imbalanced Deep Learning
Efficient Augmentation for Imbalanced Deep Learning
Damien Dablain
C. Bellinger
Bartosz Krawczyk
Nitesh V. Chawla
32
7
0
13 Jul 2022
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
253
782
0
05 Dec 2019
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