Analysis and Optimization of Loss Functions for Multiclass, Top-k, and
Multilabel Classification

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification

12 December 2016

Matthias Hein

Bernt Schiele

Papers citing "Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification"

6 / 6 papers shown

Title
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty J. Bertels D. Robben Dirk Vandermeulen P. Suetens 22 19 0 08 Nov 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 21 32 0 18 Jul 2022
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 10 681 0 14 Jul 2020
General Framework for Binary Classification on Top Samples Lukáš Adam V. Mácha Václav Smídl Tomás Pevný 14 5 0 25 Feb 2020
Multiclass Classification Calibration Functions Bernardo Avila-Pires Csaba Szepesvári 46 27 0 20 Sep 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 181 2,943 0 15 Dec 2014