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Learning with Smooth Hinge Losses
v1v2 (latest)

Learning with Smooth Hinge Losses

Neurocomputing (Neurocomputing), 2021
27 February 2021
Junru Luo
Hong Qiao
Bo Zhang
ArXiv (abs)PDFHTML

Papers citing "Learning with Smooth Hinge Losses"

9 / 9 papers shown
Enhancing Cross Domain SAR Oil Spill Segmentation via Morphological Region Perturbation and Synthetic Label-to-SAR Generation
Enhancing Cross Domain SAR Oil Spill Segmentation via Morphological Region Perturbation and Synthetic Label-to-SAR Generation
Andre Juarez
Luis Salsavilca
Frida Coaquira
Celso Gonzales
287
0
0
02 Dec 2025
Online AUC Optimization Based on Second-order Surrogate Loss
Online AUC Optimization Based on Second-order Surrogate Loss
Junru Luo
Difei Cheng
Bo Zhang
154
0
0
24 Oct 2025
Harmonic Loss Trains Interpretable AI Models
Harmonic Loss Trains Interpretable AI Models
David D. Baek
Ziming Liu
Riya Tyagi
Max Tegmark
465
5
0
03 Feb 2025
Nonparametric estimation of Hawkes processes with RKHSs
Nonparametric estimation of Hawkes processes with RKHSsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Anna Bonnet
Maxime Sangnier
415
3
0
01 Nov 2024
Multi-resolution subsampling for large-scale linear classification
Multi-resolution subsampling for large-scale linear classification
Haolin Chen
Holger Dette
Jun Yu
316
1
0
08 Jul 2024
Coding for Intelligence from the Perspective of Category
Coding for Intelligence from the Perspective of Category
Wenhan Yang
Zixuan Hu
Lilang Lin
Jiaying Liu
Ling-Yu Duan
AI4CE
661
2
0
01 Jul 2024
Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion
Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion
David Geissbühler
Hatef Otroshi-Shahreza
S´ebastien Marcel
DiffM
400
17
0
30 Apr 2024
Xtreme Margin: A Tunable Loss Function for Binary Classification
  Problems
Xtreme Margin: A Tunable Loss Function for Binary Classification Problems
Rayan Wali
MQ
391
7
0
31 Oct 2022
Density-Aware Personalized Training for Risk Prediction in Imbalanced
  Medical Data
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical DataMachine Learning in Health Care (MLHC), 2022
Zepeng Huo
Xiaoning Qian
Shuai Huang
Zinan Lin
Bobak J. Mortazavi
OOD
297
5
0
23 Jul 2022
1
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