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The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of
  Mislabeling

The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling

3 January 2020
Yaoshiang Ho
S. Wookey
ArXivPDFHTML

Papers citing "The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling"

14 / 14 papers shown
Title
Guided Masked Self-Distillation Modeling for Distributed Multimedia
  Sensor Event Analysis
Guided Masked Self-Distillation Modeling for Distributed Multimedia Sensor Event Analysis
Masahiro Yasuda
Noboru Harada
Yasunori Ohishi
Shoichiro Saito
Akira Nakayama
Nobutaka Ono
34
3
0
12 Apr 2024
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks
Rami Haffar
David Sánchez
J. Domingo-Ferrer
CVBM
27
0
0
20 Nov 2023
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic
  Indoor Environments
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments
G. S. Krishna
Kundrapu Supriya
S. Baidya
3DPC
24
2
0
10 Oct 2023
MWaste: A Deep Learning Approach to Manage Household Waste
MWaste: A Deep Learning Approach to Manage Household Waste
S. Kunwar
HAI
11
3
0
02 Apr 2023
A novel Deep Learning approach for one-step Conformal Prediction
  approximation
A novel Deep Learning approach for one-step Conformal Prediction approximation
Julia A. Meister
K. Nguyen
S. Kapetanakis
Zhiyuan Luo
16
5
0
25 Jul 2022
Masterful: A Training Platform for Computer Vision Models
Masterful: A Training Platform for Computer Vision Models
S. Wookey
Yaoshiang Ho
Thomas D. Rikert
Juan David Gil Lopez
Juan Manuel Munoz Beancur
...
Ray Tawil
Aaron Sabin
Jack Lynch
Travis Harper
Nikhil Gajendrakumar
VLM
18
1
0
21 May 2022
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for
  Automated Nerve Identification
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for Automated Nerve Identification
Baijun Xie
Gary Milam
B. Ning
J. Cha
C. Park
MedIm
25
7
0
27 Feb 2022
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
26
76
0
26 Nov 2021
Scenario generation for market risk models using generative neural
  networks
Scenario generation for market risk models using generative neural networks
Solveig Flaig
Gero Junike
GAN
24
10
0
21 Sep 2021
Background-Foreground Segmentation for Interior Sensing in Automotive
  Industry
Background-Foreground Segmentation for Interior Sensing in Automotive Industry
Claudia Drygala
Matthias Rottmann
Hanno Gottschalk
Klaus Friedrichs
Thomas Kurbiel
21
2
0
20 Sep 2021
SemSegLoss: A python package of loss functions for semantic segmentation
SemSegLoss: A python package of loss functions for semantic segmentation
Shruti Jadon
SSeg
VLM
19
9
0
18 May 2021
DR-Unet104 for Multimodal MRI brain tumor segmentation
DR-Unet104 for Multimodal MRI brain tumor segmentation
Jordan Colman
Lei Zhang
Wenting Duan
Xujiong Ye
8
20
0
04 Nov 2020
Metrics for Benchmarking and Uncertainty Quantification: Quality,
  Applicability, and a Path to Best Practices for Machine Learning in Chemistry
Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry
G. Vishwakarma
Aditya Sonpal
J. Hachmann
4
46
0
30 Sep 2020
A survey of loss functions for semantic segmentation
A survey of loss functions for semantic segmentation
Shruti Jadon
SSeg
16
823
0
26 Jun 2020
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