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Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Cross-Entropy Loss Functions: Theoretical Analysis and Applications

14 April 2023
Anqi Mao
M. Mohri
Yutao Zhong
    AAML
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Papers citing "Cross-Entropy Loss Functions: Theoretical Analysis and Applications"

32 / 32 papers shown
Title
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
J. Li
Yangtao Zhou
Zhifu Zhao
Qinglan Huang
Jian Qi
Xiao He
Hua Chu
Fu Li
DiffM
MedIm
55
0
0
12 May 2025
No Query, No Access
No Query, No Access
W. Wang
Siyuan Liang
Y. Zhang
X. Jia
Hao Lin
Xiaochun Cao
AAML
26
0
0
12 May 2025
Active Sampling for MRI-based Sequential Decision Making
Active Sampling for MRI-based Sequential Decision Making
Yuning Du
Jingshuai Liu
R. Dharmakumar
Sotirios A. Tsaftaris
49
0
0
07 May 2025
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
Hong Xin Xie
Jian De Sun
Fan Fu Xue
Zi Fei Han
S. Feng
Qi Chen
51
0
0
01 May 2025
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
Sandipan Dhar
N. D. Jana
Swagatam Das
43
0
0
27 Apr 2025
Applications of Entropy in Data Analysis and Machine Learning: A Review
Salomé A. Sepúveda Fontaine
José M. Amigó
47
2
0
04 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
Wang YuHang
Junkang Guo
Aolei Liu
Kaihao Wang
Zaitong Wu
Zhenyu Liu
Wenfei Yin
Jian Liu
AAML
50
0
0
02 Mar 2025
GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology
GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology
Raktim Kumar Mondol
Ewan K. A. Millar
Peter H. Graham
Lois Browne
Arcot Sowmya
Erik H. W. Meijering
46
0
0
08 Jan 2025
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery
Ashim Dahal
Saydul Akbar Murad
Nick Rahimi
ViT
34
1
0
14 Nov 2024
Developing a Dual-Stage Vision Transformer Model for Lung Disease Classification
Developing a Dual-Stage Vision Transformer Model for Lung Disease Classification
Anirudh Mazumder
Jianguo Liu
MedIm
ViT
21
0
0
26 Sep 2024
Compliant Blind Handover Control for Human-Robot Collaboration
Compliant Blind Handover Control for Human-Robot Collaboration
Davide Ferrari
Andrea Pupa
Cristian Secchi
32
0
0
11 Sep 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Yushi Huang
Ruihao Gong
Xianglong Liu
Jing Liu
Yuhang Li
Jiwen Lu
Dacheng Tao
DiffM
MQ
49
0
0
28 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
43
1
0
01 Jul 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization
  for Language Models
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
Chengzhengxu Li
Xiaoming Liu
Zhaohan Zhang
Yichen Wang
Chen Liu
Y. Lan
Chao Shen
54
2
0
15 Jun 2024
Contour-weighted loss for class-imbalanced image segmentation
Contour-weighted loss for class-imbalanced image segmentation
Zhhengyong Huang
Yao Sui
42
3
0
07 Jun 2024
Generalizing Machine Learning Evaluation through the Integration of
  Shannon Entropy and Rough Set Theory
Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory
Olga Cherednichenko
Dmytro Chernyshov
Dmytro Sytnikov
Polina Sytnikova
39
0
0
18 Apr 2024
Top-$k$ Classification and Cardinality-Aware Prediction
Top-kkk Classification and Cardinality-Aware Prediction
Anqi Mao
M. Mohri
Yutao Zhong
28
7
0
28 Mar 2024
$H$-Consistency Guarantees for Regression
HHH-Consistency Guarantees for Regression
Anqi Mao
M. Mohri
Yutao Zhong
33
9
0
28 Mar 2024
Distribution-aware Interactive Attention Network and Large-scale Cloud
  Recognition Benchmark on FY-4A Satellite Image
Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image
Jiaqing Zhang
Jie Lei
Weiying Xie
Kai Jiang
Mingxiang Cao
Yunsong Li
25
3
0
06 Jan 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based
  Multi-Class Abstention
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
Anqi Mao
M. Mohri
Yutao Zhong
24
22
0
23 Oct 2023
PrivImage: Differentially Private Synthetic Image Generation using
  Diffusion Models with Semantic-Aware Pretraining
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining
Kecen Li
Chen Gong
Zhixiang Li
Yuzhong Zhao
Xinwen Hou
Tianhao Wang
33
10
0
19 Oct 2023
Revisiting Discriminative vs. Generative Classifiers: Theory and
  Implications
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
Chenyu Zheng
Guoqiang Wu
Fan Bao
Yue Cao
Chongxuan Li
Jun Zhu
BDL
25
30
0
05 Feb 2023
Towards Consistency in Adversarial Classification
Towards Consistency in Adversarial Classification
Laurent Meunier
Raphael Ettedgui
Rafael Pinot
Y. Chevaleyre
Jamal Atif
AAML
55
9
0
20 May 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
194
345
0
15 Dec 2021
Adversarial Robustness with Semi-Infinite Constrained Learning
Adversarial Robustness with Semi-Infinite Constrained Learning
Alexander Robey
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
Alejandro Ribeiro
AAML
OOD
118
42
0
29 Oct 2021
A Finer Calibration Analysis for Adversarial Robustness
A Finer Calibration Analysis for Adversarial Robustness
Pranjal Awasthi
Anqi Mao
M. Mohri
Yutao Zhong
AAML
49
30
0
04 May 2021
Adversarial Vertex Mixup: Toward Better Adversarially Robust
  Generalization
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Saehyung Lee
Hyungyu Lee
Sungroh Yoon
AAML
161
113
0
05 Mar 2020
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
62
230
0
25 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Multiclass Classification Calibration Functions
Multiclass Classification Calibration Functions
Bernardo Avila-Pires
Csaba Szepesvári
72
27
0
20 Sep 2016
On the Consistency of AUC Pairwise Optimization
On the Consistency of AUC Pairwise Optimization
Wei Gao
Zhi-Hua Zhou
66
123
0
03 Aug 2012
New Analysis and Algorithm for Learning with Drifting Distributions
New Analysis and Algorithm for Learning with Drifting Distributions
M. Mohri
Andrés Munoz Medina
94
123
0
19 May 2012
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