Cross-Entropy Loss Functions: Theoretical Analysis and Applications

14 April 2023

Papers citing "Cross-Entropy Loss Functions: Theoretical Analysis and Applications"

33 / 33 papers shown

Title
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation Jiacheng 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 Luu Anh Tuan Siyuan Liang Yuyao Zhang Xiaojun Jia Hao Lin Xiaochun Cao AAML 26 0 0 12 May 2025
Active Sampling for MRI-based Sequential Decision Making Yuning Du Jingshuai Liu R. Dharmakumar Sotirios A. Tsaftaris 52 0 0 07 May 2025
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 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 49 2 0 04 Mar 2025
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 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 Ashim Dahal Saydul Akbar Murad Nick Rahimi ViT 39 1 0 14 Nov 2024
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 Davide Ferrari Andrea Pupa Cristian Secchi 32 0 0 11 Sep 2024
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 Wenhan Yang Zixuan Hu Lilang Lin Jiaying Liu Ling-Yu Duan AI4CE 45 1 0 01 Jul 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models Chengzhengxu Li Xiaoming Liu Zhaohan Zhang Yichen Wang Chen Liu Y. Lan Chao Shen 57 2 0 15 Jun 2024
Contour-weighted loss for class-imbalanced image segmentation Zhhengyong Huang Yao Sui 42 3 0 07 Jun 2024
GluMarker: A Novel Predictive Modeling of Glycemic Control Through Digital Biomarkers Ziyi Zhou Ming Cheng Xingjian Diao Yanjun Cui Xiangling Li 23 2 0 19 Apr 2024
Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory Olga Cherednichenko Dmytro Chernyshov Dmytro Sytnikov Polina Sytnikova 44 0 0 18 Apr 2024
Top- $k$ Classification and Cardinality-Aware Prediction Anqi Mao M. Mohri Yutao Zhong 33 7 0 28 Mar 2024
$H$ -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 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 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 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 Chenyu Zheng Guoqiang Wu Fan Bao Yue Cao Chongxuan Li Jun Zhu BDL 30 30 0 05 Feb 2023
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 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 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 Pranjal Awasthi Anqi Mao M. Mohri Yutao Zhong AAML 49 30 0 04 May 2021
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 Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 65 230 0 25 May 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,110 0 04 Nov 2016
Multiclass Classification Calibration Functions Bernardo Avila-Pires Csaba Szepesvári 75 27 0 20 Sep 2016
On the Consistency of AUC Pairwise Optimization Wei Gao Zhi-Hua Zhou 69 123 0 03 Aug 2012
New Analysis and Algorithm for Learning with Drifting Distributions M. Mohri Andrés Munoz Medina 97 123 0 19 May 2012