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IEEE transactions on neural networks and learning systems最新文献

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Metric Learning-Based Subspace Clustering
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-24 DOI: 10.1109/tnnls.2025.3528470
Yesong Xu, Shuo Chen, Jun Li, Jian Yang
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引用次数: 0
Compressing Transfer: Mutual Learning-Empowered Knowledge Distillation for Temporal Knowledge Graph Reasoning
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-24 DOI: 10.1109/tnnls.2025.3525699
Ye Qian, Xiaoyan Wang, Fuhui Sun, Li Pan
{"title":"Compressing Transfer: Mutual Learning-Empowered Knowledge Distillation for Temporal Knowledge Graph Reasoning","authors":"Ye Qian, Xiaoyan Wang, Fuhui Sun, Li Pan","doi":"10.1109/tnnls.2025.3525699","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3525699","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"2 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive Robust Stochastic Configuration Networks for Near-Infrared Multivariate Analysis
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-24 DOI: 10.1109/tnnls.2024.3512492
Yuqiang Li, Wenli Du, Xinjie Wang, Minglei Yang, Yunmeng Zhao
{"title":"Adaptive Robust Stochastic Configuration Networks for Near-Infrared Multivariate Analysis","authors":"Yuqiang Li, Wenli Du, Xinjie Wang, Minglei Yang, Yunmeng Zhao","doi":"10.1109/tnnls.2024.3512492","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3512492","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"58 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
LiNGAM-SF: Causal Structural Learning Method With Linear Non-Gaussian Acyclic Models for Streaming Features
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-23 DOI: 10.1109/tnnls.2025.3529753
Chenglin Zhang, Hong Yu, Guoyin Wang, Yongfang Xie
{"title":"LiNGAM-SF: Causal Structural Learning Method With Linear Non-Gaussian Acyclic Models for Streaming Features","authors":"Chenglin Zhang, Hong Yu, Guoyin Wang, Yongfang Xie","doi":"10.1109/tnnls.2025.3529753","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3529753","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"33 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Do Highly Over-Parameterized Neural Networks Generalize Since Bad Solutions Are Rare?
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-23 DOI: 10.1109/tnnls.2025.3529297
Julius Martinetz, Thomas Martinetz
{"title":"Do Highly Over-Parameterized Neural Networks Generalize Since Bad Solutions Are Rare?","authors":"Julius Martinetz, Thomas Martinetz","doi":"10.1109/tnnls.2025.3529297","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3529297","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"12 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive Locality Guidance: Using Locality Guidance to Initialize the Learning of Vision Transformers on Tiny Datasets
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-23 DOI: 10.1109/tnnls.2024.3515076
Jules Rostand, Chen-Chien James Hsu, Cheng-Kai Lu
{"title":"Adaptive Locality Guidance: Using Locality Guidance to Initialize the Learning of Vision Transformers on Tiny Datasets","authors":"Jules Rostand, Chen-Chien James Hsu, Cheng-Kai Lu","doi":"10.1109/tnnls.2024.3515076","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3515076","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"15 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Latent Code Augmentation Based on Stable Diffusion for Data-Free Substitute Attacks 基于稳定扩散的无数据替代攻击的潜码增强
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-22 DOI: 10.1109/tnnls.2025.3526338
Mingwen Shao, Lingzhuang Meng, Yuanjian Qiao, Lixu Zhang, Wangmeng Zuo
{"title":"Latent Code Augmentation Based on Stable Diffusion for Data-Free Substitute Attacks","authors":"Mingwen Shao, Lingzhuang Meng, Yuanjian Qiao, Lixu Zhang, Wangmeng Zuo","doi":"10.1109/tnnls.2025.3526338","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3526338","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"8 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143020704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generalization Bounds of Deep Neural Networks With $tau$-Mixing Samples $tau$混合样本下深度神经网络的泛化界
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-22 DOI: 10.1109/tnnls.2025.3526235
Liyuan Liu, Yaohui Chen, Weifu Li, Yingjie Wang, Bin Gu, Feng Zheng, Hong Chen
{"title":"Generalization Bounds of Deep Neural Networks With $tau$-Mixing Samples","authors":"Liyuan Liu, Yaohui Chen, Weifu Li, Yingjie Wang, Bin Gu, Feng Zheng, Hong Chen","doi":"10.1109/tnnls.2025.3526235","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3526235","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"32 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143020705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FairXAI -A Taxonomy and Framework for Fairness and Explainability Synergy in Machine Learning FairXAI——机器学习中公平性和可解释性协同的分类和框架
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-22 DOI: 10.1109/tnnls.2025.3528321
Resmi Ramachandranpillai, Ricardo Baeza-Yates, Fredrik Heintz
{"title":"FairXAI -A Taxonomy and Framework for Fairness and Explainability Synergy in Machine Learning","authors":"Resmi Ramachandranpillai, Ricardo Baeza-Yates, Fredrik Heintz","doi":"10.1109/tnnls.2025.3528321","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3528321","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"12 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143020707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance DenseKD：利用区域和样本重要性的密集知识蒸馏
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-01-22 DOI: 10.1109/tnnls.2025.3525737
Haonan Zhang, Longjun Liu, Yi Zhang, Xinyu Lei, Fei Hui, Bihan Wen
{"title":"DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance","authors":"Haonan Zhang, Longjun Liu, Yi Zhang, Xinyu Lei, Fei Hui, Bihan Wen","doi":"10.1109/tnnls.2025.3525737","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3525737","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"49 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143020708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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