IEEE TNNLS

Deep Learning is Singular, and That's Good

Daniel Murfet, Susan Wei, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella

Journal ref IEEE Transactions on Neural Networks and Learning Systems 34, issue 12, pages 10473-10486, December 2023 (published online on 30 June 2022)

Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach

Jiaping Xiao, Phumrapee Pisutsin, Mir Feroskhan

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification

Shuhan LI, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng

Comments Accepted by TNNLS 2023

ProtoCLIP: Prototypical Contrastive Language Image Pretraining

Delong Chen, Zhao Wu, Fan Liu, Zaiquan Yang, Huaxi Huang, Ying Tan, Erjin Zhou

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection

Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang

Comments 17 pages, double columns, 10 tables, 3 figures. Accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

NN2Poly: A polynomial representation for deep feed-forward artificial neural networks

Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo, Iñaki Ucar

Journal ref IEEE Transactions on Neural Networks and Learning Systems (2023, Early Access)

Lite it fly: An All-Deformable-Butterfly Network

Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Binxiao Huang, Jie Ran, Ngai Wong

Comments 7 pages, 3 figures, accepted as a brief paper in IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Improving Pre-trained Language Model Fine-tuning with Noise Stability Regularization

Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo

Comments Accepted by TNNLS

Combining Optimal Path Search With Task-Dependent Learning in a Neural Network

Tomas Kulvicius, Minija Tamosiunaite, Florentin Wörgötter

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2023

Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation

Siyu Wang, Xiaocong Chen, Lina Yao, Sally Cripps, Julian McAuley

Comments Accepted by IEEE TNNLS

Road Network Guided Fine-Grained Urban Traffic Flow Inference

Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu, Junfan Lin, Liang Lin

Comments This work has been accepted to TNNLS

Deep Reinforcement Learning with Explicit Context Representation

Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji

Comments Manuscript accepted for publication as regular paper in IEEE Transactions on Neural Networks and Learning Systems

Enhancing Unsupervised Anomaly Detection with Score-Guided Network

Zongyuan Huang, Baohua Zhang, Guoqiang Hu, Longyuan Li, Yanyan Xu, Yaohui Jin

Comments Final version in TNNLS

Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark

Cong Zhang, Hongbo Bi, Tian-Zhu Xiang, Ranwan Wu, Jinghui Tong, Xiufang Wang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering

Wei Lv, Chao Zhang, Huaxiong Li, Xiuyi Jia, Chunlin Chen

Comments IEEE Transactions on Neural Networks and Learning Systems, 2023

ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness

Jingcan Duan, Bin Xiao, Siwei Wang, Haifang Zhou, Xinwang Liu

Comments 13 pages, 8 figures, accepted by IEEE TNNLS

Physics-informed neural networks for solving forward and inverse problems in complex beam systems

Taniya Kapoor, Hongrui Wang, Alfredo Nunez, Rolf Dollevoet

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2023

Efficacy of Neural Prediction-Based Zero-Shot NAS

Minh Le, Nhan Nguyen, Ngoc Hoang Luong

Comments 12 pages, 6 figures, submitted to IEEE-TNNLS

On the Compressive Power of Boolean Threshold Autoencoders

Avraham A. Melkman, Sini Guo, Wai-Ki Ching, Pengyu Liu, Tatsuya Akutsu

Comments 13 pages, 3 figures, 1 table

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2021

Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization

Mustafa E. Aydın, Arda Fazla, Suleyman S. Kozat

Comments Submitted to the IEEE TNNLS journal

An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination

Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi

Comments IEEE Transactions on Neural Networks and Learning Systems, 2023

Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification

Xiao Shen, Mengqiu Shao, Shirui Pan, Laurence T. Yang, Xi Zhou

Comments IEEE Transactions on Neural Networks and Learning Systems, 2023

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering

Si-Yu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2024)

Probabilistic Safety Regions Via Finite Families of Scalable Classifiers

Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli

Comments 13 pages, 4 figures, 1 table, submitted to IEEE TNNLS

Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes

Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu

Comments Accepted by IEEE TNNLS on 30-Aug-2023. arXiv admin note: text overlap with arXiv:2210.00728

Deep Learning for Visual Localization and Mapping: A Survey

Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems. This is an updated version of arXiv:2006.12567

A Multilayer Framework for Online Metric Learning

Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo

Comments Accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2022

Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints

Hanchi Huang, Li Shen, Deheng Ye, Wei Liu

Comments IEEE Transactions on Neural Networks and Learning Systems

Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis

Ce Ju, Cuntai Guan

Comments 15 pages, 5 figures, 6 Tables; This work has been accepted by the IEEE Transactions on Neural Networks and Learning Systems, 2023. Copyright will be transferred without notice, after which this version may no longer be accessible

DOST -- Domain Obedient Self-supervised Training for Multi Label Classification with Noisy Labels

Soumadeep Saha, Utpal Garain, Arijit Ukil, Arpan Pal, Sundeep Khandelwal

Comments Submitted to IEEE TNNLS on March 7th 2023. 8 pages, 4 figures