IEEE TNNLS

Exponential Signal Reconstruction with Deep Hankel Matrix Factorization

Yihui Huang, Jinkui Zhao, Zi Wang, Vladislav Orekhov, Di Guo, Xiaobo Qu

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems in 2021

Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering

JianJian Cao, Xiameng Qin, Sanyuan Zhao, Jianbing Shen

Comments pre-print, TNNLS, 12 pages

On the Dynamics of Hopfield Neural Networks on Unit Quaternions

Marcos Eduardo Valle, Fidelis Zanetti de Castro

Journal ref IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 29, NO. 6, JUNE 2018

MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection

Fabio Valerio Massoli, Fabrizio Falchi, Alperen Kantarci, Şeymanur Akti, Hazim Kemal Ekenel, Giuseppe Amato

Comments The paper has been accepted for publication in the IEEE Transactions on Neural Networks and Learning Systems, Special Issue on Deep Learning for Anomaly Detection

Journal ref IEEE TNNLS (2021)

Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement

Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo

Comments Accepted by IEEE TNNLS. Code is available at https://github.com/KarelZhang/CSDNet-CSDGAN

Rethinking 3D LiDAR Point Cloud Segmentation

Shijie Li, Yun Liu, Juergen Gall

Comments TNNLS 2021

diffGrad: An Optimization Method for Convolutional Neural Networks

Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis Mukherjee, Satish Kumar Singh, Bidyut Baran Chaudhuri

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2020

Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method

Ye Xue, Vincent Lau

Comments This paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems as a regular paper

Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction

Yuxin Meng, Eric Rigall, Xueen Chen, Feng Gao, Junyu Dong, Sheng Chen

Comments This work has been accepted by IEEE TNNLS for publication. Our codes and datasets are available at https://github.com/mengyuxin520/PGGAN

Deep Reinforcement Learning for Cyber Security

Thanh Thi Nguyen, Vijay Janapa Reddi

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2021 (Early Access)

Denoised Non-Local Neural Network for Semantic Segmentation

Qi Song, Jie Li, Hao Guo, Rui Huang

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

Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection

Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, Andre Gregio, Daniela Oliveira, Xiaolin Li

Comments 12 pages, 4 figures. This paper has been accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Attention in Natural Language Processing

Andrea Galassi, Marco Lippi, Paolo Torroni

Comments 18 pages, 8 figures

Journal ref IEEE Transactions on Neural Networks and Learning Systems, vol 32, n 10, pp 4291-4308, 2021

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples

David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Ludermir

Comments Accepted for publication in the IEEE Transactions on Neural Networks and Learning Systems: Special Issue on Deep Learning for Anomaly Detection

Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations

Isaac J. Sledge, Jose C. Principe

Comments Submitted to the IEEE Transactions on Neural Networks and Learning Systems

Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs

Dingheng Wang, Bijiao Wu, Guangshe Zhao, Man Yao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li

Comments Accepted by TNNLS

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

Astha Garg, Wenyu Zhang, Jules Samaran, Savitha Ramasamy, Chuan-Sheng Foo

Comments IEEE Transactions on Neural Networks and Learning Systems

Training Provably Robust Models by Polyhedral Envelope Regularization

Chen Liu, Mathieu Salzmann, Sabine Süsstrunk

Journal ref IEEE Transactions on Neural Networks and Learning Systems 2021

Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network

Yuan Yao, Xutao Li, Yu Zhang, Yunming Ye

Comments Accepted by TNNLS 2021

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction

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

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

Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies

Mert Al, Semih Yagli, Sun-Yuan Kung

Comments 15 pages, 5 figures, published on IEEE Transactions on Neural Networks and Learning Systems

Revisiting Recursive Least Squares for Training Deep Neural Networks

Chunyuan Zhang, Qi Song, Hui Zhou, Yigui Ou, Hongyao Deng, Laurence Tianruo Yang

Comments 12 pages,5 figures, IEEE Transactions on Neural Networks and Learning Systems under review

Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection

Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu

Comments 12pages,4 figures, published by IEEE Transactions on Neural Networks and Learning Systems,2021

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

Orthogonal Inductive Matrix Completion

Antoine Ledent, Rodrigo Alves, Marius Kloft

Comments To appear in Transactions of Neural Networks and Learning Systems (TNNLS)

A Survey on Multi-output Learning

Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen

Comments Paper accepted by IEEE Transactions on Neural Networks and Learning Systems

Multilevel Graph Matching Networks for Deep Graph Similarity Learning

Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji

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

SpaRCe: Improved Learning of Reservoir Computing Systems through Sparse Representations

Luca Manneschi, Andrew C. Lin, Eleni Vasilaki

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 16 August 2021

Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning

Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks

Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun

Comments The work has been accepted by TNNLS

Journal ref IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2021

AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks

Hao Tang, Hong Liu, Dan Xu, Philip H. S. Torr, Nicu Sebe

Comments Accepted to TNNLS, an extended version of a paper published in IJCNN2019. arXiv admin note: substantial text overlap with arXiv:1903.12296