IEEE TNNLS

Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation

Anjin Liu, Jie Lu, Guangquan Zhang

Comments in IEEE Transactions on Neural Networks and Learning Systems, 2020

Mimic and Fool: A Task Agnostic Adversarial Attack

Akshay Chaturvedi, Utpal Garain

Journal ref IEEE Transactions on Neural Networks and Learning Systems (2020)

Learnable Subspace Clustering

Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu

Comments IEEE Transactions on Neural Networks and Learning Systems (accepted with minor revision)

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems

Oindrila Chatterjee, Shantanu Chakrabartty

Comments Version3, accepted in IEEE TNNLS, March 2020

cGANs with Conditional Convolution Layer

Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo, Seung Park, Sung-Jea Ko

Comments Submitted to IEEE Trans. Neural Networks and Learning Systems (TNNLS)

Enhancing approximation abilities of neural networks by training derivatives

V. I. Avrutskiy

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

A Learning Framework for n-bit Quantized Neural Networks toward FPGAs

Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng

Comments This paper has been accepted for publication in the IEEE Transactions on Neural Networks and Learning Systems

Journal ref IEEE Transactions on Neural Networks and Learning Systems 2020

Pool-Based Sequential Active Learning for Regression

Dongrui Wu

Journal ref in IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 5, pp. 1348-1359, May 2019

Modal Regression based Structured Low-rank Matrix Recovery for Multi-view Learning

Jiamiao Xu, Fangzhao Wang, Qinmu Peng, Xinge You, Shuo Wang, Xiao-Yuan Jing, C. L. Philip Chen

Comments This article has been accepted by IEEE Transactions on Neural Networks and Learning Systems

Few-Shot Learning with Geometric Constraints

Hong-Gyu Jung, Seong-Whan Lee

Comments Accepted for publication in IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)

PEPSI++: Fast and Lightweight Network for Image Inpainting

Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Wook Kim, Sung-Jea Ko

Comments Accepted to IEEE transactions on Neural Networks and Learning Systems. To be published

Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification

Zhiqiang Gong, Ping Zhong, Weidong Hu

Comments Accepted by IEEE TNNLS

3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

Kaixuan Wei, Ying Fu, Hua Huang

Comments Accepted by IEEE Transactions on Neural Network and Learning System (TNNLS), 2020

A New Continuous-Time Equality-Constrained Optimization Method to Avoid Singularity

Quan Quan, Kai-Yuan Cai

Comments 23 pages. Optimization; equality constraints; control theoretic approaches; continuous-time dynamical systems

Journal ref IEEE Transactions on Neural Networks and Learning Systems. 2016, 27(2): 262-272

Log-sum-exp neural networks and posynomial models for convex and log-log-convex data

Giuseppe C. Calafiore, Stephane Gaubert, Corrado Possieri

Journal ref IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 3, pp. 827-838, Mar. 2020

Reinforcement Learning from Hierarchical Critics

Zehong Cao, Chin-Teng Lin

Comments This paper is submitted to IEEE TNNLS

Naive Gabor Networks for Hyperspectral Image Classification

Chenying Liu, Jun Li, Lin He, Antonio J. Plaza, Shutao Li, Bo Li

Comments This paper has been accepted by IEEE TNNLS

Heterogeneous domain adaptation: An unsupervised approach

Feng Liu, Guanquan Zhang, Jie Lu

Comments This paper has been accepted by IEEE transactions on neural networks and learning systems (TNNLS)

Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration

Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, Jose C. Principe

Comments Paper accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Code for 1) estimating information quantities, 2) plotting the information plane, and 3) selecting convolutional filters, is available from (MATLAB) https://drive.google.com/drive/folders/1DJYshWIiijKWrFKrztW9FgTzGfMV3D8M?usp=sharing or (Python) https://github.com/Wickstrom/InfExperiment

Dissecting Deep Neural Networks

Haakon Robinson, Adil Rasheed, Omer San

Comments 12 pages, 10 figures (not including bio pics), submitted to IEEE Transactions on Neural Networks and Learning Systems

Information Losses in Neural Classifiers from Sampling

Brandon Foggo, Nanpeng Yu, Jie Shi, Yuanqi Gao

Comments To be published in IEEE TNNLS

Blind Denoising Autoencoder

Angshul Majumdar

Comments The final version accepted at IEEE Transactions on Neural Networks and Learning Systems

Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions

Yunwen Lei, Ting Hu, Guiying Li, Ke Tang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2019.2952219

Continuous Dropout

Xu Shen, Xinmei Tian, Tongliang Liu, Fang Xu, Dacheng Tao

Comments Accepted by TNNLS

Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning

Yulin Sun, Zhao Zhang, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang

Comments Accepted by IEEE TNNLS

A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis

Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji

Comments Published in IEEE Transactions on Neural Networks and Learning Systems

Journal ref IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No.12, pp. 3021-3033, 2015

A Proposed Artificial intelligence Model for Real-Time Human Action Localization and Tracking

Ahmed Ali Hammam, Mona Soliman, Aboul Ella Hassanien

Comments SUBMITTED TO IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Adaptive Kernel Value Caching for SVM Training

Qinbin Li, Zeyi Wen, Bingsheng He

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

Geometric Matrix Completion with Deep Conditional Random Fields

Duc Minh Nguyen, Robert Calderbank, Nikos Deligiannis

Comments Accepted to IEEE Transactions on Neural Networks and Learning Systems

Adversarial Examples: Opportunities and Challenges

Jiliang Zhang, Chen Li

Comments 16 pages, 13 figures, 5 tables

Journal ref IEEE Transactions on Neural Networks and Learning Systems (2019)