IEEE TNNLS

Beneficial Perturbation Network for designing general adaptive artificial intelligence systems

Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti

Comments Accepted at IEEE Transactions on Neural Networks and Learning Systems Keyword: Adaptive artificial intelligence system , Switch modes , Beneficial perturbations , Continual learning , Adversarial examples

Journal ref IEEE Transactions on Neural Networks and Learning Systems 2021

Efficient Sparse Artificial Neural Networks

Seyed Majid Naji, Azra Abtahi, Farokh Marvasti

Comments Submitted in IEEE Transactions on Neural Networks and Learning Systems

Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance

Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya

Comments Submitted to TNNLS

Multi-Task Representation Learning with Multi-View Graph Convolutional Networks

Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, Hai Jin

Comments IEEE Transactions on Neural Networks and Learning Systems 2020

A Survey of End-to-End Driving: Architectures and Training Methods

Ardi Tampuu, Maksym Semikin, Naveed Muhammad, Dmytro Fishman, Tambet Matiisen

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

Faster Stochastic Quasi-Newton Methods

Qingsong Zhang, Feihu Huang, Cheng Deng, Heng Huang

Comments 11 pages, accepted for publication by TNNLS. arXiv admin note: text overlap with arXiv:1902.02715 by other authors

On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier

Jingwei Zhang, Tongliang Liu, Dacheng Tao

Comments Under Minor Revision in TNNLS

SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification

Haojie Liu, Shun Ma, Daoxun Xia, Shaozi Li

Comments This paper has been submitted to the journal of IEEE Transactions on Neural Networks and Learning Systems

A Plug-in Method for Representation Factorization in Connectionist Models

Jee Seok Yoon, Myung-Cheol Roh, Heung-Il Suk

Comments in IEEE Transactions on Neural Networks and Learning Systems, 2021

Convolutional Ordinal Regression Forest for Image Ordinal Estimation

Haiping Zhu, Hongming Shan, Yuheng Zhang, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang

Comments Accepted by IEEE TNNLS

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

Learning Gaussian-Bernoulli RBMs using Difference of Convex Functions Optimization

Vidyadhar Upadhya, P S Sastry

Comments Submitted to IEEE-TNNLS

Lifelong Incremental Reinforcement Learning with Online Bayesian Inference

Zhi Wang, Chunlin Chen, Daoyi Dong

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

Concept Drift and Anomaly Detection in Graph Streams

Daniele Zambon, Cesare Alippi, Lorenzo Livi

Journal ref IEEE Transactions on Neural Networks and Learning Systems (Volume: 29, Issue: 11, Nov. 2018)

Template-Free Try-on Image Synthesis via Semantic-guided Optimization

Chien-Lung Chou, Chieh-Yun Chen, Chia-Wei Hsieh, Hong-Han Shuai, Jiaying Liu, Wen-Huang Cheng

Comments Accepted by IEEE TNNLS (2021). 14 pages including 2 pages of reference

Local Critic Training for Model-Parallel Learning of Deep Neural Networks

Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee

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

Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder

Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin

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

Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation

Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li

Comments 14 pages, 11 figures

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

Quantifying the Alignment of Graph and Features in Deep Learning

Yifan Qian, Paul Expert, Tom Rieu, Pietro Panzarasa, Mauricio Barahona

Comments Published in IEEE Transactions on Neural Networks and Learning Systems; Date of Publication: 11 January 2021

Simple yet Effective Way for Improving the Performance of GAN

Yong-Goo Shin, Yoon-Jae Yeo, Sung-Jea Ko

Comments Accepted to IEEE transactions on neural networks and learning systems

Ensemble Pruning based on Objection Maximization with a General Distributed Framework

Yijun Bian, Yijun Wang, Yaqiang Yao, Huanhuan Chen

Comments Accepted by TNNLS

Convolutional Neural Networks with Dynamic Regularization

Yi Wang, Zhen-Peng Bian, Junhui Hou, Lap-Pui Chau

Comments 7 pages. Accepted for Publication at IEEE TNNLS

Weak Human Preference Supervision For Deep Reinforcement Learning

Zehong Cao, KaiChiu Wong, Chin-Teng Lin

Comments Submitting to IEEE Transactions on Neural Networks and Learning Systems

Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding

Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin

Comments To appear in TNNLS 2021. Considering that a desirable VQA model should correctly perceive the image context, understand the question, and incorporate its learned knowledge, our proposed dataset aims to cutoff the shortcut learning exploited by the current deep embedding models and push the research boundary of the knowledge-based visual question reasoning

Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks

Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao

Comments This paper has been accepted by TNNLS December 2020. Project page:https://github.com/junwan2014/MMDN-master

Modularizing Deep Learning via Pairwise Learning With Kernels

Shiyu Duan, Shujian Yu, Jose Principe

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

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings

Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang

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

SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold

Rudrasis Chakraborty, Yifei Xing, Stella Yu

Comments 12 pages, accepted to TNNLS journal

Parameter Efficient Deep Neural Networks with Bilinear Projections

Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang

Journal ref IEEE Transactions on Neural Networks and Learning Systems 2020

Variational Inference and Learning of Piecewise-linear Dynamical Systems

Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

Multilinear Compressive Learning

Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis

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