IEEE TNNLS

Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments

Zhi Wang, Chunlin Chen, Daoyi Dong

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems, 2022, DOI: 10.1109/TNNLS.2022.3160173

UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios

Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding

Comments Accepted by IEEE Trans. TNNLS. We update the experimental results by repeating more experiments

Journal ref IEEE Transactions on Neural Networks and Learning Systems

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022

A Levenberg-Marquardt algorithm for sparse identification of dynamical systems

Mark Haring, Esten Ingar Grøtli, Signe Riemer-Sørensen, Katrine Seel, Kristian Gaustad Hanssen

Comments 14 pages, 7 figures, published in IEEE Transactions on Neural Networks and Learning Systems

Real-time Semantic Segmentation via Spatial-detail Guided Context Propagation

Shijie Hao, Yuan Zhou, Yanrong Guo, Richang Hong, Jun Cheng, Meng Wang

Comments The paper has been accepted in the IEEE Transactions on Neural Networks and Learning Systems

Towards Personalized Federated Learning

Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs

Gengyun Jia, Peipei Li, Ran He

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Deep Class Incremental Learning from Decentralized Data

Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems. Revised version

Self-Training for Class-Incremental Semantic Segmentation

Lu Yu, Xialei Liu, Joost van de Weijer

Comments Accepted at TNNLS

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022

Learning from Noisy Labels with Deep Neural Networks: A Survey

Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee

Comments Final version published in TNNLS Journal (2022 March)

Convergence of the Distributed SG Algorithm Under Cooperative Excitation Condition

Die Gan, Zhixin Liu

Comments 14 pages, 2 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems

LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing

Zhenzhi Wu, Hehui Zhang, Yihan Lin, Guoqi Li, Meng Wang, Ye Tang

Comments 14 pages, 9 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems

Causal Incremental Graph Convolution for Recommender System Retraining

Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text

Canjie Luo, Yuanzhi Zhu, Lianwen Jin, Zhe Li, Dezhi Peng

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

EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network

Jian Cui, Zirui Lan, Olga Sourina, Wolfgang Müller-Wittig

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022

Distilling a Powerful Student Model via Online Knowledge Distillation

Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji

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

LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching

Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang

Comments Accpeted by IEEE Transactions on Neural Networks and Learning Systems

DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks

Jiachen Zhong, Junying Chen, Ajmal Mian

Comments Accepted for publication in IEEE TNNLS

Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network

Mohammadreza Radmanesh, Hossein Ghorbanzadeh, Ahmad Asgharian Rezaei, Mahdi Jalili, Xinghuo Yu

Comments 16 Pages, 7 figures, 4 tables. Submitted to AEEE TNNLS

MCDAL: Maximum Classifier Discrepancy for Active Learning

Jae Won Cho, Dong-Jin Kim, Yunjae Jung, In So Kweon

Comments 11 pages, Accepted to IEEE-TNNLS

Filter Pruning by Switching to Neighboring CNNs with Good Attributes

Yang He, Ping Liu, Linchao Zhu, Yi Yang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

A Survey on Evolutionary Neural Architecture Search

Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan

Comments this paper has been accepted for publication by IEEE Transactions on Neural Networks and Learning Systems (2021)

Fast Kronecker product kernel methods via generalized vec trick

Antti Airola, Tapio Pahikkala

Journal ref IEEE Transactions on Neural Networks and Learning Systems, Volume: 29, Issue: 8, Aug. 2018, pages 3374 - 3387

Carrying out CNN Channel Pruning in a White Box

Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji

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

Debiased Graph Neural Networks with Agnostic Label Selection Bias

Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang

Comments Accepted by TNNLS;12 pages

From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation

Zhangxuan Gu, Siyuan Zhou, Li Niu, Zihan Zhao, Liqing Zhang

Comments accepted by TNNLS

Automatic Sparse Connectivity Learning for Neural Networks

Zhimin Tang, Linkai Luo, Bike Xie, Yiyu Zhu, Rujie Zhao, Lvqing Bi, Chao Lu

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

Self Punishment and Reward Backfill for Deep Q-Learning

Mohammad Reza Bonyadi, Rui Wang, Maryam Ziaei

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022

Stable and Efficient Policy Evaluation

Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang

Comments IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS). arXiv admin note: text overlap with arXiv:1704.05147

SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training

Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

Comments Accepted to IEEE Transactions on Neural Networks and Learning Systems arXiv admin note: substantial text overlap with arXiv:2005.03403