IEEE TNNLS

Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning

Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao

Comments IEEE Transactions on Neural Networks and Learning Systems

Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns

Christos Kyrkou

Comments Published in: IEEE Transactions on Neural Networks and Learning Systems Code: https://github.com/ckyrkou/STeP_Models ImageNet-16 Dataset: https://zenodo.org/records/8027520

A Survey on Deep Active Learning: Recent Advances and New Frontiers

Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura

Comments This paper is accepted by IEEE Transactions on Neural Networks and Learning Systems

FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning

Alexander Herzog, Robbie Southam, Ioannis Mavromatis, Aftab Khan

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

AAformer: Auto-Aligned Transformer for Person Re-Identification

Kuan Zhu, Haiyun Guo, Shiliang Zhang, Yaowei Wang, Jing Liu, Jinqiao Wang, Ming Tang

Comments Accepted by TNNLS. IEEE Transactions on Neural Networks and Learning Systems (2023)

Certified machine learning: Rigorous a posteriori error bounds for PDE defined PINNs

Birgit Hillebrecht, Benjamin Unger

Journal ref IEEE Transactions on Neural Networks and Learning Systems (2023), 1-11

Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks

Peter Samoaa, Mehrdad Farahani, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani

Comments This Paper is submitted to IEEE Transactions on Neural Networks and Learning Systems

A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies

Jinchao Zhu, Yuxuan Wang, Siyuan Pan, Pengfei Wan, Di Zhang, Gao Huang

Comments 19 pages, 16 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems

Filter Pruning based on Information Capacity and Independence

Xiaolong Tang, Shuo Ye, Yufeng Shi, Tianheng Hu, Qinmu Peng, Xinge You

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).The code will be available at https://github.com/txl-hub/ICI

UniHead: Unifying Multi-Perception for Detection Heads

Hantao Zhou, Rui Yang, Yachao Zhang, Haoran Duan, Yawen Huang, Runze Hu, Xiu Li, Yefeng Zheng

Comments Accepted by TNNLS

Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment

Kecheng Chen, Jie Liu, Renjie Wan, Victor Ho-Fun Lee, Varut Vardhanabhuti, Hong Yan, Haoliang Li

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning

Jinrong Zhang, Wujun Wen, Shenglan Liu, Yunheng Li, Qifeng Li, Lin Feng

Comments submit to TNNLS

Hierarchical Training of Deep Neural Networks Using Early Exiting

Yamin Sepehri, Pedram Pad, Ahmet Caner Yüzügüler, Pascal Frossard, L. Andrea Dunbar

Comments Accepted to IEEE Transactions on Neural Networks and Learning Systems (2024), 15 pages, 10 figures, 3 Tables

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks

Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li

Comments This manuscript is the accepted version for TNNLS(IEEE Transactions on Neural Networks and Learning Systems)

Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management

Yuanzheng Li, Shangyang He, Yang Li, Yang Shi, Zhigang Zeng

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Journal ref IEEE Transactions on Neural Networks and Learning Systems 35 (2024) 5902-5914

Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning

Xiaoqing Zhang, Zunjie Xiao, Xiao Wu, Yanlin Chen, Jilu Zhao, Yan Hu, Jiang Liu

Comments 15 pages

Journal ref TNNLS 2024

Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems

Zhangchi Qiu, Ye Tao, Shirui Pan, Alan Wee-Chung Liew

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

Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference

Boyan Li, Luziwei Leng, Shuaijie Shen, Kaixuan Zhang, Jianguo Zhang, Jianxing Liao, Ran Cheng

Comments IEEE TNNLS

Federated Learning with Only Positive Labels by Exploring Label Correlations

Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao

Comments To be published in IEEE Transactions on Neural Networks and Learning Systems

Towards Robust and Interpretable EMG-based Hand Gesture Recognition using Deep Metric Meta Learning

Simon Tam, Shriram Tallam Puranam Raghu, Étienne Buteau, Erik Scheme, Mounir Boukadoum, Alexandre Campeau-Lecours, Benoit Gosselin

Comments 11 pages, 9 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems

Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets

Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Salih Atici, Ahmet Enis Cetin

Comments This work is accepted to IEEE Transactions on Neural Networks and Learning Systems. The initial title is "Orthogonal Transform Domain Approaches for the Convolutional Layer". We changed it to "Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets" based on reviewer's comment. arXiv admin note: text overlap with arXiv:2211.08577

Formation Control of Nonlinear Multi-Agent Systems Using Three-Layer Neural Networks

Kiarash Aryankia, Rastko R. Selmic

Comments 12 pages, 11 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks

Rui-Jie Zhu, Malu Zhang, Qihang Zhao, Haoyu Deng, Yule Duan, Liang-Jian Deng

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

GenURL: A General Framework for Unsupervised Representation Learning

Siyuan Li, Zicheng Liu, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li

Comments TNNLS 2024 version with 13 pages and 14 figures

HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding

Hanzhuo Tan, Chunpu Xu, Jing Li, Yuqun Zhang, Zeyang Fang, Zeyu Chen, Baohua Lai

Comments https://github.com/albertan017/HICL

Journal ref 10.1109/TNNLS.2024.3384987

Deep learning for dynamic graphs: models and benchmarks

Alessio Gravina, Davide Bacciu

Comments Preprint version. Accepted at IEEE TNNLS (https://ieeexplore.ieee.org/document/10490120)

Sparsely Activated Networks

Paschalis Bizopoulos, Dimitrios Koutsouris

Comments 10 pages, 5 figures, 4 algorithms, 4 tables, submission to IEEE Transactions on Neural Networks and Learning Systems

Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction

Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen Badiey, Fragkiskos D. Malliaros

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

Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting

Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao

Comments 16 pages, 7 figures, accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning

Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han

Comments IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2021