Connectionists: NEURAL NETWORKS, November 2023

[Wang, Deliang]

Neural Networks - Volume 168, November 2023
https://www.journals.elsevier.com/neural-networks


Competitive learning to generate sparse representations for associative memory
Luis Sacouto, Andreas Wichert

Improved prediction of behavioral and neural similarity spaces using pruned DNNs
Priya Tarigopula, Scott Laurence Fairhall, Anna Bavaresco, Nhut Truong, Uri Hasson

Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations
Chengdai Huang, Huanan Wang, Heng Liu, Jinde Cao

Reward prediction-errors weighted by cue salience produces addictive behaviours in simulations, with asymmetrical learning and steeper delay discounting
Shivam Kalhan, Marta I. Garrido, Robert Hester, A. David Redish

An Adversarial Time–Frequency Reconstruction Network for Unsupervised Anomaly Detection
Jin Fan, Zehao Wang, Huifeng Wu, Danfeng Sun, ... Xin Lu

CEGAT: A CNN and enhanced-GAT based on key sample selection strategy for hyperspectral image classification
Cuiping Shi, Haiyang Wu, Liguo Wang

Symmetric LINEX loss twin support vector machine for robust classification and its fast iterative algorithm
Qi Si, Zhixia Yang, Junyou Ye

Joint learning of feature and topology for multi-view graph convolutional network
Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, Shiping Wang

RepCo: Replenish sample views with better consistency for contrastive learning
Xinyu Lei, Longjun Liu, Yi Zhang, Puhang Jia, ... Nanning Zheng

Dynamic sparse coding-based value estimation network for deep reinforcement learning
Haoli Zhao, Zhenni Li, Wensheng Su, Shengli Xie

Reliable prediction intervals with directly optimized inductive conformal regression for deep learning
Haocheng Lei, Anthony Bellotti

A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition
Qiong Chen, Tianlin Huang, Geren Zhu, Enlu Lin

UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network
Kuai Dai, Xutao Li, Chuyao Luo, Wuqiao Chen, ... Shanshan Feng

A multi-scale self-supervised hypergraph contrastive learning framework for video question answering
Zheng Wang, Bin Wu, Kaoru Ota, Mianxiong Dong, He Li

Synergetic learning for unknown nonlinear H_{infinity} control using neural networks
Liao Zhu, Ping Guo, Qinglai Wei

Single image denoising with a feature-enhanced network
Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu

How to backdoor split learning
Fangchao Yu, Lina Wang, Bo Zeng, Kai Zhao, ... Tian Wu

Generalized heterophily graph data augmentation for node classification
Bisheng Tang, Xiaojun Chen, Shaopu Wang, Yuexin Xuan, Zhendong Zhao

Multidomain active defense: Detecting multidomain backdoor poisoned samples via ALL-to-ALL decoupling training without clean datasets
Binhao Ma, Jiahui Wang, Dejun Wang, Bo Meng

STMMOT: Advancing multi-object tracking through spatiotemporal memory networks and multi-scale attention pyramids
Hamza Mukhtar, Muhammad Usman Ghani Khan

Mean-field neural networks: Learning mappings on Wasserstein space
Huyên Pham, Xavier Warin

Quantized minimum error entropy with fiducial points for robust regression
Yunfei Zheng, Shiyuan Wang, Badong Chen

Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems
Dawen Wu, Abdel Lisser

A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity
Jikui Wang, Yiwen Wu, Shaobo Li, Feiping Nie

Unsupervised anomaly detection by densely contrastive learning for time series data
Wei Zhu, Weijian Li, E. Ray Dorsey, Jiebo Luo

Exploring the role of edge distribution in graph convolutional networks
Liancheng He, Liang Bai, Xian Yang, Zhuomin Liang, Jiye Liang

Understanding neural network through neuron level visualization
Hui Dou, Furao Shen, Jian Zhao, Xinyu Mu

A multidimensional feature fusion network based on MGSE and TAAC for video-based human action recognition
Shuang Zhou, Hongji Xu, Zhiquan Bai, Zhengfeng Du, ... Jie Xu

CompNet: Complementary network for single-channel speech enhancement
Cunhang Fan, Hongmei Zhang, Andong Li, Wang Xiang, ... Xiaopei Wu

Trust-aware conditional adversarial domain adaptation with feature norm alignment
Jun Dan, Tao Jin, Hao Chi, Shunjie Dong, ... Xinjing Yang

Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker
Jiran Zhu, Jikun Dong, Hongyun Du, Yanfang Geng, ... Weizhi Xu

Graph structure reforming framework enhanced by commute time distance for graph classification
Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, ... Wenbin Hu

STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting
Azad Deihim, Eduardo Alonso, Dimitra Apostolopoulou

Deep graph reconstruction for multi-view clustering
Mingyu Zhao, Weidong Yang, Feiping Nie

Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda

Zero time waste in pre-trained early exit neural networks
Bartosz Wójcik, Marcin Przewiȩźlikowski, Filip Szatkowski, Maciej Wołczyk, ... Tomasz Trzciński

Unsupervised Domain Adaptation with Asymmetrical Margin Disparity loss and Outlier Sample Extraction
Chunmei He, Xianjun Fan, Kang Zhou, Zhengchun Ye

LaenNet: Learning robust GCNs by propagating labels
Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, ... Bo Yang

Learning smooth dendrite morphological neurons by stochastic gradient descent for pattern classification
Wilfrido Gómez-Flores, Humberto Sossa

Adaptive control-based synchronization of discrete-time fractional-order fuzzy neural networks with time-varying delays
Hong-Li Li, Jinde Cao, Cheng Hu, Long Zhang, Haijun Jiang

An exact mapping from ReLU networks to spiking neural networks
Ana Stanojevic, Stanisław Woźniak, Guillaume Bellec, Giovanni Cherubini, ... Wulfram Gerstner

Adaptive neural network control for Markov jumping systems against deception attacks
Junhui Wu, Gang Qin, Jun Cheng, Jinde Cao, ... Iyad Katib

Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statistics
Yusuke Hamano, Shoko Nagasaka, Hayaru Shouno

Lower and upper bounds for numbers of linear regions of graph convolutional networks
Hao Chen, Yu Guang Wang, Huan Xiong

A biologically inspired architecture with switching units can learn to generalize across backgrounds
Doris Voina, Eric Shea-Brown, Stefan Mihalas

FOESO-Net: A specific neural network for fast sensorless robot manipulator torque estimation
Shike Long, Xuanju Dang, Jia Huang

Self-supervised depth super-resolution with contrastive multiview pre-training
Xin Qiao, Chenyang Ge, Chaoqiang Zhao, Fabio Tosi, ... Stefano Mattoccia

Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search
Longxing Yang, Yanxin Fu, Shun Lu, Zihao Sun, ... Yu Hu

EQNAS: Evolutionary Quantum Neural Architecture Search for Image Classification
Yangyang Li, Ruijiao Liu, Xiaobin Hao, Ronghua Shang, ... Licheng Jiao

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