Connectionists: NEURAL NETWORKS, April 2023

[Wang, Deliang]

Neural Networks - Volume 161, April 2023
https://www.journals.elsevier.com/neural-networks


Partial label learning: Taxonomy, analysis and outlook
Yingjie Tian, Xiaotong Yu, Saiji Fu

Rapid learning of spatial representations for goal-directed navigation based on a novel model of hippocampal place fields
Adedapo Alabi, Dieter Vanderelst, Ali A. Minai

The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data
Christian Tsvetkov, Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers

Hierarchical neural network with efficient selection inference
Jian-Xun Mi, Nuo Li, Ke-Yang Huang, Weisheng Li, Lifang Zhou

SPIDE: A purely spike-based method for training feedback spiking neural networks
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin

Interpretable local flow attention for multi-step traffic flow prediction
Xu Huang, Bowen Zhang, Shanshan Feng, Yunming Ye, Xutao Li

Enhanced robust spatial feature selection and correlation filter learning for UAV tracking
Jiajun Wen, Honglin Chu, Zhihui Lai, Tianyang Xu, Linlin Shen

Cross-modal guiding and reweighting network for multi-modal RSVP-based target detection
Jiayu Mao, Shuang Qiu, Wei Wei, Huiguang He

Enhanced tensor low-rank representation learning for multi-view clustering
Deyan Xie, Quanxue Gao, Ming Yang

Fractional derivative based weighted skip connections for satellite image road segmentation
Sugandha Arora, Harsh Kumar Suman, Trilok Mathur, Hari Mohan Pandey, Kamlesh Tiwari

A feedforward unitary equivariant neural network
Pui-Wai Ma, T.-H. Hubert Chan

An effective low-rank compression with a joint rank selection followed by a compression-friendly training
Moonjung Eo, Suhyun Kang, Wonjong Rhee

Leveraging joint incremental learning objective with data ensemble for class incremental learning
Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh

Domain adaptive object detection with model-agnostic knowledge transferring
Kun Tian, Chenghao Zhang, Ying Wang, Shiming Xiang

Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization
Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar

Cooperative modular reinforcement learning for large discrete action space problem
Fangzhu Ming, Feng Gao, Kun Liu, Chengmei Zhao

Feature relocation network for fine-grained image classification
Peng Zhao, Yi Li, Baowei Tang, Huiting Liu, Sheng Yao

Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning
Zikai Feng, Mengxing Huang, Yuanyuan Wu, Di Wu, ... Nadezhda Gorbacheva

Video summarization for event-centric videos
Qingwen Li, Jianni Chen, Qiqin Xie, Xiao Han

U-SPDNet: An SPD manifold learning-based neural network for visual classification
Rui Wang, Xiao-Jun Wu, Tianyang Xu, Cong Hu, Josef Kittler

MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults
Pengyu Song, Chunhui Zhao, Biao Huang

SuperFormer: Continual learning superposition method for text classification
Marko Zeman, Jana Faganeli Pucer, Igor Kononenko, Zoran Bosnić

Improving transparency and representational generalizability through parallel continual learning
Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, ... Hwee Kuan Lee

Continual Object Detection: A review of definitions, strategies, and challenges
Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C.P.L.F. de Carvalho

Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition
Leyuan Qu, Cornelius Weber, Stefan Wermter

SP-GNN: Learning structure and position information from graphs
Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, ... Yibo Zhu

Regularizing transformers with deep probabilistic layers
Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz

Memory-efficient Transformer-based network model for Traveling Salesman Problem
Hua Yang, Minghao Zhao, Lei Yuan, Yang Yu, ... Ming Gu

Feature flow regularization: Improving structured sparsity in deep neural networks
Yue Wu, Yuan Lan, Luchan Zhang, Yang Xiang

Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation
Qian Wang, Fanlin Meng, Toby P. Breckon

Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning
Baicheng Pan, Chuandong Li, Hangjun Che

CLAD: A realistic Continual Learning benchmark for Autonomous Driving
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, ... Tinne Tuytelaars

TL-ADA: Transferable Loss-based Active Domain Adaptation
Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, Sungeun Hong

Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation
JoonHo Lee, Gyemin Lee

MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification
Diponkor Bala, Md. Shamim Hossain, Mohammad Alamgir Hossain, Md. Ibrahim Abdullah, ... Zhangjin Huang

Quasi-synchronization of drive-response systems with parameter mismatch via event-triggered impulsive control
Huannan Zheng, Nanxiang Yu, Wei Zhu

Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates
Weipeng Tai, Xinling Li, Jianping Zhou, Sabri Arik

Approximation bounds for convolutional neural networks in operator learning
Nicola Rares Franco, Stefania Fresca, Andrea Manzoni, Paolo Zunino

Accelerating gradient descent and Adam via fractional gradients
Yeonjong Shin, Jérôme Darbon, George Em Karniadakis

Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations
Denis Belomestny, Alexey Naumov, Nikita Puchkin, Sergey Samsonov

IASA: An IoU-aware tracker with adaptive sample assignment
Kai Yang, Haijun Zhang, Dongliang Zhou, Li Dong, Jianghong Ma

Multi-relational graph convolutional networks: Generalization guarantees and experiments
Xutao Li, Michael K. Ng, Guangning Xu, Andy Yip

UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection
Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, ... Stan Z. Li

A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles
Jingxin Liu, Xiaofeng Liao, Jin-song Dong, Amin Mansoori

DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing
Jiun-Da Lin, Yue-Hua Han, Po-Han Huang, Julianne Tan, ... Kai-Lung Hua

CrimeNet: Neural Structured Learning using Vision Transformer for violence detection
Fernando J. Rendón-Segador, Juan A. Álvarez-García, Jose L. Salazar-González, Tatiana Tommasi

Few-shot link prediction for temporal knowledge graphs based on time-aware translation and attention mechanism
Han Zhang, Luyi Bai

Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots
José de Jesús Rubio

Hybrid distributed finite-time neurodynamic optimization of electric vehicle charging schemes management in microgrid considering time-varying factors
Haohao Qin, Gui Zhao, Yue Li, Hui Wang

Neural network model for imprecise regression with interval dependent variables
Krasymyr Tretiak, Georg Schollmeyer, Scott Ferson

Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach
Lixin Yang, Jie Tao, Yong-Hua Liu, Yong Xu, Chun-Yi Su

Learning to Generate Tips from Song Reviews
Jingya Zang, Cuiyun Gao, Yupan Chen, Ruifeng Xu, ... Xuan Wang

Knowledge-Preserving continual person re-identification using Graph Attention Network
Zhaoshuo Liu, Chaolu Feng, Shuaizheng Chen, Jun Hu

VISAL-A novel learning strategy to address class imbalance
Sree Rama Vamsidhar S., Arun Kumar Sivapuram, Vaishnavi Ravi, Gowtham Senthil, Rama Krishna Gorthi

Learning matrix factorization with scalable distance metric and regularizer
Shiping Wang, Yunhe Zhang, Xincan Lin, Lichao Su, ... Yiqing Shi

BalanceHRNet: An effective network for bottom-up human pose estimation
Yaoping Li, Shuangcheng Jia, Qian Li

MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams
Xinyu Peng, Fei-Yue Wang, Li Li

Eigen value based loss function for training attractors in iterated autoencoders
Ali Nouri, Seyyed Ali Seyyedsalehi


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