Connectionists: NEURAL NETWORKS, Jan. 2022

[Wang, Deliang]

Neural Networks - Volume 145, January 2022
https://www.journals.elsevier.com/neural-networks


Editorial: Continual growth and a transition
Kenji Doya, Taro Toyoizumi, DeLiang Wang

Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation
Wei Xia, Sen Wang, Ming Yang, Quanxue Gao, ... Xinbo Gao

Generalized attention-weighted reinforcement learning
Lennart Bramlage, Aurelio Cortese

New effective approach to quasi synchronization of coupled heterogeneous complex networks
Tianping Chen

Meta-learning, social cognition and consciousness in brains and machines
Angela Langdon, Matthew Botvinick, Hiroyuki Nakahara, Keiji Tanaka, ... Ryota Kanai

Reinforcement learning and its connections with neuroscience and psychology
Ajay Subramanian, Sharad Chitlangia, Veeky Baths

Minimum spanning tree based graph neural network for emotion classification using EEG
Hanjie Liu, Jinren Zhang, Qingshan Liu, Jinde Cao

A complementary learning approach for expertise transference of human-optimized controllers
Adolfo Perrusquía

Interpolation consistency training for semi-supervised learning
Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, ... David Lopez-Paz

Learning policy scheduling for text augmentation
Shuokai Li, Xiang Ao, Feiyang Pan, Qing He

Cross-attention-map-based regularization for adversarial domain adaptation
Jingwei Li, Huanjie Wang, Ke Wu, Chengbao Liu, Jie Tan

Zenithal isotropic object counting by localization using adversarial training
Javier Rodriguez-Vazquez, Adrian Alvarez-Fernandez, Martin Molina, Pascual Campoy

Epistemic uncertainty quantification in deep learning classification by the Delta method
Geir K. Nilsen, Antonella Z. Munthe-Kaas, Hans J. Skaug, Morten Brun

IC neuron: An efficient unit to construct neural networks
Junyi An, Fengshan Liu, Furao Shen, Jian Zhao, ... Kepan Gao

Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation
Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu

GuidedStyle: Attribute knowledge guided style manipulation for semantic face editing
Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, ... Jun Wan

Sparsity-control ternary weight networks
Xiang Deng, Zhongfei Zhang

Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction
Ahmad Ali, Yanmin Zhu, Muhammad Zakarya

Curriculum learning with Hindsight Experience Replay for sequential object manipulation tasks
B. Manela, A. Biess

Structure inference of networked system with the synergy of deep residual network and fully connected layer network
Keke Huang, Shuo Li, Wenfeng Deng, Zhaofei Yu, Lei Ma

Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities
Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda

Nostradamus: A novel event propagation prediction approach with spatio-temporal characteristics in non-Euclidean space
Haizhou Du, Yan Zhou

LGN-CNN: A biologically inspired CNN architecture
Federico Bertoni, Giovanna Citti, Alessandro Sarti

Approximation capabilities of neural networks on unbounded domains
Ming-Xi Wang, Yang Qu

Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior
Keita Mori, Naohiro Yamauchi, Haoyu Wang, Ken Sato, ... Yuichi Iino

On the capacity of deep generative networks for approximating distributions
Yunfei Yang, Zhen Li, Yang Wang

Exponential synchronization of coupled neural networks under stochastic deception attacks
Huihui Zhang, Lulu Li, Xiaodi Li

Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization
Jinlan Liu, Jun Kong, Dongpo Xu, Miao Qi, Yinghua Lu

Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays
K. Udhayakumar, Fathalla A. Rihan, R. Rakkiyappan, Jinde Cao

Event-based master-slave synchronization of complex-valued neural networks via pinning impulsive control
Yuan Shen, Xinzhi Liu

Enriching query semantics for code search with reinforcement learning
Chaozheng Wang, Zhenhao Nong, Cuiyun Gao, Zongjie Li, ... Yang Liu

Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization
Man-Fai Leung, Jun Wang

FCL-Net: Towards accurate edge detection via Fine-scale Corrective Learning
Wenjie Xuan, Shaoli Huang, Juhua Liu, Bo Du

Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis
Jinyang Jiao, Jing Lin, Ming Zhao, Kaixuan Liang, Chuancang Ding

FOREX rate prediction improved by Elliott waves patterns based on neural networks
Robert Jarusek, Eva Volna, Martin Kotyrba
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