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Neural Networks, Volume 145
Volume 145, January 2022
- Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. xix - Kenji Doya, Taro Toyoizumi, DeLiang Wang:
Continual growth and a transition. xx-xxi - Wei Xia, Sen Wang, Ming Yang, Quanxue Gao, Jungong Han, Xinbo Gao:
Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation. 1-9 - Lennart Bramlage, Aurelio Cortese:
Generalized attention-weighted reinforcement learning. 10-21
- Tianping Chen:
New effective approach to quasi synchronization of coupled heterogeneous complex networks. 139-143
- Angela Langdon, Matthew M. Botvinick, Hiroyuki Nakahara, Keiji Tanaka, Masayuki Matsumoto, Ryota Kanai:
Meta-learning, social cognition and consciousness in brains and machines. 80-89
- Ajay Subramanian, Sharad Chitlangia, Veeky Baths:
Reinforcement learning and its connections with neuroscience and psychology. 271-287 - Hanjie Liu, Jinren Zhang, Qingshan Liu, Jinde Cao:
Minimum spanning tree based graph neural network for emotion classification using EEG. 308-318
- Adolfo Perrusquía:
A complementary learning approach for expertise transference of human-optimized controllers. 33-41 - Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz:
Interpolation consistency training for semi-supervised learning. 90-106 - Shuokai Li, Xiang Ao, Feiyang Pan, Qing He:
Learning policy scheduling for text augmentation. 121-127 - Jingwei Li, Huanjie Wang, Ke Wu, Chengbao Liu, Jie Tan:
Cross-attention-map-based regularization for adversarial domain adaptation. 128-138 - Javier Rodríguez-Vázquez, Adrian Alvarez-Fernandez, Martin Molina, Pascual Campoy:
Zenithal isotropic object counting by localization using adversarial training. 155-163 - Geir Kjetil Nilsen, Antonella Zanna Munthe-Kaas, Hans J. Skaug, Morten Brun:
Epistemic uncertainty quantification in deep learning classification by the Delta method. 164-176 - Junyi An, Fengshan Liu, Furao Shen, Jian Zhao, Ruotong Li, Kepan Gao:
IC neuron: An efficient unit to construct neural networks. 177-188 - Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu:
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation. 199-208 - Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, Zhihui Lai, Jun Wan:
GuidedStyle: Attribute knowledge guided style manipulation for semantic face editing. 209-220 - Xiang Deng, Zhongfei Zhang:
Sparsity-control ternary weight networks. 221-232 - Ahmad Ali, Yanmin Zhu, Muhammad Zakarya:
Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction. 233-247 - Binyamin Manela, Armin Biess:
Curriculum learning with Hindsight Experience Replay for sequential object manipulation tasks. 260-270 - Keke Huang, Shuo Li, Wenfeng Deng, Zhaofei Yu, Lei Ma:
Structure inference of networked system with the synergy of deep residual network and fully connected layer network. 288-299 - Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda:
Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities. 356-373 - Haizhou Du, Yan Zhou:
Nostradamus: A novel event propagation prediction approach with spatio-temporal characteristics in non-Euclidean space. 386-394
- Federico Bertoni, Giovanna Citti, Alessandro Sarti:
LGN-CNN: A biologically inspired CNN architecture. 42-55 - Ming-Xi Wang, Yang Qu:
Approximation capabilities of neural networks on unbounded domains. 56-67 - Keita Mori, Naohiro Yamauchi, Haoyu Wang, Ken Sato, Yu Toyoshima, Yuichi Iino:
Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior. 107-120 - Yunfei Yang, Zhen Li, Yang Wang:
On the capacity of deep generative networks for approximating distributions. 144-154 - Huihui Zhang, Lulu Li, Xiaodi Li:
Exponential synchronization of coupled neural networks under stochastic deception attacks. 189-198 - Jinlan Liu, Jun Kong, Dongpo Xu, Miao Qi, Yinghua Lu:
Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization. 300-307 - K. Udhayakumar, Fathalla A. Rihan, R. Rakkiyappan, Jinde Cao:
Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays. 319-330 - Yuan Shen, Xinzhi Liu:
Event-based master-slave synchronization of complex-valued neural networks via pinning impulsive control. 374-385
- Chaozheng Wang, Zhenhao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu:
Enriching query semantics for code search with reinforcement learning. 22-32 - Man-Fai Leung, Jun Wang:
Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization. 68-79 - Wenjie Xuan, Shaoli Huang, Juhua Liu, Bo Du:
FCL-Net: Towards accurate edge detection via Fine-scale Corrective Learning. 248-259 - Jinyang Jiao, Jing Lin, Ming Zhao, Kaixuan Liang, Chuancang Ding:
Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis. 331-341 - Robert Jarusek, Eva Volná, Martin Kotyrba:
FOREX rate prediction improved by Elliott waves patterns based on neural networks. 342-355
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