Connectionists: NEURAL NETWORKS, June 2021

[Wang, Deliang]

Neural Networks - Volume 138,  June 2021
https://www.journals.elsevier.com/neural-networks


A survey on modern trainable activation functions
Andrea Apicella, Francesco Donnarumma, Francesco Isgro, Roberto Prevete

General stochastic separation theorems with optimal bounds
Bogdan Grechuk, Alexander N. Gorban, Ivan Y. Tyukin

SAM-GAN: Self-Attention supporting Multi-stage Generative Adversarial Networks for text-to-image synthesis
Dunlu Peng, Wuchen Yang, Cong Liu, Shuairui Lu

Towards effective deep transfer via attentive feature alignment
Zheng Xie, Zhiquan Wen, Yaowei Wang, Qingyao Wu, Mingkui Tan

A new recursive least squares-based learning algorithm for spiking neurons
Yun Zhang, Hong Qu, Xiaoling Luo, Yi Chen, ... Zefang Li

Fading memory echo state networks are universal
Lukas Gonon, Juan-Pablo Ortega

Paradoxical sensory reactivity induced by functional disconnection in a robot model of neurodevelopmental disorder
Hayato Idei, Shingo Murata, Yuichi Yamashita, Tetsuya Ogata

Explanation of emotion regulation mechanism of mindfulness using a brain function model
Haruka Nakamura, Yoshimasa Tawatsuji, Siyuan Fang, Tatsunori Matsui

Unsupervised cross-domain named entity recognition using entity-aware adversarial training
Qi Peng, Changmeng Zheng, Yi Cai, Tao Wang, ... Qing Li

Self-augmentation: Generalizing deep networks to unseen classes for few-shot learning
Jin-Woo Seo, Hong-Gyu Jung, Seong-Whan Lee

A proximal neurodynamic model for solving inverse mixed variational inequalities
Xingxing Ju, Chuandong Li, Xing He, Gang Feng

Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback
Luis Garcia, Giovanny Sanchez, Eduardo Vazquez, Gerardo Avalos, ... Hector Perez

Fast convergence rates of deep neural networks for classification
Yongdai Kim, Ilsang Ohn, Dongha Kim

Compositional memory in attractor neural networks with one-step learning
Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia

Recurrent neural network with noise rejection for cyclic motion generation of robotic manipulators
Mei Liu, Li He, Bin Hu, Shuai Li

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