Connectionists: NEURAL NETWORKS, Dec. 2021

[Wang, Deliang]

Neural Networks - Volume 144, December 2021
https://www.journals.elsevier.com/neural-networks


Adversarial text-to-image synthesis: A review
Stanislav Frolov, Tobias Hinz, Federico Raue, Joern Hees, Andreas Dengel

Biologically motivated learning method for deep neural networks using hierarchical competitive learning
Takashi Shinozaki

The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain
Hiroshi Yamakawa

Impact of axonal delay on structure development in a multi-layered network
Catherine E. Davey, David B. Grayden, Anthony N. Burkitt

Active inference through whiskers
Francesco Mannella, Federico Maggiore, Manuel Baltieri, Giovanni Pezzulo

An end-to-end 3D convolutional neural network for decoding attentive mental state
Yangsong Zhang, Huan Cai, Li Nie, Peng Xu, ... Cuntai Guan

Predictive coding feedback results in perceived illusory contours in a recurrent neural network
Zhaoyang Pang, Callum Biggs O'May, Bhavin Choksi, Rufin VanRullen

Performance of biologically grounded models of the early visual system on standard object recognition tasks
Michael Teichmann, Rene Larisch, Fred H. Hamker

Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control
Tom Macpherson, Masayuki Matsumoto, Hiroaki Gomi, Jun Morimoto, ... Takatoshi Hikida

Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
Tom Macpherson, Anne Churchland, Terry Sejnowski, James DiCarlo, ... Takatoshi Hikida

Weak sub-network pruning for strong and efficient neural networks
Qingbei Guo, Xiao-Jun Wu, Josef Kittler, Zhiquan Feng

Extreme neural machines
Megan Boucher-Routhier, Bill Ling Feng Zhang, Jean-Philippe Thivierge

P-DIFF+: Improving learning classifier with noisy labels by Noisy Negative Learning loss
QiHao Zhao, Wei Hu, Yangyu Huang, Fan Zhang

Learning lightweight super-resolution networks with weight pruning
Xinrui Jiang, Nannan Wang, Jingwei Xin, Xiaobo Xia, ... Xinbo Gao

Distributed associative memory network with memory refreshing loss
Taewon Park, Inchul Choi, Minho Lee

Schematic memory persistence and transience for efficient and robust continual learning
Yuyang Gao, Giorgio A. Ascoli, Liang Zhao

Observer-based event-triggered control for zero-sum games of input constrained multi-player nonlinear systems
Shunchao Zhang, Bo Zhao, Derong Liu, Yongwei Zhang

Extremely randomized neural networks for constructing prediction intervals
Tullio Mancini, Hector Calvo-Pardo, Jose Olmo

Forward and inverse reinforcement learning sharing network weights and hyperparameters
Eiji Uchibe, Kenji Doya

Adversarial parameter defense by multi-step risk minimization
Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, ... Xu Sun

Neural-network-based discounted optimal control via an integrated value iteration with accuracy guarantee
Mingming Ha, Ding Wang, Derong Liu

An empirical evaluation of active inference in multi-armed bandits
Dimitrije Markovic, Hrvoje Stojic, Sarah Schwoebel, Stefan J. Kiebel

Incremental multi-view spectral clustering with sparse and connected graph learning
Hongwei Yin, Wenjun Hu, Zhao Zhang, Jungang Lou, Minmin Miao

Recurrent neural network from adder's perspective: Carry-lookahead RNN
Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao

Nonlinear tensor train format for deep neural network compression
Dingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, ... Guoqi Li

Neural network surgery: Combining training with topology optimization
Elisabeth J. Schiessler, Roland C. Aydin, Kevin Linka, Christian J. Cyron

Uncertainty propagation for dropout-based Bayesian neural networks
Yuki Mae, Wataru Kumagai, Takafumi Kanamori

Structured Ensembles: An approach to reduce the memory footprint of ensemble methods
Jary Pomponi, Simone Scardapane, Aurelio Uncini

Broad-UNet: Multi-scale feature learning for nowcasting tasks
Jesus Garcia Fernandez, Siamak Mehrkanoon

Combination of certainty and uncertainty: Using FusionGAN to create abstract paintings
Mao Li, Jiancheng Lv, Chenwei Tang, Jian Wang, ... Youcheng Huang

Combining STDP and binary networks for reinforcement learning from images and sparse rewards
Sergio F. Chevtchenko, Teresa B. Ludermir

Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia
Maryam Doborjeh, Zohreh Doborjeh, Alexander Merkin, Helena Bahrami, ... Nikola Kasabov

A conversational model for eliciting new chatting topics in open-domain conversation
Weizhao Li, Feng Ge, Yi Cai, Da Ren

World model learning and inference
Karl Friston, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, ... Josh Tenenbaum

The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore-Penrose generalized inverse
Meejoung Kim

A language modeling-like approach to sketching
Lisa Graziani, Marco Gori, Stefano Melacci

Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments
Tom Landman, Nir Nissim

Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning
Malte Schilling, Andrew Melnik, Frank W. Ohl, Helge J. Ritter, Barbara Hammer

ARAE: Adversarially robust training of autoencoders improves novelty detection
Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, ... Hamid R. Rabiee

A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer
Hailiang Ye, Yi Wang, Feilong Cao

TACN: A Topical Adversarial Capsule Network for textual network embedding
Xiaorui Qin, Yanghui Rao, Haoran Xie, Jiahai Wang, Fu Lee Wang

Intermittent control for finite-time synchronization of fractional-order complex networks
Lingzhong Zhang, Jie Zhong, Jianquan Lu

TGAN: A simple model update strategy for visual tracking via template-guidance attention network
Kai Yang, Haijun Zhang, Dongliang Zhou, Linlin Liu

Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks
Bo Liu, Zhaoying Liu, Ting Zhang, Tongtong Yuan

A neural decoding algorithm that generates language from visual activity evoked by natural images
Wei Huang, Hongmei Yan, Kaiwen Cheng, Chong Wang, ... Huafu Chen

Bipartite synchronization of signed networks via aperiodically intermittent control based on discrete-time state observations
Dongsheng Xu, Jiahuan Pang, Huan Su

Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations
Libiao Peng, Xifeng Li, Dongjie Bi, Xuan Xie, Yongle Xie

A note on computing with Kolmogorov Superpositions without iterations
Robert Demb, David Sprecher

Highly parallelized memristive binary neural network
Jiadong Chen, Shiping Wen, Kaibo Shi, Yin Yang

Theory of deep convolutional neural networks III: Approximating radial functions
Tong Mao, Zhongjie Shi, Ding-Xuan Zhou

One-stage CNN detector-based benthonic organisms detection with limited training dataset
Tingkai Chen, Ning Wang, Rongfeng Wang, Hong Zhao, Guichen Zhang

Deep Tobit networks: A novel machine learning approach to microeconometrics
Jiaming Zhang, Zhanfeng Li, Xinyuan Song, Hanwen Ning

Working Memory Connections for LSTM
Federico Landi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara

Deep learning based spectral CT imaging
Weiwen Wu, Dianlin Hu, Chuang Niu, Lieza Vanden Broeke, ... Ge Wang

Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems
Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay

Detection of pancreatic cancer by convolutional-neural-network-assisted spontaneous Raman spectroscopy with critical feature visualization
Zhongqiang Li, Zheng Li, Qing Chen, Alexandra Ramos, ... Jian Xu

ACSL: Adaptive correlation-driven sparsity learning for deep neural network compression
Wei He, Meiqing Wu, Siew-Kei Lam

Disturbance-immune weight sharing for neural architecture search
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, ... Mingkui Tan

Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing
Youngeun Kim, Priyadarshini Panda
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20211201/f4e23c08/attachment.html>