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ORCIDNeural Networks, Volume 160
Volume 160, March 2023
- Young Jae Lee
, Jaehoon Kim, Mingu Kwak, Young Joon Park, Seoung Bum Kim:
STACoRe: Spatio-temporal and action-based contrastive representations for reinforcement learning in Atari. 1-11 - Abdourrahmane Mahamane Atto, Sylvie Galichet, Dominique Pastor, Nicolas Méger:
On joint parameterizations of linear and nonlinear functionals in neural networks. 12-21 - Honghu Pan, Yongyong Chen, Zhenyu He:
Multi-granularity graph pooling for video-based person re-identification. 22-33 - Raghu Yelugam, Leonardo Enzo Brito da Silva, Donald C. Wunsch II:
Topological biclustering ARTMAP for identifying within bicluster relationships. 34-49
- Yang Wang, Wanlin Zhou, Jiakai Zhou:
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset. 50-62
- Ye Liu, Junjun Pan, Michael K. P. Ng:
Tucker network: Expressive power and comparison. 63-83
- Zhiwei Jiang, Jiaming Xu, Tielin Zhang, Mu-Ming Poo, Bo Xu:
Origin of the efficiency of spike timing-based neural computation for processing temporal information. 84-96
- Xianghui Zhou, Jinde Cao, Xin Wang:
Predefined-time synchronization of coupled neural networks with switching parameters and disturbed by Brownian motion. 97-107 - Tao Peng, Yanqiu Wu, Zhengwen Tu, A. S. Alofi, Jianquan Lu:
Fixed-time and prescribed-time synchronization of quaternion-valued neural networks: A control strategy involving Lyapunov functions. 108-121
- Amin Jalali, Minho Lee:
Adversarial Lagrangian integrated contrastive embedding for limited size datasets. 122-131
- Zhongwen Wu, Xiaobing Nie, Boqiang Cao:
Coexistence and local stability of multiple equilibrium points for fractional-order state-dependent switched competitive neural networks with time-varying delays. 132-147 - Kaito Watanabe, Kotaro Sakamoto, Ryo Karakida, Sho Sonoda, Shun-ichi Amari:
Deep learning in random neural fields: Numerical experiments via neural tangent kernel. 148-163
- Kangli Zeng, Zhongyuan Wang, Tao Lu, Jianyu Chen, Jiaming Wang, Zixiang Xiong:
Self-attention learning network for face super-resolution. 164-174
- Yiming Fei, Dongyu Li, Yanan Li, Jiangang Li:
Deterministic learning-based neural network control with adaptive phase compensation. 175-191
- Pengpeng Shao, Tong Liu, Feihu Che, Dawei Zhang, Jianhua Tao:
Adaptive pseudo-Siamese policy network for temporal knowledge prediction. 192-201 - Shuai Dong, Zhen Fan, Yihong Chen, Kaihui Chen, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu:
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation. 202-215
- Jianpeng Ke, Lina Wang:
DF-UDetector: An effective method towards robust deepfake detection via feature restoration. 216-226
- Ting Cai, Pei Cheng, Fengqi Yao, Mingang Hua:
Robust exponential stability of discrete-time uncertain impulsive stochastic neural networks with delayed impulses. 227-237
- Sarmad Maqsood, Robertas Damasevicius:
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare. 238-258
- Jingxin Liu, Xiaofeng Liao, Jin-song Dong, Amin Mansoori:
A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization. 259-273
- Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A domain-agnostic approach for characterization of lifelong learning systems. 274-296
- Vikrant Gupta, Larry K. B. Li, Shiyi Chen, Minping Wan:
Model-free forecasting of partially observable spatiotemporally chaotic systems. 297-305
- Martin Mundt, Yongwon Hong, Iuliia Pliushch, Visvanathan Ramesh:
A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning. 306-336
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