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Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Deng, Lei;  Wu, Yujie;  Hu, Yifan;  Liang, Ling;  Li, Guoqi;  Hu, Xing;  Ding, Yufei;  Li, Peng;  Xie, Yuan
收藏  |  浏览/下载:26/0  |  提交时间:2022/06/21
Neurons  Computational modeling  Quantization (signal)  Optimization  Encoding  Task analysis  Synapses  Activity regularization  alternating direction method of multiplier (ADMM)  connection pruning  spiking neural network (SNN) compression  weight quantization  
IAUnet: Global Context-Aware Feature Learning for Person Reidentification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4460-4474
作者:  Hou, Ruibing;  Ma, Bingpeng;  Chang, Hong;  Gu, Xinqian;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载:35/0  |  提交时间:2021/12/01
Context modeling  Feature extraction  Computational modeling  Semantics  Aggregates  Visualization  Task analysis  Feature enhancing  interaction-aggregation  person reidentification (reID)  spatial-temporal context modeling  
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Liang, Ling;  Hu, Xing;  Deng, Lei;  Wu, Yujie;  Li, Guoqi;  Ding, Yufei;  Li, Peng;  Xie, Yuan
收藏  |  浏览/下载:26/0  |  提交时间:2022/06/21
Spatiotemporal phenomena  Computational modeling  Perturbation methods  Biological neural networks  Backpropagation  Unsupervised learning  Training  Adversarial attack  backpropagation through time (BPTT)  neuromorphic computing  spike-compatible gradient  spiking neural networks (SNNs)  
Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 8, 页码: 3458-3470
作者:  Lai, Nan;  Kan, Meina;  Han, Chunrui;  Song, Xingguang;  Shan, Shiguang
收藏  |  浏览/下载:35/0  |  提交时间:2021/12/01
Task analysis  Adaptation models  Training  Predictive models  Feature extraction  Generators  Computational modeling  Few-shot learning  meta-learning  predict classifier weights  task-adaptive predictor  
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 737-748
作者:  Han, Jiayu;  Zheng, Lei;  Xu, Yuanbo;  Zhang, Bangzuo;  Zhuang, Fuzhen;  Yu, Philip S.;  Zuo, Wanli
收藏  |  浏览/下载:66/0  |  提交时间:2020/12/10
Adaptation models  Recommender systems  Feature extraction  Computational modeling  Predictive models  Task analysis  Adaptive systems  Adaptive user preference model  attention factor  convolutional neural network (CNN)  recommendation system