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发表日期:2021
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Triplet Siamese Network Model for Lithium-ion Battery Defects Classification Using Few-shot Learning Approach
期刊论文
Journal of Physics: Conference Series, 2021, 卷号: 2078, 期号: 1
作者:
Wu,Ke
;
Tan,Jie
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浏览/下载:25/0
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提交时间:2021/12/28
A concise review of recent few-shot meta-learning methods
期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 463-468
作者:
Li, Xiaoxu
;
Sun, Zhuo
;
Xue, Jing-Hao
;
Ma, Zhanyu
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  |  
浏览/下载:2/0
  |  
提交时间:2021/10/14
Meta Learning
Few-shot Learning
Image Classification
Deep Neural Networks
Small-sample Learning
An fMRI investigation of the intention-outcome interactions in second- and third-party punishment
期刊论文
BRAIN IMAGING AND BEHAVIOR, 2021, 页码: 13
作者:
Feng, Chunliang
;
Yang, Qun
;
Azem, Lydia
;
Atanasova, Konstantina M.
;
Gu, Ruolei
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  |  
浏览/下载:86/0
  |  
提交时间:2021/10/29
Second-party punishment
Third-party punishment
Intention
fMRI
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2905-2920
作者:
Zhang, Xinbang
;
Chang, Jianlong
;
Guo, Yiwen
;
Meng, Gaofeng
;
Xiang, Shiming
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  |  
浏览/下载:37/0
  |  
提交时间:2021/11/02
Computer architecture
Search problems
Optimization
Task analysis
Bridges
Binary codes
Estimation
Neural architecture search(NAS)
ensemble gumbel-softmax
distribution guided sampling
FewHshot image classification method based on sliding feature vectors
期刊论文
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2021, 卷号: 51, 期号: 5, 页码: 1785-1791
作者:
Cao, Jie
;
Qu, Xue
;
Li, Xiao-Xu
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  |  
浏览/下载:15/0
  |  
提交时间:2022/02/17
Query processing
Vector spaces
Class distributions
Classification methods
Computer applications technologies
Feature space
Features vector
Few-shot learning
Images classification
Local feature
Metric learning
Misclassifications
Unsupervised meta-learning for few-shot learning
期刊论文
PATTERN RECOGNITION, 2021, 卷号: 116, 页码: 10
作者:
Xu, Hui
;
Wang, Jiaxing
;
Li, Hao
;
Ouyang, Deqiang
;
Shao, Jie
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  |  
浏览/下载:42/0
  |  
提交时间:2021/08/15
Unsupervised learning
Meta-learning
Few-shot learning
Scientific and Technological Resource Sharing Model Based on Few-Shot Relational Learning
期刊论文
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2021, 卷号: E104D, 期号: 8, 页码: 1302
作者:
Liu, Yangshengyan
;
Gu, Fu
;
Ji, Yangjian
;
Wu, Yijie
;
Guo, Jianfeng
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  |  
浏览/下载:10/0
  |  
提交时间:2022/02/10
Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning (vol 32, pg 3458, 2021)
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 8, 页码: 3784-3784
作者:
Lai, Nan
;
Kan, Meina
;
Han, Chunrui
;
Song, Xingguang
;
Shan, Shiguang
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  |  
浏览/下载:10/0
  |  
提交时间:2021/12/01
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:15/0
  |  
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
Contextual similarity-based multi-level second-order attention network for semi-supervised few-shot learning
期刊论文
Neurocomputing, 2021
作者:
Li, Wenjing
;
Ren, Tingting
;
Li, Fang
;
Zhang, Jun
;
Wu, Zhongcheng
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  |  
浏览/下载:2/0
  |  
提交时间:2022/12/26
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