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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Few-shot learning
biblio
FS-IDS: A Novel Few-Shot Learning Based Intrusion Detection System for SCADA Networks
Submitted by grigby1 on Mon, 03/14/2022 - 12:37pm
Human behavior
Training
Supervisory control and data acquisition (SCADA) network
SCADA Systems Security
SCADA systems
resilience
Intrusion Detection System (IDS)
Intrusion Detection
Industrial Control System (ICS)
industrial control
IDS
Few-shot learning
encoding
deep learning
Data models
Cyber Attacks
Compositionality
composability
Resiliency
pubcrawl
biblio
A Survey on Few-Shot Learning in Natural Language Processing
Submitted by grigby1 on Thu, 03/10/2022 - 12:31pm
pubcrawl
Human behavior
resilience
Resiliency
Scalability
natural language processing
Systematics
learning (artificial intelligence)
automation
computer vision
Costs
distant supervision
Few-shot learning
Meta Learning
transfer learning
biblio
Few-Shot Learning of Signal Modulation Recognition Based on Attention Relation Network
Submitted by grigby1 on Tue, 03/01/2022 - 4:24pm
Attention
feature extraction
Few-shot learning
modulation
Network reconnaissance
pubcrawl
Reconnaissance
resilience
Resiliency
Robustness
Scalability
Signal Modulation Recognition
Signal to noise ratio
Training
Transforms
biblio
Few-Shot Transfer Learning for Text Classification With Lightweight Word Embedding Based Models
Submitted by aekwall on Mon, 11/02/2020 - 2:30pm
pooling strategy
Few-shot learning
few-shot transfer learning tasks
lightweight word embedding-based models
modified hierarchical pooling strategy
parameter-free pooling operations
parameter-free property
parameters training
plug-and-play way
deep learning architectures
semantic compositionality
Semantic Networks
semantic text
simple word embedding-based models
supervised data
unseen text sequences
word embedding based models
word processing
text categorization
Data models
feature extraction
Human behavior
pubcrawl
Computational modeling
pattern classification
Training
text analysis
Task Analysis
text classification
transfer learning
deep learning
Human Factors
Compositionality
Computing Theory and Compositionality
supervised learning
data-hungry deep models
