Computer Science
Adversarial Example
24%
Adversarial Machine Learning
40%
Attention (Machine Learning)
20%
Computer Hardware
24%
Constrained Device
36%
Contrastive Learning
40%
Contrastive Loss
20%
Critical Component
20%
Data Augmentation
66%
Data Distribution
30%
Data Source
20%
Deep Learning Model
40%
Deep Neural Network
70%
Deep Understanding
20%
Deployment Model
30%
Embedded Hardware
22%
Environmental Data
20%
False Negative
20%
Generative Pre-Trained Transformer 4
40%
Histological Image
40%
Internet-Of-Things
50%
Invertible Transformation
30%
Labeled Instance
26%
Learning System
76%
Linear Interpolation
40%
Local Distribution
20%
Machine Learning
76%
Mechanism Design
20%
Microscopic Image
60%
Model Architecture
40%
Model Compression
33%
Nash Equilibrium
20%
Neural Network
40%
Normalization Layer
40%
Optimal Network
20%
Performance Model
20%
Recorded Image
20%
ResNet50
20%
Resource Constraint
22%
Sensor Placement
20%
Shape Information
20%
Sparsity
28%
Specialized Training
30%
Storage Resource
20%
Subnetwork
53%
Testbed
40%
Traditional Cross
20%
training algorithm
20%
Transaction Layer
20%
Transformation Parameter
20%
Engineering
Accuracy Improvement
20%
Adaptation Models
20%
Air Quality
20%
Chemical Sensor
6%
Compression Ratio
20%
Computervision
23%
Deep Learning Method
40%
Deep Neural Network
20%
Demand Side Response
13%
Detection Device
10%
Domain Knowledge
20%
Earphone
20%
Embedded Sensor
6%
Energy Harvesting
6%
Failure Event
20%
Field Data
20%
Gas Sensor
20%
Geometric Feature
20%
Health Issue
10%
Image Analysis
10%
Indoor Air
13%
Input Data
6%
Internet-Of-Things
33%
Layer Depth
10%
Learning System
100%
Machine Learning Method
6%
Main Branch
20%
Mean Absolute Error
6%
Medical Image
10%
Mobile App
10%
Mobile Phone
6%
Model Prediction
6%
Offline Training
20%
Pressure Signal
20%
Quality Level
6%
Readability Score
10%
Reducing Power
10%
Reliability Availability and Maintainability (Reliability Engineering)
20%
Robustness Test
10%
Sensor Measurement
6%
Sensor Reading
6%
Test Data
20%
Test Dataset
20%
Text-Based Method
10%
Texture Information
40%
Transient Analysis
6%
Transients
6%