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Keyphrases
Affective Computing
33%
Averaging Method
66%
Biosignals
33%
Classification Datasets
33%
Computational Complexity
33%
Deep Ensemble
33%
Deep Learning Model
100%
Distillation
33%
Distillation Method
33%
Distillation Process
33%
Distillation Time
33%
Distilling
66%
Dropout
33%
Early Stopping
33%
Ensemble Learning
66%
Ensemble Weight
33%
Image Classification
33%
Knowledge Distillation
100%
Latency-sensitive Applications
33%
Model Averaging
33%
Model Size
33%
Multiple Teachers
33%
Overparametrization
33%
Performance Improvement
33%
Resource-constrained
33%
Self-distillation
100%
State-of-the-art Techniques
33%
Stochasticity
33%
Student Model
33%
Student Performance
33%
Student Representation
33%
Task-relevant Representations
33%
Teacher Model
33%
Teacher Representation
100%
Testing Rates
33%
Training Strategy
33%
Training Time
33%
UCR Archive
33%
Wearable Devices
33%
Weighted Averaging
66%
Computer Science
Affective Computing
33%
Computational Complexity
33%
Deep Learning Model
100%
Ensemble Learning
66%
Human Activity Recognition
33%
Image Classification
33%
Knowledge Distillation
100%
Self-Distillation
100%
Sensitive Application
33%
Student Model
33%
Wearable Device
33%
Social Sciences
Deep Learning Method
100%
Image Classification
33%
Knowledge Distillation
100%
Stochastics
100%
Student Performance
33%
Students' Representation
33%
Chemical Engineering
Deep Learning Method
100%