Keyphrases
Action Space
16%
Agent Deployment
16%
Composition Rules
33%
Compositional Reasoning
33%
Continuous Inference
20%
Critical Ability
25%
Dedicated Network
20%
Deep Reinforcement Learning (deep RL)
100%
Deep Reinforcement Learning Model
16%
Dynamic Voltage Frequency Scaling
100%
Early Exit
100%
Early-exit Networks
40%
Embedded AI
100%
Embedded Computing
16%
Embedded Systems
100%
Energy Conservation
16%
Energy Consumption
33%
Energy Overhead
16%
Environmental Change
33%
Execution Energy
16%
Feature Detection
33%
Feature Extraction
100%
Google Speech
20%
High Density
33%
Image Regression
25%
Individual Image
25%
Inference Accuracy
20%
Invocation
100%
Keypoint Detection
33%
Keypoint Selection
33%
Keyword Spotting
100%
Local Density
100%
Low Computational Complexity
33%
MC2R
66%
Miniaturization
16%
Multi-task Scheduling
16%
Number Sense
50%
Overall Energy
16%
Performance Improvement
33%
Platform Design
16%
Popular
33%
Regression Residuals
100%
Reinforcement Learning Agent
50%
Resource Consumption
16%
Self-driving
33%
Speech Commands
20%
Speech Recognition Task
20%
System Energy Consumption
16%
Temporal Perspective
16%
Vision Application
33%
Computer Science
Answer Question
33%
Configuration Space
20%
Constraint Condition
20%
Contrastive Learning
100%
Data Augmentation
33%
de-noising
100%
Deep Neural Network
25%
Deep Reinforcement Learning
100%
Discriminative Power
25%
Dynamic Voltage
100%
Embedded Computing
14%
Embedded Systems
100%
Energy Consumption
42%
Experimental Result
33%
Hybrid Algorithm
14%
Learning Agent
42%
Machine Number
100%
Noisy Environment
25%
Resource Consumption
14%
Speaker Recognition
25%
Speaker Verification
100%
Speech Recognition
25%
Systems and Application
20%
task-scheduling
14%
U-Net
100%
Engineering
Artificial Intelligence
100%
Computational Cost
36%
Configuration Space
20%
Dynamic Frequency Scaling
100%
Embedded Device
20%
Energy Flexibility
20%
Energy Systems
20%
Experimental Result
20%
Feature Extraction
100%
Features Detection
16%
Keypoints
100%
Limitations
20%
Multiobjective Optimization Problem
20%
Optimal Decision
20%
Reinforcement Learning
100%
Voltage Scaling
100%
