Keyphrases
Action Space
16%
Agent Deployment
16%
Confidence Estimator
14%
Continuous Inference
20%
Cost Reduction
16%
Deep Reinforcement Learning (deep RL)
100%
Deep Reinforcement Learning Model
16%
Direct Translation
14%
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%
Energy Reduction
16%
Environmental Change
33%
Execution Energy
16%
Experiment Results
16%
Feature Detection
33%
Feature Extraction
100%
Functional Correctness
14%
High Density
33%
Hybrid Algorithm
16%
Inference Accuracy
20%
Invocation
100%
Keypoint Detection
33%
Keypoint Selection
33%
Learning-based
16%
Local Density
100%
Logic Synthesis
14%
Low Computational Complexity
33%
Miniaturization
16%
Multi-task Scheduling
16%
Overall Energy
16%
Overall System
16%
Performance Improvement
33%
Platform Design
16%
Popular
33%
Pruning
16%
Reinforcement Learning Agent
50%
Resource Consumption
16%
RTL Description
14%
Scaling Approach
16%
Self-driving
33%
System Energy Consumption
16%
Temporal Perspective
16%
Vision Application
33%
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%
Computer Science
Configuration Space
20%
Constraint Condition
20%
Deep Reinforcement Learning
100%
Dynamic Voltage
100%
Embedded Computing
14%
Embedded Systems
100%
Energy Consumption
42%
Feedback Loop
14%
Functional Language
14%
High Level Synthesis
14%
High-Level Language
14%
Hybrid Algorithm
14%
Learning Agent
42%
Logic Synthesis
14%
Resource Consumption
14%
Systems and Application
20%
task-scheduling
14%
