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Non-uniform DNN structured subnets sampling for dynamic inference
Li Yang
, Zhezhi He
,
Yu Cao
, Deliang Fan
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
10
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Scopus citations
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Dive into the research topics of 'Non-uniform DNN structured subnets sampling for dynamic inference'. Together they form a unique fingerprint.
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Keyphrases
Adaptive Structures
33%
Batch Size
33%
Channel Selection
33%
CIFAR-10 Dataset
33%
Computing Accuracy
33%
Computing Load
33%
Deep Neural Network
100%
Deep Neural Network Structure
33%
Dynamic Deep Neural Networks
33%
Dynamic Description
33%
Dynamic Inference
100%
Dynamic Requirements
33%
Dynamic Workload
33%
GPU
33%
Hardware Accelerator
33%
Hardware Resources
33%
ImageNet
33%
ImageNet Dataset
33%
Latency
33%
Low-rank Approximation
33%
Model Compression
33%
Network Sampling
33%
Non-uniform Channel
33%
Power Budget
33%
Power-limited System
33%
ResNet
33%
ResNet18
33%
Resource Allocation
33%
Resource-constrained Systems
33%
Sampling Methods
33%
Time Dynamics
33%
Time-adaptive
33%
Via Model
33%
Computer Science
Compression Technique
20%
Deep Neural Network
100%
Dynamic Workload
20%
Graphics Processing Unit
20%
Hardware Accelerator
20%
Hardware Resource
20%
Model Compression
20%
Neural Network Architecture
20%
Rank Approximation
20%
Resource Allocation
20%
Subnet
100%
Subnetwork
20%