Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Home
Profiles
Research units
Facilities
Projects
Research output
Press/Media
Search by expertise, name or affiliation
Fully Dynamic Inference With Deep Neural Networks
Wenhan Xia
, Hongxu Yin
, Xiaoliang Dai
,
Niraj K. Jha
Electrical and Computer Engineering
Princeton Language and Intelligence (PLI)
NextG
Research output
:
Contribution to journal
›
Article
›
peer-review
26
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Fully Dynamic Inference With Deep Neural Networks'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Deep Neural Network
100%
Floating-Point Operation
66%
Inference Method
33%
Time-Sensitive
33%
Design Framework
33%
Computational Cost
33%
Memory Bandwidth
33%
Computational Efficiency
33%
Classification Accuracy
33%
Computational Task
33%
Deep Convolutional Neural Networks
33%
Convolutional Filter
33%
Keyphrases
Multilevel Abstraction
50%