Neuron coverage-guided domain generalization
This paper focuses on the domain generalization task where domain knowledge is unavailable, and even worse, only samples from a single domain can be utilized during training. Our motivation originates from the recent progresses in deep neural network (DNN) testing, which has shown that maximizing ne...
Saved in:
Main Authors: | TIAN, Chris Xing, LI, Haoliang, XIE, Xiaofei, LIU, Yang, WANG, Shiqi |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2022
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/7491 https://ink.library.smu.edu.sg/context/sis_research/article/8494/viewcontent/2103.00229.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Neuron coverage-guided domain generalization
by: Tian, Chris Xing, et al.
Published: (2022) -
Deep learning for coverage-guided fuzzing: How far are we?
by: LI, Siqi, et al.
Published: (2022) -
Complete multi-robot coverage of unknown environments with minimum repeated coverage
by: Ge, S.S., et al.
Published: (2014) -
Domain wall-based artificial neurons for neuromorphic computing
by: Mah, William Wai Lum
Published: (2024) -
Information coverage for wireless sensor networks
by: Wang, B., et al.
Published: (2014)