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DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing

DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing

Taesik Gong
Yewon Kim
Adiba Orzikulova
Yunxin Liu
Sung Ju Hwang
Jinwoo Shin
Sung-Ju Lee
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Papers citing "DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing"

3 / 3 papers shown
Title
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training
L. Meegahapola
Hamza Hassoune
D. Gática-Pérez
40
9
0
26 Apr 2024
Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning
Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning
Brian Testa
Yi Xiao
Harshit Sharma
Avery Gump
Asif Salekin
AAML
40
7
0
17 Nov 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015