research
∙
10/12/2022
Can Calibration Improve Sample Prioritization?
Calibration can reduce overconfident predictions of deep neural networks...
share
research
∙
06/18/2021
Zero-Shot Federated Learning with New Classes for Audio Classification
Federated learning is an effective way of extracting insights from diffe...
research
∙
12/04/2020
Bayesian Active Learning for Wearable Stress and Affect Detection
In the recent past, psychological stress has been increasingly observed ...
research
∙
12/04/2020
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring
Various health-care applications such as assisted living, fall detection...
research
∙
11/06/2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models
Various IoT applications demand resource-constrained machine learning me...
research
∙
05/31/2019
