6 citations · 25 across the 9 of their papers we have counts for
3 papers · 1 filter
Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies
Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi +1
Multi-Task Learning (MTL) is a growing subject of interest in deep learning, due to its ability to train models more efficiently on multiple tasks compared to using a group of conv…
An Exploration of Active Learning for Affective Digital Phenotyping
Peter Washington, Cezmi Mutlu, Aaron Kline +9
Some of the most severe bottlenecks preventing widespread development of machine learning models for human behavior include a dearth of labeled training data and difficulty of acqu…
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices
Agnik Banerjee, Peter Washington, Cezmi Mutlu +2
Implementing automated emotion recognition on mobile devices could provide an accessible diagnostic and therapeutic tool for those who struggle to recognize emotion, including chil…