Search Results for author:
Found 6 papers, 2 papers with code
Specification-Guided Data Aggregation for Semantically Aware Imitation Learning
Advancements in simulation and formal methods-guided environment sampling have enabled the rigorous evaluation of machine learning models in a number of safety-critical scenarios, such as autonomous driving.
The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video
The ability to reliably estimate physiological signals from video is a powerful tool in low-cost, pre-clinical health monitoring.
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Computer vision tasks such as object detection and semantic/instance segmentation rely on the painstaking annotation of large training datasets.
When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations
Predicting when to intervene is challenging because there is not a single measure that is relevant for every person: different individuals may have different levels of symptom severity considered typical.
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)
We also show how, in most cases, ADDoG and MADDoG can be used to improve upon baseline state-of-the-art methods when target dataset labels are added and in-the-wild data are considered.
Progressive Neural Networks for Transfer Learning in Emotion Recognition
Many paralinguistic tasks are closely related and thus representations learned in one domain can be leveraged for another.
