3 papers
cs.CL2022
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization
Yihan Li, Jinsheng Ren, Tianrun Xu +3
Recently, incorporating natural language instructions into reinforcement learning (RL) to learn semantically meaningful representations and foster generalization has caught many co…
stat.ML2020
Teacher-Student Domain Adaptation for Biosensor Models
Lawrence G. Phillips, David B. Grimes, Yihan Jessie Li
We present an approach to domain adaptation, addressing the case where data from the source domain is abundant, labelled data from the target domain is limited or non-existent, and…
stat.ML2018
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using Wearables
Igor Gotlibovych, Stuart Crawford, Dileep Goyal +6
We present a convolutional-recurrent neural network architecture with long short-term memory for real-time processing and classification of digital sensor data. The network implici…