A Self-Attention Mask Learning-Based Recommendation System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202637
Abstract: The primary purpose of sequence modeling is to record long-term interdependence across interaction sequences, and since the number of items purchased by users gradually increases over time, this brings challenges to sequence modeling to a… read more here.
Keywords: long term; self attention; recommendation; sequence ... See more keywords
Sequence Modeling of Passive Sensing Data for Treatment Response Prediction in Major Depressive Disorder
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3260301
Abstract: Major depressive disorder (MDD) is a prevalent mental health condition and has become a pressing societal challenge. Early prediction of treatment response may aid in the rehabilitation engineering of depression, which is of great practical… read more here.
Keywords: passive sensing; prediction; sequence modeling; treatment ... See more keywords
Continual Sequence Modeling With Predictive Coding
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.845955
Abstract: Recurrent neural networks (RNNs) have been proved very successful at modeling sequential data such as language or motions. However, these successes rely on the use of the backpropagation through time (BPTT) algorithm, batch training, and… read more here.
Keywords: continual sequence; training; sequence modeling; predictive coding ... See more keywords