82 citations · 198 across the 13 of their papers we have counts for
4 papers · 1 filter
Active Learning of Non-semantic Speech Tasks with Pretrained Models
Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi
Pretraining neural networks with massive unlabeled datasets has become popular as it equips the deep models with a better prior to solve downstream tasks. However, this approach ge…
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
Mario Krenn, Lorenzo Buffoni, Bruno Coutinho +13
A tool that could suggest new personalized research directions and ideas by taking insights from the scientific literature could significantly accelerate the progress of science. A…
Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG
Harlin Lee, Aaqib Saeed
Sleep is particularly important to the health of infants, children, and adolescents, and sleep scoring is the first step to accurate diagnosis and treatment of potentially life-thr…
Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices
Harlin Lee, Aaqib Saeed
This work introduces BRILLsson, a novel binary neural network-based representation learning model for a broad range of non-semantic speech tasks. We train the model with knowledge…