70 citations · 75 across the 3 of their papers we have counts for
3 papers
cs.LG2021
AASAE: Augmentation-Augmented Stochastic Autoencoders
William Falcon, Ananya Harsh Jha, Teddy Koker +1
Recent methods for self-supervised learning can be grouped into two paradigms: contrastive and non-contrastive approaches. Their success can largely be attributed to data augmentat…
cs.CV2020★ 70 cited
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
William Falcon, Kyunghyun Cho
Contrastive self-supervised learning (CSL) is an approach to learn useful representations by solving a pretext task that selects and compares anchor, negative and positive (APN) fe…
cs.CY2017★ 5 cited
Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
William Falcon, Henning Schulzrinne
In cities with tall buildings, emergency responders need an accurate floor level location to find 911 callers quickly. We introduce a system to estimate a victim's floor level via…