19 citations · 43 across the 9 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
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.CV2021★ 19 cited
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation
Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe +1
Deep Neural Networks (DNNs) are widely used for decision making in a myriad of critical applications, ranging from medical to societal and even judicial. Given the importance of th…