Search Results for author: Teddy Koker

Found 2 papers, 2 papers with code

AAVAE: Augmentation-Augmented Variational Autoencoders

1 code implementation26 Jul 2021 William Falcon, Ananya Harsh Jha, Teddy Koker, Kyunghyun Cho

We empirically evaluate the proposed AAVAE on image classification, similar to how recent contrastive and non-contrastive learning algorithms have been evaluated.

Contrastive Learning Data Augmentation +2

U-Noise: Learnable Noise Masks for Interpretable Image Segmentation

1 code implementation14 Jan 2021 Teddy Koker, FatemehSadat Mireshghallah, Tom Titcombe, Georgios Kaissis

Deep Neural Networks (DNNs) are widely used for decision making in a myriad of critical applications, ranging from medical to societal and even judicial.

Decision Making Semantic Segmentation

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