Search Results for author: Joe Davison

Found 7 papers, 5 papers with code

Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data

no code implementations6 Jul 2022 Gennady Voronov, Rose Lightheart, Joe Davison, Christoph A. Krettler, David Healey, Thomas Butler

Small molecules in biological samples are studied to provide information about disease states, environmental toxins, natural product drug discovery, and many other applications.

Dimensionality Reduction Drug Discovery +1

Isolating Latent Structure with Cross-population Variational Autoencoders

no code implementations25 Sep 2019 Joe Davison, Kristen A. Severson, Soumya Ghosh

A significant body of recent work has examined variational autoencoders as a powerful approach for tasks which involve modeling the distribution of complex data such as images and text.

Continual Learning Image Denoising

Commonsense Knowledge Mining from Pretrained Models

1 code implementation IJCNLP 2019 Joshua Feldman, Joe Davison, Alexander M. Rush

Inferring commonsense knowledge is a key challenge in natural language processing, but due to the sparsity of training data, previous work has shown that supervised methods for commonsense knowledge mining underperform when evaluated on novel data.

Language Modelling Test

Flexible and Scalable Deep Learning with MMLSpark

1 code implementation11 Apr 2018 Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, ChangYoung Park

In this work we detail a novel open source library, called MMLSpark, that combines the flexible deep learning library Cognitive Toolkit, with the distributed computing framework Apache Spark.

Distributed Computing

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