Search Results for author: Lindsay Edwards

Found 4 papers, 2 papers with code

PyRelationAL: a python library for active learning research and development

1 code implementation23 May 2022 Paul Scherer, Thomas Gaudelet, Alison Pouplin, Alice Del Vecchio, Suraj M S, Oliver Bolton, Jyothish Soman, Jake P. Taylor-King, Lindsay Edwards

Active learning (AL) is a sub-field of ML focused on the development of methods to iteratively and economically acquire data through strategically querying new data points that are the most useful for a particular task.

Active Learning

SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning

2 code implementations NeurIPS 2021 Talip Ucar, Ehsan Hajiramezanali, Lindsay Edwards

Self-supervised learning has been shown to be very effective in learning useful representations, and yet much of the success is achieved in data types such as images, audio, and text.

Collaborative Inference Contrastive Learning +2

Bayesian Relational Generative Model for Scalable Multi-modal Learning

no code implementations29 Sep 2021 Ehsan Hajiramezanali, Talip Ucar, Lindsay Edwards

First, they are not stochastic processes, leading to poor uncertainty estimations over their predictions.

Gaussian Processes

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