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Found 4 papers, 2 papers with code
Season combinatorial intervention predictions with Salt & Peper
Interventions play a pivotal role in the study of complex biological systems.
PyRelationAL: a python library for active learning research and development
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.
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
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.
Ranked #4 on
Unsupervised MNIST
on MNIST
Bayesian Relational Generative Model for Scalable Multi-modal Learning
First, they are not stochastic processes, leading to poor uncertainty estimations over their predictions.
