565 citations · 1.2k across the 20 of their papers we have counts for
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cs.LG2019★ 121 cited
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Abubakar Abid, Ali Abdalla, Ali Abid +3
Accessibility is a major challenge of machine learning (ML). Typical ML models are built by specialists and require specialized hardware/software as well as ML experience to valida…
cs.LG2019★ 44 cited
Contrastive Variational Autoencoder Enhances Salient Features
Abubakar Abid, James Zou
Variational autoencoders are powerful algorithms for identifying dominant latent structure in a single dataset. In many applications, however, we are interested in modeling latent…
cs.LG2019★ 76 cited
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction
Abubakar Abid, Muhammad Fatih Balin, James Zou
We introduce the concrete autoencoder, an end-to-end differentiable method for global feature selection, which efficiently identifies a subset of the most informative features and…