Talip Ucar — accepted AI-conference papers

2024

Improving Antibody Humanness Prediction using Patent Data

Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni

ICML 2024poster

We investigate the potential of patent data for improving the antibody humanness prediction using a multi-stage, multi-loss training process. Humanness serves as a proxy for the immunogenic response to antibody therapeutics, one of the major causes of attrition in drug discovery and a challenging ob…

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2021

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

Talip Ucar, Ehsan Hajiramezanali, Lindsay Edwards

NeurIPS 2021poster

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. The success is mainly enabled by taking advantage of spatial, temporal, or semantic structure in the data through au…

Cited by 167 Source ↗PDF ↗Scholar ↗