Search Results for author: Vadim Ratner

Found 4 papers, 0 papers with code

AdapterNet - learning input transformation for domain adaptation

no code implementations29 May 2018 Alon Hazan, Yoel Shoshan, Daniel Khapun, Roy Aladjem, Vadim Ratner

Deep neural networks have demonstrated impressive performance in various machine learning tasks.

Domain Adaptation

Regularized adversarial examples for model interpretability

no code implementations18 Nov 2018 Yoel Shoshan, Vadim Ratner

In recent years, several methods for model interpretability have been developed, aiming to provide explanation of which subset regions of the model input is the main reason for the model prediction.

A large dataset curation and benchmark for drug target interaction

no code implementations30 Jan 2024 Alex Golts, Vadim Ratner, Yoel Shoshan, Moshe Raboh, Sagi Polaczek, Michal Ozery-Flato, Daniel Shats, Liam Hazan, Sivan Ravid, Efrat Hexter

In this paper we propose a way to standardize and represent efficiently a very large dataset curated from multiple public sources, split the data into train, validation and test sets based on different meaningful strategies, and provide a concrete evaluation protocol to accomplish a benchmark.

Drug Discovery

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