Search Results for author: Danny Karmon

Found 5 papers, 2 papers with code

Federated Multilingual Models for Medical Transcript Analysis

no code implementations4 Nov 2022 Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis

Federated Learning (FL) is a novel machine learning approach that allows the model trainer to access more data samples, by training the model across multiple decentralized data sources, while data access constraints are in place.

Federated Learning

Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their Performance

no code implementations27 Oct 2019 Brit Youngmann, Ran Gilad-Bachrach, Danny Karmon, Elad Yom-Tov

The marginal contribution of the generator model was, on average, 28\% lower than that of human-authored ads, while the translator model received, on average, 32\% more clicks than human-authored ads.

Marketing

LaVAN: Localized and Visible Adversarial Noise

1 code implementation ICML 2018 Danny Karmon, Daniel Zoran, Yoav Goldberg

Most works on adversarial examples for deep-learning based image classifiers use noise that, while small, covers the entire image.

Object

Risk Minimization in Structured Prediction using Orbit Loss

no code implementations7 Dec 2015 Danny Karmon, Joseph Keshet

Methods that are aimed at risk minimization, such as the structured ramp loss, the structured probit loss and the direct loss minimization require at least two inference operations per training iteration.

Structured Prediction

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