1 code implementation • 6 Dec 2023 • Alexander Sasha Vezhnevets, John P. Agapiou, Avia Aharon, Ron Ziv, Jayd Matyas, Edgar A. Duéñez-Guzmán, William A. Cunningham, Simon Osindero, Danny Karmon, Joel Z. Leibo
Agent-based modeling has been around for decades, and applied widely across the social and natural sciences.
no code implementations • 4 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.
no code implementations • 27 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.
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.
no code implementations • 7 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.