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Found 5 papers, 2 papers with code
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
Agent-based modeling has been around for decades, and applied widely across the social and natural sciences.
Federated Multilingual Models for Medical Transcript Analysis
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.
Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their Performance
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.
LaVAN: Localized and Visible Adversarial Noise
Most works on adversarial examples for deep-learning based image classifiers use noise that, while small, covers the entire image.
Risk Minimization in Structured Prediction using Orbit Loss
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.
