Search Results for author:
Found 7 papers, 1 papers with code
SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data
Accurate short-term PV power prediction enables operators to maximize the amount of power obtained from PV panels and safely reduce the reserve energy needed from fossil fuel sources.
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
Our controlled experiments show that the keys to improving downstream performance on disease classification are (1) using patient metadata to appropriately create positive pairs from different images with the same underlying pathologies, and (2) maximizing the number of different images used in query pairing.
Adversarial Attacks on Binary Image Recognition Systems
Nevertheless, we generalize SCAR to design attacks that fool state-of-the-art check processing systems using unnoticeable perturbations that lead to misclassification of deposit amounts.
AdaLead: A simple and robust adaptive greedy search algorithm for sequence design
In this work, we implement an open-source Fitness Landscape EXploration Sandbox (FLEXS: github. com/samsinai/FLEXS) environment to test and evaluate these algorithms based on their optimality, consistency, and robustness.
Adversarial NLI for Factual Correctness in Text Summarisation Models
We show that the Transformer models fine-tuned on the new dataset achieve significantly higher accuracy and have the potential of selecting a coherent summary.
