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Found 4 papers, 0 papers with code
Towards One Shot Search Space Poisoning in Neural Architecture Search
We evaluate the robustness of a Neural Architecture Search (NAS) algorithm known as Efficient NAS (ENAS) against data agnostic poisoning attacks on the original search space with carefully designed ineffective operations.
NeuralArTS: Structuring Neural Architecture Search with Type Theory
Neural Architecture Search (NAS) algorithms automate the task of finding optimal deep learning architectures given an initial search space of possible operations.
Poisoning the Search Space in Neural Architecture Search
Deep learning has proven to be a highly effective problem-solving tool for object detection and image segmentation across various domains such as healthcare and autonomous driving.
Predicting ICU transfers using text messages between nurses and doctors
We explore the use of real-time clinical information, i. e., text messages sent between nurses and doctors regarding patient conditions in order to predict transfer to the intensive care unit(ICU).
