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Found 5 papers, 3 papers with code
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes
Two distinct clustering approaches are evaluated which compute spatial and fractional certainty per instance employing samples by the Monte-Carlo Dropout or Deep Ensemble technique.
Detecting Adversarial Examples in Batches -- a geometrical approach
Many deep learning methods have successfully solved complex tasks in computer vision and speech recognition applications.
Recommendations on test datasets for evaluating AI solutions in pathology
The recommendations are intended to help AI developers demonstrate the utility of their products and to help regulatory agencies and end users verify reported performance measures.
Machine Learning State-of-the-Art with Uncertainties
With the availability of data, hardware, software ecosystem and relevant skill sets, the machine learning community is undergoing a rapid development with new architectures and approaches appearing at high frequency every year.
gearshifft - The FFT Benchmark Suite for Heterogeneous Platforms
Fast Fourier Transforms (FFTs) are exploited in a wide variety of fields ranging from computer science to natural sciences and engineering.
Performance Mathematical Software
