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07/18/2023
Mining of Single-Class by Active Learning for Semantic Segmentation
Several Active Learning (AL) policies require retraining a target model ...
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06/20/2022
Deep reinforced active learning for multi-class image classification
High accuracy medical image classification can be limited by the costs o...
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09/09/2021
GNisi: A graph network for reconstructing Ising models from multivariate binarized data
Ising models are a simple generative approach to describing interacting ...
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06/25/2021
Data efficiency in graph networks through equivariance
We introduce a novel architecture for graph networks which is equivarian...
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05/28/2021
Symmetry-driven graph neural networks
Exploiting symmetries and invariance in data is a powerful, yet not full...
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03/25/2021