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Found 4 papers, 3 papers with code
Neural Multigrid Memory For Computational Fluid Dynamics
Turbulent flow simulation plays a crucial role in various applications, including aircraft and ship design, industrial process optimization, and weather prediction.
Semi-supervised learning for medical image classification using imbalanced training data
Medical image classification is often challenging for two reasons: a lack of labelled examples due to expensive and time-consuming annotation protocols, and imbalanced class labels due to the relative scarcity of disease-positive individuals in the wider population.
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
While positive pairs can be generated reliably (e. g., as different views of the same image), it is difficult to accurately establish negative pairs, defined as samples from different images regardless of their semantic content or visual features.
Multigrid Neural Memory
We introduce a novel approach to endowing neural networks with emergent, long-term, large-scale memory.
