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Found 5 papers, 1 papers with code
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor
Neural architecture search has proven to be a powerful approach to designing and refining neural networks, often boosting their performance and efficiency over manually-designed variations, but comes with computational overhead.
COIN++: Neural Compression Across Modalities
Neural compression algorithms are typically based on autoencoders that require specialized encoder and decoder architectures for different data modalities.
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis
Deep neural networks have revolutionized medical image analysis and disease diagnosis.
Uncertainty Estimation in Cancer Survival Prediction
Survival models are used in various fields, such as the development of cancer treatment protocols.
Mixture Distributions for Scalable Bayesian Inference
We show Ensembles of deterministic and stochastic Neural Networks can indeed be cast as an approximate Bayesian inference.
