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11/10/2022
Does the explanation satisfy your needs?: A unified view of properties of explanations
Interpretability provides a means for humans to verify aspects of machin...
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06/07/2021
Uncertainty Baselines: Benchmarks for Uncertainty Robustness in Deep Learning
High-quality estimates of uncertainty and robustness are crucial for num...
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10/13/2020
Training independent subnetworks for robust prediction
Recent approaches to efficiently ensemble neural networks have shown tha...
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10/02/2020
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding
Variational Autoencoders (VAEs) have seen widespread use in learned imag...
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09/30/2018
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters
While deep neural networks are a highly successful model class, their la...
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06/14/2018
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo
Deep Gaussian Processes (DGPs) are hierarchical generalizations of Gauss...
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01/09/2018
