output
20152019
most citedBag of Freebies for Training Object Detection Neural Networks

147 citations

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stat.ML2019

Causal Regularization

Dominik Janzing

I argue that regularizing terms in standard regression methods not only help against overfitting finite data, but sometimes also yield better causal models in the infinite sample r…

stat.ML2019★ 40 cited

Deep Gaussian Processes for Multi-fidelity Modeling

Kurt Cutajar, Mark Pullin, Andreas Damianou +2

Multi-fidelity methods are prominently used when cheaply-obtained, but possibly biased and noisy, observations must be effectively combined with limited or expensive true data in o…

stat.ML2019★ 18 cited

Continual Learning in Practice

Tom Diethe, Tom Borchert, Eno Thereska +2

This paper describes a reference architecture for self-maintaining systems that can learn continually, as data arrives. In environments where data evolves, we need architectures th…