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X-WR-CALNAME:Towards Reliable Deep Learning
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UID:2021-01-11-florian-wenzel@cml.ics.uci.edu
DTSTAMP:20210111T000000Z
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DTSTART;TZID=America/Los_Angeles:20210111T130000
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SUMMARY:[CML Seminar] Florian Wenzel: Towards Reliable Deep Learning
LOCATION:Online (live stream)
DESCRIPTION:Florian Wenzel\, Postdoctoral Researcher\, Google Brain Berlin\
n\nTitle: Towards Reliable Deep Learning\n\nAbstract: Deep learning models
are bad at detecting their failure\, tending to make over-confident mista
kes especially under distribution shift. We discuss two approaches to reli
able deep learning. First\, we focus on Bayesian neural networks and cast
doubt on the current understanding of Bayes posteriors in deep networks\,
showing that they can be improved significantly through a cold posterior t
hat sharply deviates from the Bayesian paradigm\, and discuss hypotheses t
hat could explain it. Second\, we discuss ensembles: we show that the dive
rsity of predictions can be improved by considering models with different
hyperparameters\, and present an efficient method that leverages hyperpara
meter diversity within a single model.\n\nhttps://cml.ics.uci.edu/seminars
/2021-01-11-florian-wenzel
X-ALT-DESC;FMTTYPE=text/html:Florian Wenzel\, Postdoctor
al Researcher\, Google Brain Berlin
Title: Towards Reliable
Deep Learning
Abstract: Deep learning models are bad at dete
cting their failure\, tending to make over-confident mistakes especially u
nder distribution shift. We discuss two approaches to reliable deep learni
ng. First\, we focus on Bayesian neural networks and cast doubt on the cur
rent understanding of Bayes posteriors in deep networks\, showing that the
y can be improved significantly through a cold posterior that sharply devi
ates from the Bayesian paradigm\, and discuss hypotheses that could explai
n it. Second\, we discuss ensembles: we show that the diversity of predict
ions can be improved by considering models with different hyperparameters\
, and present an efficient method that leverages hyperparameter diversity
within a single model.
https://cml.ics.uci.edu/seminars/2021-01-11-flori
an-wenzel
URL:https://cml.ics.uci.edu/seminars/2021-01-11-florian-wenzel
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