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X-WR-CALNAME:Instance-adaptive data compression: Improving Neural Codecs by
Training on the Test Set
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UID:2022-05-09-ties-van-rozendaal@cml.ics.uci.edu
DTSTAMP:20220509T000000Z
SEQUENCE:57690
DTSTART;TZID=America/Los_Angeles:20220509T130000
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SUMMARY:[CML Seminar] Ties van Rozendaal: Instance-adaptive data compressio
n: Improving Neural Codecs by Training on the Test Set
LOCATION:Donald Bren Hall 4011
DESCRIPTION:Ties van Rozendaal\, Senior Machine Learning Researcher\, Qualc
omm AI Research\n\nTitle: Instance-adaptive data compression: Improving Ne
ural Codecs by Training on the Test Set\n\nAbstract: Neural data compressi
on has been shown to outperform classical methods in terms of rate-distort
ion performance. These models are fitted to a training dataset and cannot
be expected to optimally compress test data in general\, due to limits on
model capacity\, distribution shifts\, and imperfect optimization. Instanc
e-adaptive methods take adaptation to the extreme\, adapting the model to
a single test instance and signaling the updated model in the bitstream. I
n this talk\, we show the potential of different types of instance-adaptiv
e methods and discuss the tradeoffs they pose.\n\nhttps://cml.ics.uci.edu/
seminars/2022-05-09-ties-van-rozendaal
X-ALT-DESC;FMTTYPE=text/html:Ties van Rozendaal\, Senior
Machine Learning Researcher\, Qualcomm AI Research
Title: I
nstance-adaptive data compression: Improving Neural Codecs by Training on
the Test Set
Abstract: Neural data compression has been show
n to outperform classical methods in terms of rate-distortion performance.
These models are fitted to a training dataset and cannot be expected to o
ptimally compress test data in general\, due to limits on model capacity\,
distribution shifts\, and imperfect optimization. Instance-adaptive metho
ds take adaptation to the extreme\, adapting the model to a single test in
stance and signaling the updated model in the bitstream. In this talk\, we
show the potential of different types of instance-adaptive methods and di
scuss the tradeoffs they pose.
https://cml.ics.uci.edu/seminars/2022
-05-09-ties-van-rozendaal
URL:https://cml.ics.uci.edu/seminars/2022-05-09-ties-van-rozendaal
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