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ivis: dimensionality reduction in very large datasets using Siamese Networks

Ignat Drozdov; Benjamin Szubert


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    <subfield code="a">ivis: dimensionality reduction in very large datasets using Siamese Networks</subfield>
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    <subfield code="a">&lt;p&gt;Major features:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Support for semi-supervised dimensionality reduction&lt;/li&gt;
	&lt;li&gt;Switch from using fit_generator to fit for training the Keras model&lt;/li&gt;
	&lt;li&gt;Address eager execution issues with TF 2.0&lt;/li&gt;
	&lt;li&gt;User-configurable on-disk-building of Annoy index.&lt;/li&gt;
	&lt;li&gt;Tidy handling of interrupted multi-thread processes&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Minor features:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Tests for semi-supervised DR&lt;/li&gt;
	&lt;li&gt;Improved input validation&lt;/li&gt;
	&lt;li&gt;Better hyper parameter validation&lt;/li&gt;
	&lt;li&gt;
	&lt;p&gt;Slight changes to default hyperparameters&lt;/p&gt;
	&lt;/li&gt;
	&lt;li&gt;
	&lt;p&gt;Bug fixes&lt;/p&gt;
	&lt;/li&gt;
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