Making a Neural Network learn to say Don't Know

Please use this identifier to cite or link to this item: http://hdl.handle.net/10263/7162

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DC Field	Value	Language
dc.contributor.author	Roy, Laltu	-
dc.date.accessioned	2021-07-12T06:22:27Z	-
dc.date.available	2021-07-12T06:22:27Z	-
dc.date.issued	2020-07	-
dc.identifier.citation	16p.	en_US
dc.identifier.uri	http://hdl.handle.net/10263/7162	-
dc.description	Dissertation under the supervision of Prof. Nikhil R. Pal, Professor, ECSU,	en_US
dc.description.abstract	Classi cation problem is a popular topic within machine learning community. One of the major problem in classi cation task is how to handle incoming patterns which are unusual and di erent in some measure. For such novel input the classi er should be able to distinguish them as unknown type and don't make any decision. In this work we try to address that problem.	en_US
dc.language.iso	en	en_US
dc.publisher	Indian Statistical Institute, Kolkata	en_US
dc.relation.ispartofseries	Dissertation;;2020-10	-
dc.subject	Generative Adversarial Networks	en_US
dc.subject	Novelty Detection	en_US
dc.title	Making a Neural Network learn to say Don't Know	en_US
dc.type	Other	en_US
Appears in Collections:	Dissertations - M Tech (CS)

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