{"id":4653,"date":"2019-09-11T10:22:50","date_gmt":"2019-09-11T08:22:50","guid":{"rendered":"https:\/\/www.ezn.de\/ezn-patent\/structuring-autoencoders-for-sparsely-supervised-labeling\/"},"modified":"2021-11-16T17:07:24","modified_gmt":"2021-11-16T16:07:24","slug":"structuring-autoencoders-for-sparsely-supervised-labeling","status":"publish","type":"ezn-patent","link":"https:\/\/www.ezn.de\/en\/ezn-patent\/structuring-autoencoders-for-sparsely-supervised-labeling\/","title":{"rendered":"Structuring Autoencoders for Sparsely Supervised Labeling"},"content":{"rendered":"<p>The generation of labelled data is extremely cost-intensive and error-prone. Using Amazon Mechanical Turk, for example, requires accurate verification of label results, automated relabelling and filtering of useful results.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The generation of labelled data is extremely cost-intensive and error-prone. Using Amazon Mechanical Turk, for example, requires accurate verification of label results, automated relabelling and filtering of useful results.<\/p>\n","protected":false},"author":9,"featured_media":0,"menu_order":0,"template":"","meta":{"footnotes":""},"ezn-category":[2352,2395,2409,2418],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Structuring Autoencoders for Sparsely Supervised Labeling | EZN<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ezn.de\/en\/ezn-patent\/structuring-autoencoders-for-sparsely-supervised-labeling\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Structuring Autoencoders for Sparsely Supervised Labeling | EZN\" \/>\n<meta property=\"og:description\" content=\"The generation of labelled data is extremely cost-intensive and error-prone. 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