{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/lateral-connections-in-denoising-autoencoders","title":"Lateral Connections in Denoising Autoencoders Support Supervised Learning","arxiv_id":"1504.08215","date":"2015-04-30","proceeding":null,"authors":["Antti Rasmus","Harri Valpola","Tapani Raiko"],"abstract":"We show how a deep denoising autoencoder with lateral connections can be used\nas an auxiliary unsupervised learning task to support supervised learning. The\nproposed model is trained to minimize simultaneously the sum of supervised and\nunsupervised cost functions by back-propagation, avoiding the need for\nlayer-wise pretraining. It improves the state of the art significantly in the\npermutation-invariant MNIST classification task.","url_abs":"http://arxiv.org/abs/1504.08215v1","url_pdf":"http://arxiv.org/pdf/1504.08215v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"lateral-connections-in-denoising-autoencoders","repo_url":"https://github.com/AbhinavS99/Ladder-Networks-for-Sign-Languages","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[{"method_slug":"denoising-autoencoder","method_name":"Denoising Autoencoder"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}