{"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/visualization-regularizers-for-neural-network","title":"Visualization Regularizers for Neural Network based Image Recognition","arxiv_id":"1604.02646","date":"2016-04-10","proceeding":null,"authors":["Biswajit Paria","Vikas Reddy","Anirban Santara","Pabitra Mitra"],"abstract":"The success of deep neural networks is mostly due their ability to learn\nmeaningful features from the data. Features learned in the hidden layers of\ndeep neural networks trained in computer vision tasks have been shown to be\nsimilar to mid-level vision features. We leverage this fact in this work and\npropose the visualization regularizer for image tasks. The proposed\nregularization technique enforces smoothness of the features learned by hidden\nnodes and turns out to be a special case of Tikhonov regularization. We achieve\nhigher classification accuracy as compared to existing regularizers such as the\nL2 norm regularizer and dropout, on benchmark datasets without changing the\ntraining computational complexity.","url_abs":"http://arxiv.org/abs/1604.02646v3","url_pdf":"http://arxiv.org/pdf/1604.02646v3.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":"visualization-regularizers-for-neural-network","repo_url":"https://github.com/biswajitsc/VisRegDL","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"visualization-regularizers-for-neural-network","repo_url":"https://github.com/cvikasreddy/VisReg","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}