{"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/adanet-adaptive-structural-learning-of","title":"AdaNet: Adaptive Structural Learning of Artificial Neural Networks","arxiv_id":"1607.01097","date":"2016-07-05","proceeding":"ICML 2017 8","authors":["Corinna Cortes","Xavi Gonzalvo","Vitaly Kuznetsov","Mehryar Mohri","Scott Yang"],"abstract":"We present new algorithms for adaptively learning artificial neural networks.\nOur algorithms (AdaNet) adaptively learn both the structure of the network and\nits weights. They are based on a solid theoretical analysis, including\ndata-dependent generalization guarantees that we prove and discuss in detail.\nWe report the results of large-scale experiments with one of our algorithms on\nseveral binary classification tasks extracted from the CIFAR-10 dataset. The\nresults demonstrate that our algorithm can automatically learn network\nstructures with very competitive performance accuracies when compared with\nthose achieved for neural networks found by standard approaches.","url_abs":"http://arxiv.org/abs/1607.01097v3","url_pdf":"http://arxiv.org/pdf/1607.01097v3.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":"adanet-adaptive-structural-learning-of","repo_url":"https://github.com/dataforcast/OC_Datascientist","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"adanet-adaptive-structural-learning-of","repo_url":"https://github.com/MS-Mind/MS-Code-03","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":{"status":"ok"}}],"tasks":[{"task_slug":"binary-classification","task_name":"Binary Classification"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1607.01097","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}