{"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/visualizing-the-decision-making-process-in","title":"Visualizing the decision-making process in deep neural decision forest","arxiv_id":"1904.09201","date":"2019-04-19","proceeding":null,"authors":["Shichao Li","Kwang-Ting Cheng"],"abstract":"Deep neural decision forest (NDF) achieved remarkable performance on various\nvision tasks via combining decision tree and deep representation learning. In\nthis work, we first trace the decision-making process of this model and\nvisualize saliency maps to understand which portion of the input influence it\nmore for both classification and regression problems. We then apply NDF on a\nmulti-task coordinate regression problem and demonstrate the distribution of\nrouting probabilities, which is vital for interpreting NDF yet not shown for\nregression problems. The pre-trained model and code for visualization will be\navailable at https://github.com/Nicholasli1995/VisualizingNDF","url_abs":"http://arxiv.org/abs/1904.09201v1","url_pdf":"http://arxiv.org/pdf/1904.09201v1.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":"visualizing-the-decision-making-process-in","repo_url":"https://github.com/Nicholasli1995/VisualizingNDF","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"decision-making","task_name":"Decision Making"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"representation-learning","task_name":"Representation Learning"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.09201","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}