{"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-deep-neural-network-decisions","title":"Visualizing Deep Neural Network Decisions: Prediction Difference Analysis","arxiv_id":"1702.04595","date":"2017-02-15","proceeding":null,"authors":["Luisa M. Zintgraf","Taco S. Cohen","Tameem Adel","Max Welling"],"abstract":"This article presents the prediction difference analysis method for\nvisualizing the response of a deep neural network to a specific input. When\nclassifying images, the method highlights areas in a given input image that\nprovide evidence for or against a certain class. It overcomes several\nshortcoming of previous methods and provides great additional insight into the\ndecision making process of classifiers. Making neural network decisions\ninterpretable through visualization is important both to improve models and to\naccelerate the adoption of black-box classifiers in application areas such as\nmedicine. We illustrate the method in experiments on natural images (ImageNet\ndata), as well as medical images (MRI brain scans).","url_abs":"http://arxiv.org/abs/1702.04595v1","url_pdf":"http://arxiv.org/pdf/1702.04595v1.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-deep-neural-network-decisions","repo_url":"https://github.com/lmzintgraf/DeepVis-PredDiff","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"decision-making","task_name":"Decision Making"},{"task_slug":"prediction","task_name":"Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1702.04595","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1702.04595"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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