{"work":{"id":"477b01a5-d0db-4fd3-82bb-fd705dc04457","openalex_id":null,"doi":null,"arxiv_id":"1703.01365","raw_key":null,"title":"Axiomatic Attribution for Deep Networks","authors":null,"authors_text":"Mukund Sundararajan, Ankur Taly, and Qiqi Yan","year":2017,"venue":"cs.LG","abstract":"We study the problem of attributing the prediction of a deep network to its input features, a problem previously studied by several other works. We identify two fundamental axioms---Sensitivity and Implementation Invariance that attribution methods ought to satisfy. We show that they are not satisfied by most known attribution methods, which we consider to be a fundamental weakness of those methods. We use the axioms to guide the design of a new attribution method called Integrated Gradients. Our method requires no modification to the original network and is extremely simple to implement; it just needs a few calls to the standard gradient operator. We apply this method to a couple of image models, a couple of text models and a chemistry model, demonstrating its ability to debug networks, to extract rules from a network, and to enable users to engage with models better.","external_url":"https://arxiv.org/abs/1703.01365","cited_by_count":null,"metadata_source":"pith","metadata_fetched_at":"2026-05-23T04:12:30.685346+00:00","pith_arxiv_id":"1703.01365","created_at":"2026-05-09T19:05:10.617058+00:00","updated_at":"2026-05-23T04:12:30.685346+00:00","title_quality_ok":true,"display_title":"Axiomatic Attribution for Deep Networks, June 2017","render_title":"Axiomatic Attribution for Deep Networks, June 2017"},"hub":{"state":{"work_id":"477b01a5-d0db-4fd3-82bb-fd705dc04457","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":14,"external_cited_by_count":null,"distinct_field_count":8,"first_pith_cited_at":"2025-02-04T03:33:55+00:00","last_pith_cited_at":"2026-05-14T01:48:00+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-05-26T04:36:19.879407+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"background","n":1}],"polarity_counts":[{"context_polarity":"background","n":1}],"runs":{},"summary":{},"graph":{},"authors":[]}}