{"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/further-analysis-of-outlier-detection-with","title":"Further Analysis of Outlier Detection with Deep Generative Models","arxiv_id":"2010.13064","date":"2020-10-25","proceeding":"NeurIPS 2020 12","authors":["Ziyu Wang","Bin Dai","David Wipf","Jun Zhu"],"abstract":"The recent, counter-intuitive discovery that deep generative models (DGMs) can frequently assign a higher likelihood to outliers has implications for both outlier detection applications as well as our overall understanding of generative modeling. In this work, we present a possible explanation for this phenomenon, starting from the observation that a model's typical set and high-density region may not conincide. From this vantage point we propose a novel outlier test, the empirical success of which suggests that the failure of existing likelihood-based outlier tests does not necessarily imply that the corresponding generative model is uncalibrated. We also conduct additional experiments to help disentangle the impact of low-level texture versus high-level semantics in differentiating outliers. In aggregate, these results suggest that modifications to the standard evaluation practices and benchmarks commonly applied in the literature are needed.","url_abs":"https://arxiv.org/abs/2010.13064v1","url_pdf":"https://arxiv.org/pdf/2010.13064v1.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":"further-analysis-of-outlier-detection-with","repo_url":"https://github.com/thu-ml/ood-dgm","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"outlier-detection","task_name":"Outlier Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2010.13064","atlas_url":"https://app.syntology.ai/?focus=2010.13064","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.13064"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+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. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/thu-ml/ood-dgm","reach":null}],"summary":{"ran_fixture":4,"ran_draft_wrong":5,"ran_honours":1,"unverified":1},"by_repo_kind":{"official":{"samples":11,"ran":10,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":11,"samples":[{"code_sha256_prefix":"12c1f7d5258cde7c","entry":"autocorr5","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"pixelcnn/linear_tests.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/pixelcnn/linear_tests.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"12c1f7d5258cde7c"}},{"code_sha256_prefix":"95a1692d7acda49d","entry":"autocorr5","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"vae/src/oodutils.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/vae/src/oodutils.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"95a1692d7acda49d"}},{"code_sha256_prefix":"d75580f0fb3f136b","entry":"autocorr_plot","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"vae/src/oodutils.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/vae/src/oodutils.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"d75580f0fb3f136b"}},{"code_sha256_prefix":"0395293ce694df37","entry":"extract_single_chan","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"vae/src/ood_test.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/vae/src/ood_test.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"0395293ce694df37"}},{"code_sha256_prefix":"671610baf7ebf3e9","entry":"get_autocorr","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"vae/src/oodutils.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/vae/src/oodutils.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"671610baf7ebf3e9"}},{"code_sha256_prefix":"ab103aa5251e1c82","entry":"get_autocorr_","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"pixelcnn/linear_tests.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/pixelcnn/linear_tests.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"ab103aa5251e1c82"}},{"code_sha256_prefix":"06b3d18ad8bb25f8","entry":"get_roc","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"vae/src/oodutils.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/vae/src/oodutils.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"06b3d18ad8bb25f8"}},{"code_sha256_prefix":"41e4839301425a6c","entry":"get_wn_stats","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"pixelcnn/linear_tests.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/pixelcnn/linear_tests.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"41e4839301425a6c"}},{"code_sha256_prefix":"69bb6ba7cbf5782d","entry":"normalize_feature","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"vae/src/oodutils.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/vae/src/oodutils.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"69bb6ba7cbf5782d"}},{"code_sha256_prefix":"681ca4475dc8bcdf","entry":"time_series_test","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"vae/src/oodutils.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/vae/src/oodutils.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"681ca4475dc8bcdf"}},{"code_sha256_prefix":"52b01ef0414c2f17","entry":"plot_autocorrelations","repo":"thu-ml/ood-dgm","repo_kind":"official","path":"vae/src/oodutils.py","file_url":"https://github.com/thu-ml/ood-dgm/blob/HEAD/vae/src/oodutils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"52b01ef0414c2f17"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}