{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HYCQ2STZVIBZOMCI6DSWZPDVI6","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"e8d451fb822c0e745c5d5a90c6613a253d6643b27369f170a1ae0e6263d5b816","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-06T10:17:25Z","title_canon_sha256":"98b4e608863ad07e57c4866229cbd80700296c7de6702a9f8cf2ead25f17b878"},"schema_version":"1.0","source":{"id":"1909.02803","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.02803","created_at":"2026-07-05T00:46:48Z"},{"alias_kind":"arxiv_version","alias_value":"1909.02803v3","created_at":"2026-07-05T00:46:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.02803","created_at":"2026-07-05T00:46:48Z"},{"alias_kind":"pith_short_12","alias_value":"HYCQ2STZVIBZ","created_at":"2026-07-05T00:46:48Z"},{"alias_kind":"pith_short_16","alias_value":"HYCQ2STZVIBZOMCI","created_at":"2026-07-05T00:46:48Z"},{"alias_kind":"pith_short_8","alias_value":"HYCQ2STZ","created_at":"2026-07-05T00:46:48Z"}],"graph_snapshots":[{"event_id":"sha256:904954e8e075a2b66d8d37ae7d238786244e34e4a12adfb17bfc91a7370810d2","target":"graph","created_at":"2026-07-05T00:46:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1909.02803/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We discuss training techniques, objectives and metrics toward personalization of deep learning models. In machine learning, personalization addresses the goal of a trained model to target a particular individual by optimizing one or more performance metrics, while conforming to certain constraints. To personalize, we investigate three methods of ``curriculum learning`` and two approaches for data grouping, i.e., augmenting the data of an individual by adding similar data identified with an auto-encoder. We show that both ``curriculuum learning'' and ``personalized'' data augmentation lead to i","authors_text":"Johannes Schneider, Michail Vlachos","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-06T10:17:25Z","title":"Personalization of Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.02803","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:397acf4ca870dd0147e5bd7eab4fab817019d6a208223b718ef204c9eebbbc1f","target":"record","created_at":"2026-07-05T00:46:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"e8d451fb822c0e745c5d5a90c6613a253d6643b27369f170a1ae0e6263d5b816","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-06T10:17:25Z","title_canon_sha256":"98b4e608863ad07e57c4866229cbd80700296c7de6702a9f8cf2ead25f17b878"},"schema_version":"1.0","source":{"id":"1909.02803","kind":"arxiv","version":3}},"canonical_sha256":"3e050d4a79aa03973048f0e56cbc7547949bf984f0eef9696dfc14921b585c4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e050d4a79aa03973048f0e56cbc7547949bf984f0eef9696dfc14921b585c4a","first_computed_at":"2026-07-05T00:46:48.500951Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:46:48.500951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eTW/PZ1i42SpCGwH0TKSB5lpdmdrtR5ap0vMzT0GACtACBS6bIF9dUic0pWeQBEEDZrEY+lN4PT8CljWSbuBBw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:46:48.501431Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.02803","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:397acf4ca870dd0147e5bd7eab4fab817019d6a208223b718ef204c9eebbbc1f","sha256:904954e8e075a2b66d8d37ae7d238786244e34e4a12adfb17bfc91a7370810d2"],"state_sha256":"6e5b2b433694fc63a8f8d8a9d6231199770bdb9dc0fb08fcc981eadf1c5c57e1"}