{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:EXIQPPVPG2Y3AC44KZMSXUPP4K","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":"a6025f454fe1c6c2c8abd7cc94ba37fc9ebaa72eb6215ba9826bfc555c2e86ec","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-04T11:35:27Z","title_canon_sha256":"df7e1dacf1c2ee06e33d13579f2be87a6f23c81ea6664224be527ea2276461ab"},"schema_version":"1.0","source":{"id":"1903.01182","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.01182","created_at":"2026-05-17T23:50:40Z"},{"alias_kind":"arxiv_version","alias_value":"1903.01182v2","created_at":"2026-05-17T23:50:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.01182","created_at":"2026-05-17T23:50:40Z"},{"alias_kind":"pith_short_12","alias_value":"EXIQPPVPG2Y3","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"EXIQPPVPG2Y3AC44","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"EXIQPPVP","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:0685251c1eae5d0792628905bc5ac1f142c99052ab262025c7da410ecb853a5a","target":"graph","created_at":"2026-05-17T23:50:40Z","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"},"paper":{"abstract_excerpt":"Learning with a primary objective, such as softmax cross entropy for classification and sequence generation, has been the norm for training deep neural networks for years. Although being a widely-adopted approach, using cross entropy as the primary objective exploits mostly the information from the ground-truth class for maximizing data likelihood, and largely ignores information from the complement (incorrect) classes. We argue that, in addition to the primary objective, training also using a complement objective that leverages information from the complement classes can be effective in impro","authors_text":"Chun-Hao Liu, Da-Cheng Juan, Hao-Yun Chen, Jia-Yu Pan, Pei-Hsin Wang, Shih-Chieh Chang, Wei Wei, Yu-Ting Chen","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-04T11:35:27Z","title":"Complement Objective Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.01182","kind":"arxiv","version":2},"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":"sha256:7966a93c114084d73b2bae61d7969654cfe7a3e7d1ba1657c803080a065b8e76","target":"record","created_at":"2026-05-17T23:50:40Z","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":"a6025f454fe1c6c2c8abd7cc94ba37fc9ebaa72eb6215ba9826bfc555c2e86ec","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-04T11:35:27Z","title_canon_sha256":"df7e1dacf1c2ee06e33d13579f2be87a6f23c81ea6664224be527ea2276461ab"},"schema_version":"1.0","source":{"id":"1903.01182","kind":"arxiv","version":2}},"canonical_sha256":"25d107beaf36b1b00b9c56592bd1efe2a9a3911467c234af57cc02cef6fbc327","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"25d107beaf36b1b00b9c56592bd1efe2a9a3911467c234af57cc02cef6fbc327","first_computed_at":"2026-05-17T23:50:40.600829Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:40.600829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Im+UrRIKRpV7QBJksUKLSSb0aSX234xlbtzt50fMeaDUqdCbhBxaDfY6JvlSC2YCHvV+QyD1f0AenErnd4x/CA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:40.601525Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.01182","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7966a93c114084d73b2bae61d7969654cfe7a3e7d1ba1657c803080a065b8e76","sha256:0685251c1eae5d0792628905bc5ac1f142c99052ab262025c7da410ecb853a5a"],"state_sha256":"90e0fb1d18b6e8b4c5bae2f3741733189b4c033092db3608f3c7df3175622f2f"}