{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:UIMPGLHZNOLPVD6LC36ZGYSU32","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":"f630649d7c9ee803c2a8429b438e8fbe39fc68f796b346f69eaa94eee5f27ba1","cross_cats_sorted":["cs.CL","cs.SD","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-09T13:18:02Z","title_canon_sha256":"07f6216a6f321a13095b580f5e12b3272e94a4aa293019571eca691ef93a6716"},"schema_version":"1.0","source":{"id":"1812.03483","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.03483","created_at":"2026-05-17T23:54:02Z"},{"alias_kind":"arxiv_version","alias_value":"1812.03483v3","created_at":"2026-05-17T23:54:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.03483","created_at":"2026-05-17T23:54:02Z"},{"alias_kind":"pith_short_12","alias_value":"UIMPGLHZNOLP","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"UIMPGLHZNOLPVD6L","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"UIMPGLHZ","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:7d9ab6034ce757cb1b82c2bec1f32e14ebab58de0730e14f37faf11e9c8fc88c","target":"graph","created_at":"2026-05-17T23:54:02Z","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":"Transcribed datasets typically contain speaker identity for each instance in the data. We investigate two ways to incorporate this information during training: Multi-Task Learning and Adversarial Learning. In multi-task learning, the goal is speaker prediction; we expect a performance improvement with this joint training if the two tasks of speech recognition and speaker recognition share a common set of underlying features. In contrast, adversarial learning is a means to learn representations invariant to the speaker. We then expect better performance if this learnt invariance helps generaliz","authors_text":"Gabriel Synnaeve, Neil Zeghidour, Nicolas Usunier, Ronan Collobert, Vitaliy Liptchinsky, Yossi Adi","cross_cats":["cs.CL","cs.SD","eess.AS","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-09T13:18:02Z","title":"To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.03483","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:dfbe50503acaf98cdac2363745025a640ef039e1ec7f8e4af54ba9335c8aa6cd","target":"record","created_at":"2026-05-17T23:54:02Z","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":"f630649d7c9ee803c2a8429b438e8fbe39fc68f796b346f69eaa94eee5f27ba1","cross_cats_sorted":["cs.CL","cs.SD","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-09T13:18:02Z","title_canon_sha256":"07f6216a6f321a13095b580f5e12b3272e94a4aa293019571eca691ef93a6716"},"schema_version":"1.0","source":{"id":"1812.03483","kind":"arxiv","version":3}},"canonical_sha256":"a218f32cf96b96fa8fcb16fd936254deb0b4ef15f7f462e861031e625050d586","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a218f32cf96b96fa8fcb16fd936254deb0b4ef15f7f462e861031e625050d586","first_computed_at":"2026-05-17T23:54:02.289109Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:02.289109Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1dN+Wkarrx+a1DwrhUzWPyEvYEUTHxvQuJ6+Y07Xz4AtLVvCwOsC+RbgakALR9pbLSBsL1NcL3c4l+4HugjOAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:02.289611Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.03483","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dfbe50503acaf98cdac2363745025a640ef039e1ec7f8e4af54ba9335c8aa6cd","sha256:7d9ab6034ce757cb1b82c2bec1f32e14ebab58de0730e14f37faf11e9c8fc88c"],"state_sha256":"d6765522432217ac77f982f087d2392e6d719c01b4dcd84bc2f87d866f4fd201"}