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Extreme Zero-Shot Learning for Extreme Text Classification.

, , , , and . NAACL-HLT, page 5455-5468. Association for Computational Linguistics, (2022)

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Extreme Zero-Shot Learning for Extreme Text Classification., , , , and . NAACL-HLT, page 5455-5468. Association for Computational Linguistics, (2022)PECOS: Prediction for Enormous and Correlated Output Spaces., , , , , and . KDD, page 4848-4849. ACM, (2022)Data-driven Random Fourier Features using Stein Effect., , , and . IJCAI, page 1497-1503. ijcai.org, (2017)PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models., , , , , , , and . WSDM, page 77-86. ACM, (2024)Entity Disambiguation with Extreme Multi-label Ranking., , , , and . WWW, page 4172-4180. ACM, (2024)PECOS: Prediction for Enormous and Correlated Output Spaces., , , , and . J. Mach. Learn. Res., (2022)Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification., , , , and . SIGIR, page 1870-1874. ACM, (2022)Pre-training Tasks for Embedding-based Large-scale Retrieval., , , , and . ICLR, OpenReview.net, (2020)Effective string processing and matching for author disambiguation., , , , , , , , , and 14 other author(s). KDD Cup, page 7:1-7:9. ACM, (2013)Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013., , , , , , , , , and 14 other author(s). KDD Cup, page 2:1-2:7. ACM, (2013)