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DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents., , , , , , , , и . WSDM, стр. 31-39. ACM, (2021)Personalized Retrieval over Millions of Items., , , , , , , , , и 1 other автор(ы). SIGIR, стр. 1014-1022. ACM, (2023)NGAME: Negative Mining-aware Mini-batching for Extreme Classification., , , , , , , , , и 9 other автор(ы). WSDM, стр. 258-266. ACM, (2023)DECAF: Deep Extreme Classification with Label Features., , , , , , и . WSDM, стр. 49-57. ACM, (2021)GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification., , , , , , и . WWW, стр. 3733-3744. ACM / IW3C2, (2021)SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels., , , , , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 2330-2340. PMLR, (2021)CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform., , , , и . KDD, стр. 3961-3969. ACM, (2022)NGAME: Negative Mining-aware Mini-batching for Extreme Classification., , , , , , , , , и 9 other автор(ы). CoRR, (2022)Deep Encoders with Auxiliary Parameters for Extreme Classification., , , , , , , , и . KDD, стр. 358-367. ACM, (2023)Renee: End-To-End Training of Extreme Classification Models., , , , , и . MLSys, mlsys.org, (2023)