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OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification., , , , , , , и . ICML, OpenReview.net, (2024)DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents., , , , , , , , и . WSDM, стр. 31-39. ACM, (2021)Automated knee osteoarthritis severity classification using three-stage preprocessing method and VGG16 architecture., , , , и . Int. J. Imaging Syst. Technol., 33 (3): 1028-1047 (мая 2023)DECAF: Deep Extreme Classification with Label Features., , , , , , и . WSDM, стр. 49-57. 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)SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels., , , , , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 2330-2340. PMLR, (2021)GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification., , , , , , и . WWW, стр. 3733-3744. ACM / IW3C2, (2021)CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform., , , , и . KDD, стр. 3961-3969. ACM, (2022)Graph Regularized Encoder Training for Extreme Classification., , , , , , , , и . CoRR, (2024)