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DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging.

, , , and . Rep4NLP@ACL, page 111-120. Association for Computational Linguistics, (2017)

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Noisy Matrix Completion Under Sparse Factor Models., , , and . IEEE Trans. Inf. Theory, 62 (6): 3636-3661 (2016)Estimation error guarantees for Poisson denoising with sparse and structured dictionary models., and . ISIT, page 2002-2006. IEEE, (2014)Recycled linear classifiers for multiclass classification., , and . ICASSP, page 2957-2961. IEEE, (2014)Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations., , , , , , and . CoRR, (2021)Personalized Retrieval over Millions of Items., , , , , , , , , and 1 other author(s). SIGIR, page 1014-1022. ACM, (2023)NGAME: Negative Mining-aware Mini-batching for Extreme Classification., , , , , , , , , and 9 other author(s). WSDM, page 258-266. ACM, (2023)Noisy Matrix Completion under Sparse Factor Models., , , and . CoRR, (2014)On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements., and . CoRR, (2013)Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks., , , , , , , , , and . CoRR, (2021)DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents., , , , , , , , and . WSDM, page 31-39. ACM, (2021)