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Extreme multi-label classification (XMLC) is a learning task of tagging instances with a small subset of relevant labels chosen from an extremely large pool of possible labels.
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Fastxml: A fast, accurate and stable tree-classifier for extreme multi-label learning
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Dismec: Distributed sparse machines for extreme multi-label classification
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Optimizing f-measures by cost-sensitive classification
S. Puthiya Parambath, N. Usunier, and Y. Grandvalet · 2014
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R. Busa-Fekete, B. Szörényi, K. Dembczynski, and E. Hüllermeier · 2015
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Consistent multilabel classification
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A. Beygelzimer, H. Daumé, J. Langford, and P. Mineiro · 2016
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The extreme classification repository: Multi-label datasets and code, 2016
K. Bhatia, K. Dahiya, H. Jain, A. Mittal, Y. Prabhu, and M. Varma · 2016
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Annexml: Approximate nearest neighbor search for extreme multi-label classification
Y. Tagami · 2017
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Ppdsparse: A parallel primal-dual sparse method for extreme classification
I. E. Yen, X. Huang, W. Dai, P. Ravikumar, I. Dhillon, and E. Xing · 2017
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Efficient exact batch prediction for label trees
K. Jasinska · 2018
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Parabel: Partitioned label trees for extreme classification with application to dynamic search advertising
Y. Prabhu, A. Kag, S. Harsola, R. Agrawal, and M. Varma · 2018
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A no-regret generalization of hierarchical softmax to extreme multi-label classification
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On the computational complexity of the probabilistic label tree algorithms
R. Busa-Fekete, K. Dembczynski, A. Golovnev, K. Jasinska, M. Kuznetsov, M. Sviridenko, and C. Xu · 2019
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Bonsai - diverse and shallow trees for extreme multi-label classification
S. Khandagale, H. Xiao, and R. Babbar · 2019
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Multilabel reductions: what is my loss optimising?
A. K. Menon, A. S. Rawat, S. Reddi, and S. Kumar · 2019
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Attentionxml: Label tree-based attention-aware deep model for high-performance extreme multi-label text classification
R. You, Z. Zhang, Z. Wang, S. Dai, H. Mamitsuka, and S. Zhu · 2019
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Online probabilistic label trees
K. Jasinska-Kobus, M. Wydmuch, D. Thiruvenkatachari, and K. Dembczyński · 2020
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Learning optimal tree models under beam search
J. Zhuo, Z. Xu, W. Dai, H. Zhu, H. Li, J. Xu, and K. Gai · 2020
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