15 citations · 24 across the 5 of their papers we have counts for
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cs.LG2019★ 1 cited
Ranking-Based Autoencoder for Extreme Multi-label Classification
Bingyu Wang, Li Chen, Wei Sun +3
Extreme Multi-label classification (XML) is an important yet challenging machine learning task, that assigns to each instance its most relevant candidate labels from an extremely l…
cs.CL2019★ 15 cited
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
Kechen Qin, Cheng Li, Virgil Pavlu +1
We present an adaptation of RNN sequence models to the problem of multi-label classification for text, where the target is a set of labels, not a sequence. Previous such RNN models…