Extreme Multi-Label Classification

Extreme Multi-Label Classification is a supervised learning problem where an instance may be associated with multiple labels. The two main problems are the unbalanced labels in the dataset and the amount of different labels.

Papers

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Showing 21–30 of 75 papers

Title	Date	Tasks	Status	Score
Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification	Apr 17, 2019	ClassificationExtreme Multi-Label Classification	CodeCode Available	5
Dual-Encoders for Extreme Multi-Label Classification	Oct 16, 2023	ClassificationExtreme Multi-Label Classification	CodeCode Available	5
Generalized test utilities for long-tail performance in extreme multi-label classification	Nov 9, 2023	Extreme Multi-Label ClassificationMissing Labels	CodeCode Available	5
MDACE: MIMIC Documents Annotated with Code Evidence	Jul 7, 2023	Document ClassificationExtreme Multi-Label Classification	CodeCode Available	5
DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification	Sep 8, 2016	ClassificationExtreme Multi-Label Classification	CodeCode Available	5
Extreme Multi-label Learning for Semantic Matching in Product Search	Jun 23, 2021	Extreme Multi-Label ClassificationMulti-Label Classification	CodeCode Available	5
Taming Pretrained Transformers for Extreme Multi-label Text Classification	May 7, 2019	Extreme Multi-Label ClassificationGeneral Classification	CodeCode Available	5
Adversarial Extreme Multi-label Classification	Mar 5, 2018	ClassificationExtreme Multi-Label Classification	CodeCode Available	5
HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization	Oct 1, 2018	Extreme Multi-Label ClassificationMulti-Label Classification	CodeCode Available	5
Revisiting the Vector Space Model: Sparse Weighted Nearest-Neighbor Method for Extreme Multi-Label Classification	Feb 12, 2018	BIG-bench Machine LearningExtreme Multi-Label Classification	CodeCode Available	5

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