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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

Showing 125 of 75 papers

TitleStatusHype
Semantic Operators: A Declarative Model for Rich, AI-based Data ProcessingCode5
In-Context Learning for Extreme Multi-Label ClassificationCode3
Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification FrameworkCode1
ELIAS: End-to-End Learning to Index and Search in Large Output SpacesCode1
DECAF: Deep Extreme Classification with Label FeaturesCode1
Probabilistic Label Trees for Extreme Multi-label ClassificationCode1
Cluster-Guided Label Generation in Extreme Multi-Label ClassificationCode1
Propensity-scored Probabilistic Label TreesCode1
ECLARE: Extreme Classification with Label Graph CorrelationsCode1
Adversarial Extreme Multi-label ClassificationCode0
Multi-label Learning with Random Circular VectorsCode0
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood PredictionCode0
Deep Extreme Multi-label LearningCode0
Dense Retrieval as Indirect Supervision for Large-space Decision MakingCode0
Priberam at MESINESP Multi-label Classification of Medical Texts TaskCode0
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label ClassificationCode0
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label ClassificationCode0
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU ServersCode0
Learning a Compressed Sensing Measurement Matrix via Gradient UnrollingCode0
Bonsai -- Diverse and Shallow Trees for Extreme Multi-label ClassificationCode0
Dual-Encoders for Extreme Multi-Label ClassificationCode0
Generalized test utilities for long-tail performance in extreme multi-label classificationCode0
A no-regret generalization of hierarchical softmax to extreme multi-label classificationCode0
MDACE: MIMIC Documents Annotated with Code EvidenceCode0
DiSMEC - Distributed Sparse Machines for Extreme Multi-label ClassificationCode0
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