SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 75 papers

TitleStatusHype
The Emerging Trends of Multi-Label Learning—0
Learning from eXtreme Bandit Feedback—0
On Data Augmentation for Extreme Multi-label Classification—0
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing—0
Unbiased Loss Functions for Extreme Classification With Missing Labels—0
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model—0
Extreme Multi-label Classification from Aggregated Labels—0
On-the-fly Global Embeddings Using Random Projections for Extreme Multi-label Classification—0
Taming Pretrained Transformers for Extreme Multi-label Text ClassificationCode0
Bonsai -- Diverse and Shallow Trees for Extreme Multi-label ClassificationCode0
Ranking-Based Autoencoder for Extreme Multi-label Classification—0
SeCSeq: Semantic Coding for Sequence-to-Sequence based Extreme Multi-label Classification—0
Block-wise Partitioning for Extreme Multi-label Classification—0
A no-regret generalization of hierarchical softmax to extreme multi-label classificationCode0
Content Explorer: Recommending Novel Entities for a Document Writer—0
HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text CategorizationCode0
Fully Scalable Gaussian Processes using Subspace Inducing Inputs—0
Learning a Compressed Sensing Measurement Matrix via Gradient UnrollingCode0
Adversarial Extreme Multi-label ClassificationCode0
Revisiting the Vector Space Model: Sparse Weighted Nearest-Neighbor Method for Extreme Multi-Label ClassificationCode0
Subset Labeled LDA for Large-Scale Multi-Label Classification—0
Deep Extreme Multi-label LearningCode0
DiSMEC - Distributed Sparse Machines for Extreme Multi-label ClassificationCode0
Sparse Local Embeddings for Extreme Multi-label Classification—0
Locally Non-linear Embeddings for Extreme Multi-label Learning—0
Show:102550
← PrevPage 3 of 3Next →

No leaderboard results yet.