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 1–50 of 75 papers

TitleStatusHype
Semantic Operators: A Declarative Model for Rich, AI-based Data ProcessingCode5
In-Context Learning for Extreme Multi-Label ClassificationCode3
Probabilistic Label Trees for Extreme Multi-label ClassificationCode1
DECAF: Deep Extreme Classification with Label FeaturesCode1
ELIAS: End-to-End Learning to Index and Search in Large Output SpacesCode1
ECLARE: Extreme Classification with Label Graph CorrelationsCode1
Propensity-scored Probabilistic Label TreesCode1
Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification FrameworkCode1
Cluster-Guided Label Generation in Extreme Multi-Label ClassificationCode1
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss—0
Adopting the Multi-answer Questioning Task with an Auxiliary Metric for Extreme Multi-label Text Classification Utilizing the Label Hierarchy—0
On-the-fly Global Embeddings Using Random Projections for Extreme Multi-label Classification—0
Augmenting Training Data for Massive Semantic Matching Models in Low-Traffic E-commerce Stores—0
Block-wise Partitioning for Extreme Multi-label Classification—0
Content Explorer: Recommending Novel Entities for a Document Writer—0
Learning from eXtreme Bandit Feedback—0
Learning label-label correlations in Extreme Multi-label Classification via Label Features—0
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model—0
Locally Non-linear Embeddings for Extreme Multi-label Learning—0
Multi-label Ranking: Mining Multi-label and Label Ranking Data—0
On Data Augmentation for Extreme Multi-label Classification—0
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification—0
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems—0
Open Vocabulary Extreme Classification Using Generative Models—0
Ranking-Based Autoencoder for Extreme Multi-label Classification—0
Retrieval-augmented Encoders for Extreme Multi-label Text Classification—0
Review of Extreme Multilabel Classification—0
SeCSeq: Semantic Coding for Sequence-to-Sequence based Extreme Multi-label Classification—0
Sparse Local Embeddings for Extreme Multi-label Classification—0
Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization—0
Subset Labeled LDA for Large-Scale Multi-Label Classification—0
TailMix: Overcoming the Label Sparsity for Extreme Multi-label Classification—0
Tensor Composition Net for Visual Relationship Prediction—0
The Emerging Trends of Multi-Label Learning—0
Unbiased Loss Functions for Extreme Classification With Missing Labels—0
Unbiased Loss Functions for Multilabel Classification with Missing Labels—0
Uncertainty in Extreme Multi-label Classification—0
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification—0
Efficient Text Encoders for Labor Market Analysis—0
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification—0
Exploring space efficiency in a tree-based linear model for extreme multi-label classification—0
Extreme Classification for Answer Type Prediction in Question Answering—0
Extreme Multi-label Classification from Aggregated Labels—0
Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction—0
Extreme Multi-Label Skill Extraction Training using Large Language Models—0
Fine-grained Generalization Analysis of Vector-valued Learning—0
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning—0
Fully Scalable Gaussian Processes using Subspace Inducing Inputs—0
GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation—0
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing—0
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.