FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Knowledge Discovery and Data Mining

• Publication date

  2014-08-24

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1145/2623330.2623651
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Logarithmic Time Online Multiclass prediction

  2014cited by this paper
• Large-scale Multi-label Learning with Missing Labels

  2013cited by this paper
• Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages

  2013influential reference
• Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

  2013cited by this paper
• Efficient Multi-label Classification with Many Labels

  2013cited by this paper
• A Theoretical Analysis of NDCG Type Ranking Measures

  2013cited by this paper
• Robust Bloom Filters for Large MultiLabel Classification Tasks

  2013cited by this paper
• Label Partitioning For Sublinear Ranking

  2013influential reference
• The Landmark Selection Method for Multiple Output Prediction

  2012cited by this paper
• Multilabel Classification using Bayesian Compressed Sensing

  2012cited by this paper
• Efficient max-margin multi-label classification with applications to zero-shot learning

  2012influential reference
• Multilabel Classification with Principal Label Space Transformation

  2012cited by this paper
• Feature-aware Label Space Dimension Reduction for Multi-label Classification

  2012cited by this paper
• Multi-label Classication with Error-correcting Codes

  2011cited by this paper
• WSABIE: Scaling Up to Large Vocabulary Image Annotation

  2011influential reference
• Multi-label Classification with Error-correcting Codes

  2011cited by this paper
• On NDCG Consistency of Listwise Ranking Methods

  2011cited by this paper
• Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition

  2011cited by this paper
• An improved GLMNET for l1-regularized logistic regression

  2011cited by this paper
• Smoothing NDCG metrics using tied scores

  2011cited by this paper
• Multi-Label Output Codes using Canonical Correlation Analysis

  2011cited by this paper
• Discriminative learning of relaxed hierarchy for large-scale visual recognition

  2011cited by this paper
• MultiLabel Classification on Tree- and DAG-Structured Hierarchies

  2011cited by this paper
• Label Embedding Trees for Large Multi-Class Tasks

  2010cited by this paper
• Learning to Rank by Optimizing NDCG Measure

  2009cited by this paper
• BoltzRank: learning to maximize expected ranking gain

  2009cited by this paper
• Multi-Label Prediction via Compressed Sensing

  2009cited by this paper
• Extracting Shared Subspaces for Multi-label Classification

  2008cited by this paper
• Effective and Efficient Multilabel Classification in Domains with Large Number of Labels

  2008cited by this paper
• LIBLINEAR: A Library for Large Linear Classification

  2008cited by this paper
• Extracting shared subspace for multi-label classification

  2008cited by this paper
• Multilabel Text Classification for Automated Tag Suggestion

  2008influential reference
• An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression

  2007cited by this paper
• The challenge problem for automated detection of 101 semantic concepts in multimedia

  2006cited by this paper
• Kernel-Based Learning of Hierarchical Multilabel Classification Models

  2006cited by this paper
• Extremely randomized trees

  2006cited by this paper
• Incremental Algorithms for Hierarchical Classification

  2004cited by this paper

• AI-driven skill keyword suggestion for multi-round interviews: A graph-based topic approach

  2026cites this paper
• Research on plug-and-play correlation enhancement modules in deep multi-label learning

  2026cites this paper
• Hierarchical Multi-Label Generation with Probabilistic Level-Constraint

  2025cites this paper
• Contrastive Transformer Network for Long Tail Classification

  2025cites this paper
• A New Dataset and Neural Benchmark for Multi-Label Classification of Modern Slavery Litigation

  2025cites this paper
• LLM-guided Hierarchical Retrieval

  2025cites this paper
• Enhancing Tail NFT Recommendation via Dependency-Aware Extreme Multi-Label Learning

  2025cites this paper
• Adaptive hypergraph and weighted classifier guided spectral learning for multi-label classification

  2025cites this paper
• HT-FVD: Hybrid Transformer Framework for Fine-Grained Vulnerability Detection in Third-Party Libraries

  2025cites this paper
• Automated detection of affected libraries from vulnerability reports

  2025influential citation
• The LambdaGap Framework for Precision-Oriented Ranking

  2025cites this paper
• Identifying Affected Third-Party Java Libraries from Textual Descriptions of Vulnerabilities and Libraries

  2025cites this paper
• Multi-Label Text Classification Based on Label-Sentence Bi-Attention Fusion Network with Multi-Level Feature Extraction

  2025cites this paper
• Hierarchical deep learning for multi-label imbalanced text classification of economic literature

  2025cites this paper
• Random feature embeddings give strong baselines for extreme multi-label text classification

  2025influential citation
• MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBM

  2025cites this paper
• Extreme Multi-Label Completion for Semantic Document Tagging with Taxonomy-Aware Parallel Learning

  2025cites this paper
• News-Driven Price Movement Forecasting with Label-Prior Graph Attention

  2024cites this paper
• Follow the Path: Hierarchy-Aware Extreme Multi-Label Completion for Semantic Text Tagging

  2024cites this paper
• Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification

  2024cites this paper
• Multi-Head Encoding for Extreme Label Classification

  2024influential citation
• Collaborative learning of supervision and correlation for generalized zero-shot extreme multi-label learning

  2024cites this paper
• Multi-label Learning with Random Circular Vectors

  2024influential citation
• TLC-XML: Transformer with Label Correlation for Extreme Multi-label Text Classification

  2024cites this paper
• Information Retrieval and Machine Learning Methods for Academic Expert Finding

  2024cites this paper
• Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification

  2024cites this paper
• Technique of Feature Extraction Based on Interpretation Analysis for Multilabel Learning in Nonintrusive Load Monitoring With Multiappliance Circumstances

  2024cites this paper
• AttentionXML VS LLMs: An Empirical Evaluation of Extreme Multi-Label Classification Techniques

  2024cites this paper
• Generalization Analysis for Label-Specific Representation Learning

  2024cites this paper
• Learning cluster-wise label distribution for label enhancement

  2024cites this paper
• Leveraging Pre-Trained Extreme Multi-Label Classifiers for Zero-Shot Learning

  2024cites this paper
• Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss

  2024cites this paper
• On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification

  2024cites this paper
• Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning

  2024cites this paper
• Residual diverse ensemble for long-tailed multi-label text classification

  2024cites this paper
• Exploring local interpretability in dimensionality reduction: Analysis and use cases

  2024cites this paper
• Multi-label learning on low label density sets with few examples

  2024cites this paper
• The Multiplex Classification Framework: Optimizing Multi-Label Classifiers Through Problem Transformation, Ontology Engineering, and Model Ensembling

  2024cites this paper
• Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go?

  2023cites this paper
• Automatic document classification via transformers for regulations compliance management in large utility companies

  2023cites this paper
• Extreme Multi-Label Classification for Ad Targeting using Factorization Machines

  2023influential citation
• Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning

  2023cites this paper
• On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues

  2023cites this paper
• MatchXML: An Efficient Text-Label Matching Framework for Extreme Multi-Label Text Classification

  2023cites this paper
• A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification

  2023cites this paper
• Identifying Vulnerable Third-Party Libraries from Textual Descriptions of Vulnerabilities and Libraries

  2023cites this paper
• The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study

  2023cites this paper
• Text classification using embeddings: a survey

  2023cites this paper
• Label Embedding via Low-Coherence Matrices

  2023cites this paper
• APIHarvest: Harvesting API Information from Various Online Sources

  2023cites this paper
• A Hierarchical Decoder Architecture for Multilevel Fine-Grained Disaster Detection

  2023cites this paper
• Efficacy of Dual-Encoders for Extreme Multi-Label Classification

  2023cites this paper
• CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports

  2023cites this paper
• Dual-Encoders for Extreme Multi-label Classification

  2023cites this paper
• Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata

  2023cites this paper
• Generalized test utilities for long-tail performance in extreme multi-label classification

  2023cites this paper
• JobXMLC: EXtreme Multi-Label Classification of Job Skills with Graph Neural Networks

  2023cites this paper
• Light-weight Deep Extreme Multilabel Classification

  2023cites this paper
• Deep Encoders with Auxiliary Parameters for Extreme Classification

  2023cites this paper
• PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation

  2023cites this paper
• Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification

  2023cites this paper
• Recent Advances in Hierarchical Multi-label Text Classification: A Survey

  2023cites this paper
• Scalable Label Distribution Learning for Multi-Label Classification

  2023cites this paper
• Identifying Vulnerable Third-Party Java Libraries from Textual Descriptions of Vulnerabilities and Libraries

  2023cites this paper
• Fast block-wise partitioning for extreme multi-label classification

  2023influential citation
• BoostXML: Gradient Boosting for Extreme Multilabel Text Classification With Tail Labels

  2023cites this paper
• BGNN-XML: Bilateral Graph Neural Networks for Extreme Multi-Label Text Classification

  2023influential citation
• Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 500k Labels on a Single Commodity GPU

  2023cites this paper
• Multi-Label Classification With Hyperdimensional Representations

  2023cites this paper
• KEIC: A tag recommendation framework with knowledge enhancement and interclass correlation

  2023cites this paper
• FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning

  2023cites this paper
• A Threat Intelligence Analysis Method Based on Feature Weighting and BERT-BiGRU for Industrial Internet of Things

  2022cites this paper
• Set-valued prediction in hierarchical classification with constrained representation complexity

  2022cites this paper
• Search Filter Ranking with Language-Aware Label Embeddings

  2022influential citation
• GUDN: A novel guide network for extreme multi-label text classification

  2022cites this paper
• A Riemannian Approach to Extreme Classification Problems

  2022cites this paper
• Automated Identification of Libraries from Vulnerability Data: Can We Do Better?

  2022influential citation
• Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification

  2022influential citation
• LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-label Text Classification

  2022cites this paper
• Surprising Effectiveness of Random Feature Embeddings in eXtreme Classification

  2022influential citation
• XRR: Extreme multi-label text classification with candidate retrieving and deep ranking

  2022cites this paper
• Multi-Label Quantification

  2022cites this paper
• CinPatent: Datasets for Patent Classification

  2022influential citation
• GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classification

  2022cites this paper
• CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification

  2022cites this paper
• Long-tail Mixup for Extreme Multi-label Classification

  2022cites this paper
• Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning

  2022cites this paper
• Regret Bounds for Multilabel Classification in Sparse Label Regimes

  2022cites this paper
• Prompt Tuning for Multi-Label Text Classification: How to Link Exercises to Knowledge Concepts?

  2022cites this paper
• A Survey on Extreme Multi-label Learning

  2022influential citation
• Hierarchical User Intention–Preference for Sequential Recommendation with Relation-Aware Heterogeneous Information Network Embedding

  2022cites this paper
• Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders

  2022cites this paper
• Multi-label Text Classification for Public Procurement in Spanish

  2022cites this paper
• Case Study: Applying Decision Focused Learning in the Real World

  2022cites this paper
• Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification

  2022cites this paper
• NGAME: Negative Mining-aware Mini-batching for Extreme Classification

  2022cites this paper
• On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification

  2022cites this paper
• On the Generalization Analysis of Adversarial Learning

  2022cites this paper
• Speeding-up one-versus-all training for extreme classification via mean-separating initialization

  2022cites this paper
• Knowledge Powered Cooperative Semantic Fusion for Patent Classification

  2021cites this paper