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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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'15
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'25

Papers (including subtopics)

A General Framework for Distributional Similarity EMNLP 2003 An Efficient Boosting Algorithm for Combining Preferences JMLR 2003 A Neural Probabilistic Language Model JMLR 2003 An Extensive Empirical Study of Feature Selection Metrics for Text Classification JMLR 2003 An Introduction to Variable and Feature Selection JMLR 2003 A Unified Framework for Model-based Clustering JMLR 2003 Benefitting from the Variables that Variable Selection Discards JMLR 2003 Beyond Independent Components: Trees and Clusters JMLR 2003 Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation JMLR 2003 Blind Source Separation via Generalized Eigenvalue Decomposition JMLR 2003 Concentration Inequalities for the Missing Mass and for Histogram Rule Error JMLR 2003 Dependence, Correlation and Gaussianity in Independent Component Analysis JMLR 2003 Designing Committees of Models through Deliberate Weighting of Data Points JMLR 2003 Dimensionality Reduction via Sparse Support Vector Machines JMLR 2003 Distributional Word Clusters vs. Words for Text Categorization JMLR 2003 Energy-Based Models for Sparse Overcomplete Representations JMLR 2003 Extensions to Metric-Based Model Selection JMLR 2003 Feature Extraction by Non-Parametric Mutual Information Maximization JMLR 2003 FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples JMLR 2003 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains JMLR 2003 Generalization Error Bounds for Bayesian Mixture Algorithms JMLR 2003 Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003 Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity JMLR 2003 ICA for Watermarking Digital Images JMLR 2003 ICA Using Spacings Estimates of Entropy JMLR 2003