Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem JMLR 2002 Text Chunking based on a Generalization of Winnow JMLR 2002 Text Classification using String Kernels JMLR 2002 The Learning-Curve Sampling Method Applied to Model-Based Clustering JMLR 2002 The Set Covering Machine JMLR 2002 The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces JMLR 2002 Tracking a Small Set of Experts by Mixing Past Posteriors JMLR 2002 Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components JMLR 2002 A Generalized Kernel Approach to Dissimilarity-based Classification JMLR 2001 A New Approximate Maximal Margin Classification Algorithm JMLR 2001 Bayes Point Machines JMLR 2001 Class-Based Probability Estimation Using a Semantic Hierarchy NAACL 2001 Classes of Kernels for Machine Learning: A Statistics Perspective JMLR 2001 Efficient SVM Training Using Low-Rank Kernel Representations JMLR 2001 Exact Simplification of Support Vector Solutions JMLR 2001 Graph-Based Hierarchical Conceptual Clustering JMLR 2001 Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space JMLR 2001 Lagrangian Support Vector Machines JMLR 2001 One-Class SVMs for Document Classification JMLR 2001 On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001 On the Influence of the Kernel on the Consistency of Support Vector Machines JMLR 2001 On the Size of Convex Hulls of Small Sets JMLR 2001 Regularized Principal Manifolds JMLR 2001 Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001 Support Vector Clustering JMLR 2001