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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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Papers (including subtopics)

Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot RSS 2008 Cascaded Classification Models: Combining Models for Holistic Scene Understanding NeurIPS 2008 Characteristic Kernels on Groups and Semigroups NeurIPS 2008 Characterizing neural dependencies with copula models NeurIPS 2008 Classification with a Reject Option using a Hinge Loss JMLR 2008 Classifying Dynamic Objects: An Unsupervised Learning Approach RSS 2008 Closed Sets for Labeled Data JMLR 2008 Clustered Multi-Task Learning: A Convex Formulation NeurIPS 2008 Clustering Sensor Data for Terrain Identification using a Windowless Algorithm RSS 2008 Clustering via LP-based Stabilities NeurIPS 2008 Clusters and Coarse Partitions in LP Relaxations NeurIPS 2008 Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2008 Consistency of Random Forests and Other Averaging Classifiers JMLR 2008 Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008 Consistency of Trace Norm Minimization JMLR 2008 Continuously-adaptive discretization for message-passing algorithms NeurIPS 2008 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NeurIPS 2008 Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines JMLR 2008 Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NeurIPS 2008 Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NeurIPS 2008 Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods JMLR 2008 Cyclizing Clusters via Zeta Function of a Graph NeurIPS 2008 Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008 Deflation Methods for Sparse PCA NeurIPS 2008 Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NeurIPS 2008