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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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Papers (including subtopics)

Optimal Single-Class Classification Strategies NeurIPS 2006 Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis JMLR 2006 Ordinal Regression by Extended Binary Classification NeurIPS 2006 Outdoor Path Labeling Using Polynomial Mahalanobis Distance RSS 2006 Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006 Part-based Probabilistic Point Matching using Equivalence Constraints NeurIPS 2006 Particle Filtering for Nonparametric Bayesian Matrix Factorization NeurIPS 2006 Pattern Recognition for Conditionally Independent Data JMLR 2006 PG-means: learning the number of clusters in data NeurIPS 2006 Predicting spike times from subthreshold dynamics of a neuron NeurIPS 2006 Prediction on a Graph with a Perceptron NeurIPS 2006 QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006 Qualitative Hybrid Control of Dynamic Bipedal Walking RSS 2006 Quantile Regression Forests JMLR 2006 Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NeurIPS 2006 Rearrangement Clustering: Pitfalls, Remedies, and Applications JMLR 2006 Recursive Attribute Factoring NeurIPS 2006 Recursive ICA NeurIPS 2006 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006 Relational Learning with Gaussian Processes NeurIPS 2006 Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006 Segmental Hidden Markov Models with Random Effects for Waveform Modeling JMLR 2006 Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NeurIPS 2006 Similarity by Composition NeurIPS 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006