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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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'10
'15
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'25

Papers (including subtopics)

On Bootstrapping the ROC Curve NeurIPS 2008 On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NeurIPS 2008 One sketch for all: Theory and Application of Conditional Random Sampling NeurIPS 2008 Online Learning of Complex Prediction Problems Using Simultaneous Projections JMLR 2008 Online Metric Learning and Fast Similarity Search NeurIPS 2008 Online Prediction on Large Diameter Graphs NeurIPS 2008 On Relevant Dimensions in Kernel Feature Spaces JMLR 2008 On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NeurIPS 2008 On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization NeurIPS 2008 On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NeurIPS 2008 On the Efficient Minimization of Classification Calibrated Surrogates NeurIPS 2008 On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008 On the Reliability of Clustering Stability in the Large Sample Regime NeurIPS 2008 On the Suitable Domain for SVM Training in Image Coding JMLR 2008 Optimal Response Initiation: Why Recent Experience Matters NeurIPS 2008 Optimal Solutions for Sparse Principal Component Analysis JMLR 2008 Overlaying classifiers: a practical approach for optimal ranking NeurIPS 2008 Partially Observed Maximum Entropy Discrimination Markov Networks NeurIPS 2008 Performance analysis for L\_2 kernel classification NeurIPS 2008 Phase transitions for high-dimensional joint support recovery NeurIPS 2008 Predicting the Geometry of Metal Binding Sites from Protein Sequence NeurIPS 2008 Predictive Indexing for Fast Search NeurIPS 2008 Privacy-preserving logistic regression NeurIPS 2008 Probabilistic Characterization of Random Decision Trees JMLR 2008 Probabilistic detection of short events, with application to critical care monitoring NeurIPS 2008