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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)

Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NeurIPS 2009 Efficient Learning using Forward-Backward Splitting NeurIPS 2009 Efficient Match Kernel between Sets of Features for Visual Recognition NeurIPS 2009 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Ensemble Nystrom Method NeurIPS 2009 Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NeurIPS 2009 Estimating Labels from Label Proportions JMLR 2009 Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods JMLR 2009 Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009 Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions JMLR 2009 Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out NeurIPS 2009 FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NeurIPS 2009 Factor Modeling for Advertisement Targeting NeurIPS 2009 Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection JMLR 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Fast Image Deconvolution using Hyper-Laplacian Priors NeurIPS 2009 Fast Learning from Non-i.i.d. Observations NeurIPS 2009 Fast, smooth and adaptive regression in metric spaces NeurIPS 2009 Fast subtree kernels on graphs NeurIPS 2009 Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination JMLR 2009 Free energy score space NeurIPS 2009