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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)

Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 Multi-Scale Spectral Decomposition of Massive Graphs NeurIPS 2014 Multiscale Topological Trajectory Classification with Persistent Homology RSS 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images CVPR 2014 Multivariate Maximal Correlation Analysis ICML 2014 Multivariate Regression with Calibration NeurIPS 2014 Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NeurIPS 2014 Multiview Shape and Reflectance from Natural Illumination CVPR 2014 Multi-View Super Vector for Action Recognition CVPR 2014 Narrowing the Gap: Random Forests In Theory and In Practice ICML 2014 Nearest Neighbors Using Compact Sparse Codes ICML 2014 Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NeurIPS 2014 Near-Optimally Teaching the Crowd to Classify ICML 2014 Near-optimal sample compression for nearest neighbors NeurIPS 2014 Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NeurIPS 2014 Neural Decision Forests for Semantic Image Labelling CVPR 2014 Neural Variational Inference and Learning in Belief Networks ICML 2014 Neural Word Embedding as Implicit Matrix Factorization NeurIPS 2014 New Algorithms for Learning Incoherent and Overcomplete Dictionaries COLT 2014 New Bounds on Compressive Linear Least Squares Regression AISTATS 2014 New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014 New Results for Random Walk Learning JMLR 2014 New Rules for Domain Independent Lifted MAP Inference NeurIPS 2014