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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)

Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012 Multiresolution analysis on the symmetric group NeurIPS 2012 Multiresolution Deep Belief Networks AISTATS 2012 Multiresolution Mixture Modeling using Merging of Mixture Components ACML 2012 Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA NeurIPS 2012 Multi-Stage Classifier Design ACML 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Multi-Target Regression with Rule Ensembles JMLR 2012 Multi-Task Averaging NeurIPS 2012 Multi-task Regression using Minimal Penalties JMLR 2012 Multi-task Vector Field Learning NeurIPS 2012 Natural Images, Gaussian Mixtures and Dead Leaves NeurIPS 2012 Near-Optimal Algorithms for Online Matrix Prediction COLT 2012 Near-optimal Differentially Private Principal Components NeurIPS 2012 Newton-Like Methods for Sparse Inverse Covariance Estimation NeurIPS 2012 NIMFA : A Python Library for Nonnegative Matrix Factorization JMLR 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012 Nonlinear low-dimensional regression using auxiliary coordinates AISTATS 2012 Non-linear Metric Learning NeurIPS 2012 Non-parametric Approximate Dynamic Programming via the Kernel Method NeurIPS 2012 Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012 Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012