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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)

Better than least squares: comparison of objective functions for estimating linear-nonlinear models NeurIPS 2007 Bilinear Discriminant Component Analysis JMLR 2007 Blind channel identification for speech dereverberation using l1-norm sparse learning NeurIPS 2007 Boosted Classification Trees and Class Probability/Quantile Estimation JMLR 2007 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Boosting the Area under the ROC Curve NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Catching Change-points with Lasso NeurIPS 2007 Characterizing the Function Space for Bayesian Kernel Models JMLR 2007 Classification in Networked Data: A Toolkit and a Univariate Case Study JMLR 2007 Classification via Minimum Incremental Coding Length (MICL) NeurIPS 2007 Cluster Stability for Finite Samples NeurIPS 2007 COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Colored Maximum Variance Unfolding NeurIPS 2007 Combined discriminative and generative articulated pose and non-rigid shape estimation NeurIPS 2007 Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" JMLR 2007 Compressed Regression NeurIPS 2007 Compression-Based Averaging of Selective Naive Bayes Classifiers JMLR 2007 Concave Learners for Rankboost JMLR 2007 Configuration Estimates Improve Pedestrian Finding NeurIPS 2007 Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007 Consistent Minimization of Clustering Objective Functions NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Convex Learning with Invariances NeurIPS 2007