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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)

Accounting for network effects in neuronal responses using L1 regularized point process models NeurIPS 2010 Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010 A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification JMLR 2010 Active Estimation of F-Measures NeurIPS 2010 Active Learning Applied to Patient-Adaptive Heartbeat Classification NeurIPS 2010 Active Learning by Querying Informative and Representative Examples NeurIPS 2010 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 A Dirty Model for Multi-task Learning NeurIPS 2010 A Discriminative Latent Model of Image Region and Object Tag Correspondence NeurIPS 2010 A Family of Penalty Functions for Structured Sparsity NeurIPS 2010 A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010 Agnostic Active Learning Without Constraints NeurIPS 2010 An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010 An analysis on negative curvature induced by singularity in multi-layer neural-network learning NeurIPS 2010 An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010 A New Probabilistic Model for Rank Aggregation NeurIPS 2010 An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA NeurIPS 2010 An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data JMLR 2010 A Novel Kernel for Learning a Neuron Model from Spike Train Data NeurIPS 2010 A Potential-based Framework for Online Multi-class Learning with Partial Feedback AISTATS 2010 Approximate Inference by Compilation to Arithmetic Circuits NeurIPS 2010 A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups NeurIPS 2010 A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NeurIPS 2010 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010 A Reduction from Apprenticeship Learning to Classification NeurIPS 2010