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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)

Probabilistic Low-Rank Subspace Clustering NeurIPS 2012 Probabilistic n-Choose-k Models for Classification and Ranking NeurIPS 2012 Projection Retrieval for Classification NeurIPS 2012 Proper losses for learning from partial labels NeurIPS 2012 Protocols for Learning Classifiers on Distributed Data AISTATS 2012 Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NeurIPS 2012 QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization ACML 2012 Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging NeurIPS 2012 Query Strategies for Evading Convex-Inducing Classifiers JMLR 2012 Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs AISTATS 2012 Random Design Analysis of Ridge Regression COLT 2012 Random Feature Maps for Dot Product Kernels AISTATS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Randomized Optimum Models for Structured Prediction AISTATS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression RSS 2012 Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor RSS 2012 Recognizing Activities by Attribute Dynamics NeurIPS 2012 Recovery of Sparse Probability Measures via Convex Programming NeurIPS 2012 Reducing statistical time-series problems to binary classification NeurIPS 2012 Refinement of Operator-valued Reproducing Kernels JMLR 2012 Regression for sets of polynomial equations AISTATS 2012 Regularization Techniques for Learning with Matrices JMLR 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 Repulsive Mixtures NeurIPS 2012