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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)

Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation AISTATS 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012 Facilitating Score and Causal Inference Trees for Large Observational Studies JMLR 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Factoring nonnegative matrices with linear programs NeurIPS 2012 Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012 Factorized Diffusion Map Approximation AISTATS 2012 Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012 Fast Variational Mode-Seeking AISTATS 2012 Feature-aware Label Space Dimension Reduction for Multi-label Classification NeurIPS 2012 Feature-Based Prediction of Trajectories for Socially Compliant Navigation RSS 2012 Feature Selection via Dependence Maximization JMLR 2012 FFT-based Terrain Segmentation for Underwater Mapping RSS 2012 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NeurIPS 2012 Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs JMLR 2012 Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NeurIPS 2012 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012 From Deformations to Parts: Motion-based Segmentation of 3D Objects NeurIPS 2012 Fused sparsity and robust estimation for linear models with unknown variance NeurIPS 2012