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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)

Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013 Sparse Additive Text Models with Low Rank Background NeurIPS 2013 Sparse coding for multitask and transfer learning ICML 2013 Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013 Sparse Inverse Covariance Estimation with Calibration NeurIPS 2013 Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NeurIPS 2013 Sparse Output Coding for Large-Scale Visual Recognition CVPR 2013 Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NeurIPS 2013 Sparse PCA through Low-rank Approximations ICML 2013 Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013 Sparse projections onto the simplex ICML 2013 Sparse Quantization for Patch Description CVPR 2013 Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory JMLR 2013 Sparse Single-Index Model JMLR 2013 Sparse Subspace Denoising for Image Manifolds CVPR 2013 Sparse Uncorrelated Linear Discriminant Analysis ICML 2013 Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person ICCV 2013 Sparsity-Based Generalization Bounds for Predictive Sparse Coding ICML 2013 Sparsity Regret Bounds for Individual Sequences in Online Linear Regression JMLR 2013 Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013 Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013 Spectral methods for neural characterization using generalized quadratic models NeurIPS 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NeurIPS 2013 Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing ICCV 2013