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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
'5
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'15
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'25

Papers (including subtopics)

Efficient Learning of Sparse Representations with an Energy-Based Model NeurIPS 2006 Efficient sparse coding algorithms NeurIPS 2006 Efficient Structure Learning of Markov Networks using L_1-Regularization NeurIPS 2006 Emergence of conjunctive visual features by quadratic independent component analysis NeurIPS 2006 Enhancing Supervised Terrain Classification with Predictive Unsupervised Learning RSS 2006 Ensemble Pruning Via Semi-definite Programming JMLR 2006 Environment Identification for a Running Robot Using Inertial and Actuator Cues RSS 2006 Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006 Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006 Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006 Fast Computation of Graph Kernels NeurIPS 2006 Fast Discriminative Visual Codebooks using Randomized Clustering Forests NeurIPS 2006 Fast Iterative Kernel PCA NeurIPS 2006 Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006 Fundamental Limitations of Spectral Clustering NeurIPS 2006 Gait Regulation and Feedback on a Robotic Climbing Hexapod RSS 2006 Gaussian and Wishart Hyperkernels NeurIPS 2006 Gaussian Processes for Signal Strength-Based Location Estimation RSS 2006 Generalized Bradley-Terry Models and Multi-Class Probability Estimates JMLR 2006 Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NeurIPS 2006 Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NeurIPS 2006 Geometric entropy minimization (GEM) for anomaly detection and localization NeurIPS 2006 Graph Laplacian Regularization for Large-Scale Semidefinite Programming NeurIPS 2006 Hierarchical Dirichlet Processes with Random Effects NeurIPS 2006 High-Dimensional Graphical Model Selection Using ℓ_1-Regularized Logistic Regression NeurIPS 2006