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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)

Bayesian learning of joint distributions of objects AISTATS 2013 Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Better Mixing via Deep Representations ICML 2013 Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications JMLR 2013 Beyond Pairwise: Provably Fast Algorithms for Approximate k-Way Similarity Search NeurIPS 2013 Beyond Sentiment: The Manifold of Human Emotions AISTATS 2013 BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification CVPR 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs CVPR 2013 Binary Code Ranking with Weighted Hamming Distance CVPR 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification CVPR 2013 Blind Signal Separation in the Presence of Gaussian Noise COLT 2013 Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013 Block-Coordinate Frank-Wolfe Optimization for Structural SVMs ICML 2013 Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013 Blocks That Shout: Distinctive Parts for Scene Classification CVPR 2013 Boosting Binary Keypoint Descriptors CVPR 2013 Boosting with the Logistic Loss is Consistent COLT 2013 Breaking the Small Cluster Barrier of Graph Clustering ICML 2013 Bringing Semantics into Focus Using Visual Abstraction CVPR 2013 B-test: A Non-parametric, Low Variance Kernel Two-sample Test NeurIPS 2013 BudgetedSVM: A Toolbox for Scalable SVM Approximations JMLR 2013 Camera Alignment Using Trajectory Intersections in Unsynchronized Videos ICCV 2013