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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)

Higher-Order Correlation Clustering for Image Segmentation NeurIPS 2011 History distribution matching method for predicting effectiveness of HIV combination therapies NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NeurIPS 2011 Improved Loss Bounds For Multiple Kernel Learning AISTATS 2011 Improved Moves for Truncated Convex Models JMLR 2011 Improving Bilingual Projections via Sparse Covariance Matrices EMNLP 2011 Improving Topic Coherence with Regularized Topic Models NeurIPS 2011 Inductive reasoning about chimeric creatures NeurIPS 2011 Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NeurIPS 2011 Inferring spike-timing-dependent plasticity from spike train data NeurIPS 2011 Infinite Latent SVM for Classification and Multi-task Learning NeurIPS 2011 Information, Divergence and Risk for Binary Experiments JMLR 2011 Information Rates of Nonparametric Gaussian Process Methods JMLR 2011 Information Theoretical Clustering via Semidefinite Programming AISTATS 2011 Iterative Learning for Reliable Crowdsourcing Systems NeurIPS 2011 Kernel Analysis of Deep Networks JMLR 2011 Kernel Bayes' Rule NeurIPS 2011 Kernel Belief Propagation AISTATS 2011 Kernel Embeddings of Latent Tree Graphical Models NeurIPS 2011 Kernel Regression in the Presence of Correlated Errors JMLR 2011 k-NN Regression Adapts to Local Intrinsic Dimension NeurIPS 2011 Laplacian Support Vector Machines Trained in the Primal JMLR 2011 Large Margin Hierarchical Classification with Mutually Exclusive Class Membership JMLR 2011 Large-Scale Category Structure Aware Image Categorization NeurIPS 2011