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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)

Human memory search as a random walk in a semantic network NeurIPS 2012 Identification of Recurrent Patterns in the Activation of Brain Networks NeurIPS 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Imitation Learning by Coaching NeurIPS 2012 Improved Sequence Classification Using Adaptive Segmental Sequence Alignment ACML 2012 Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012 Information Theoretic Model Validation for Spectral Clustering AISTATS 2012 Informative Priors for Markov Blanket Discovery AISTATS 2012 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 Isotropic Hashing NeurIPS 2012 Iterative ranking from pair-wise comparisons NeurIPS 2012 Iterative Reweighted Algorithms for Matrix Rank Minimization JMLR 2012 Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NeurIPS 2012 Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences JMLR 2012 Kernel Hyperalignment NeurIPS 2012 Kernel Latent SVM for Visual Recognition NeurIPS 2012 Key Instance Detection in Multi-Instance Learning ACML 2012 Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NeurIPS 2012 Large-scale Linear Support Vector Regression JMLR 2012 Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NeurIPS 2012 Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 Learning Algorithms for the Classification Restricted Boltzmann Machine JMLR 2012 Learning as MAP Inference in Discrete Graphical Models NeurIPS 2012