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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)

Divide-and-Conquer Matrix Factorization NeurIPS 2011 Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011 Double Updating Online Learning JMLR 2011 Dynamical segmentation of single trials from population neural data NeurIPS 2011 Efficient and Effective Visual Codebook Generation Using Additive Kernels JMLR 2011 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011 Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NeurIPS 2011 Efficient inference in matrix-variate Gaussian models with \iid observation noise NeurIPS 2011 Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NeurIPS 2011 Efficient Learning with Partially Observed Attributes JMLR 2011 Efficient Methods for Overlapping Group Lasso NeurIPS 2011 Efficient Structure Learning of Bayesian Networks using Constraints JMLR 2011 Efficient variable selection in support vector machines via the alternating direction method of multipliers AISTATS 2011 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011 Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits NeurIPS 2011 Empirical models of spiking in neural populations NeurIPS 2011 Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011 Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results ACML 2011 Estimating Probabilities in Recommendation Systems AISTATS 2011 Evaluating the inverse decision-making approach to preference learning NeurIPS 2011 Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011 Exploiting spatial overlap to efficiently compute appearance distances between image windows NeurIPS 2011 Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NeurIPS 2011 Fast b-matching via Sufficient Selection Belief Propagation AISTATS 2011 Fast and Accurate k-means For Large Datasets NeurIPS 2011