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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)

Robust Stochastic Principal Component Analysis AISTATS 2014 Robust Subspace Segmentation with Block-diagonal Prior CVPR 2014 Robust Tensor Decomposition with Gross Corruption NeurIPS 2014 Rounding-based Moves for Metric Labeling NeurIPS 2014 Saddle Points and Accelerated Perceptron Algorithms ICML 2014 Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014 Sample-based approximate regularization ICML 2014 Sample Compression for Multi-label Concept Classes COLT 2014 Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014 Scalable Collaborative Bayesian Preference Learning AISTATS 2014 Scalable Inference for Neuronal Connectivity from Calcium Imaging NeurIPS 2014 Scalable Kernel Methods via Doubly Stochastic Gradients NeurIPS 2014 Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices NeurIPS 2014 Scalable Multitask Representation Learning for Scene Classification CVPR 2014 Scalable Non-linear Learning with Adaptive Polynomial Expansions NeurIPS 2014 Scalable Semidefinite Relaxation for Maximum A Posterior Estimation ICML 2014 Scalable Variational Bayesian Matrix Factorization with Side Information AISTATS 2014 Scale-space Processing Using Polynomial Representations CVPR 2014 Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch AISTATS 2014 Scaling Nonparametric Bayesian Inference via Subsample-Annealing AISTATS 2014 Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014 Scaling-up Importance Sampling for Markov Logic Networks NeurIPS 2014 SCAMS: Simultaneous Clustering and Model Selection CVPR 2014 Scene Labeling Using Beam Search Under Mutex Constraints CVPR 2014 SeamSeg: Video Object Segmentation using Patch Seams CVPR 2014