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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 Regression via Hard Thresholding NeurIPS 2015 Robust Saliency Detection via Regularized Random Walks Ranking CVPR 2015 Robust sketching for multiple square-root LASSO problems AISTATS 2015 Robust Spectral Inference for Joint Stochastic Matrix Factorization NeurIPS 2015 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015 Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices ICML 2015 Saliency, Scale and Information: Towards a Unifying Theory NeurIPS 2015 Salient Object Subitizing CVPR 2015 Sample Complexity of Learning Mahalanobis Distance Metrics NeurIPS 2015 Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015 Scalable Inference for Gaussian Process Models with Black-Box Likelihoods NeurIPS 2015 Scalable Model Selection for Large-Scale Factorial Relational Models ICML 2015 Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval ICCV 2015 Scalable Nonparametric Multiway Data Analysis AISTATS 2015 Scalable Object Detection by Filter Compression With Regularized Sparse Coding CVPR 2015 Scalable Semi-Supervised Aggregation of Classifiers NeurIPS 2015 Scalable Variational Gaussian Process Classification AISTATS 2015 Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NeurIPS 2015 Scene Classification With Semantic Fisher Vectors CVPR 2015 Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images CVPR 2015 Second-Order Non-Stationary Online Learning for Regression JMLR 2015 Secrets of GrabCut and Kernel K-Means ICCV 2015 Segregated Graphs and Marginals of Chain Graph Models NeurIPS 2015 Self Scaled Regularized Robust Regression CVPR 2015 Semantic Component Analysis ICCV 2015