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
21
30
55
40
51
225
219
249
257
357
364
480
942
818
966
1,394
2,092
3,114
4,415
4,853
5,064
5,371
5,992
6,412
5,823
1,475
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Spherical Random Features for Polynomial Kernels
NeurIPS 2015
State Space Methods for Efficient Inference in Student-t Process Regression
AISTATS 2015
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares
ICML 2015
Statistical Model Criticism using Kernel Two Sample Tests
NeurIPS 2015
Statistical Topological Data Analysis - A Kernel Perspective
NeurIPS 2015
Statistical Unfolded Logic Learning
ACML 2015
Stay on path: PCA along graph paths
ICML 2015
Stochastic Block Transition Models for Dynamic Networks
AISTATS 2015
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization
ICML 2015
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
ICML 2015
Streaming Min-max Hypergraph Partitioning
NeurIPS 2015
Streaming Sparse Principal Component Analysis
ICML 2015
Streaming Variational Inference for Bayesian Nonparametric Mixture Models
AISTATS 2015
Strong Consistency of the Prototype Based Clustering in Probabilistic Space
JMLR 2015
Structural Kernel Learning for Large Scale Multiclass Object Co-Detection
ICCV 2015
Structural Maxent Models
ICML 2015
Structural Sparse Tracking
CVPR 2015
Structured Feature Selection
ICCV 2015
Structured Sparse Subspace Clustering: A Unified Optimization Framework
CVPR 2015
Subgraph Decomposition for Multi-Target Tracking
CVPR 2015
Submodular Hamming Metrics
NeurIPS 2015
Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's
NeurIPS 2015
Subsampling Methods for Persistent Homology
ICML 2015
Subset Selection by Pareto Optimization
NeurIPS 2015
Subspace Clustering by Mixture of Gaussian Regression
CVPR 2015