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)
Time-Varying Dynamic Bayesian Networks
NeurIPS 2009
Toward Provably Correct Feature Selection in Arbitrary Domains
NeurIPS 2009
Tracking Dynamic Sources of Malicious Activity at Internet Scale
NeurIPS 2009
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
NeurIPS 2009
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model
JMLR 2009
Universal Kernel-Based Learning with Applications to Regular Languages
JMLR 2009
Unsupervised discovery of object classes from range data using latent Dirichlet allocation
RSS 2009
Unsupervised Feature Selection for the k-means Clustering Problem
NeurIPS 2009
Using Local Dependencies within Batches to Improve Large Margin Classifiers
JMLR 2009
Variational Gaussian-process factor analysis for modeling spatio-temporal data
NeurIPS 2009
When Is There a Representer Theorem? Vector Versus Matrix Regularizers
JMLR 2009
Which graphical models are difficult to learn?
NeurIPS 2009
White Functionals for Anomaly Detection in Dynamical Systems
NeurIPS 2009
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise
NeurIPS 2009
A Bahadur Representation of the Linear Support Vector Machine
JMLR 2008
Adaptive Body Scheme Models for Robust Robotic Manipulation
RSS 2008
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
NeurIPS 2008
Adaptive Martingale Boosting
NeurIPS 2008
Adaptive Template Matching with Shift-Invariant Semi-NMF
NeurIPS 2008
Aggregation of SVM Classifiers Using Sobolev Spaces
JMLR 2008
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
JMLR 2008
A Library for Locally Weighted Projection Regression
JMLR 2008
A Massively Parallel Digital Learning Processor
NeurIPS 2008
A mixture model for the evolution of gene expression in non-homogeneous datasets
NeurIPS 2008
A Moment Bound for Multi-hinge Classifiers
JMLR 2008