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)
Support Vector Machine Active Learning with Applications to Text Classification
JMLR 2001
SVMTorch: Support Vector Machines for Large-Scale Regression Problems
JMLR 2001
Tracking the Best Linear Predictor
JMLR 2001
Uniform Object Generation for Optimizing One-class Classifiers
JMLR 2001
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization
JMLR 2000
Learning Evaluation Functions to Improve Optimization by Local Search
JMLR 2000
Learning with Mixtures of Trees
JMLR 2000
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
JMLR 2000