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)
Mixability is Bayes Risk Curvature Relative to Log Loss
COLT 2011
Mixed Cumulative Distribution Networks
AISTATS 2011
Mixed-Variate Restricted Boltzmann Machines
ACML 2011
MSVMpack: A Multi-Class Support Vector Machine Package
JMLR 2011
MULAN: A Java Library for Multi-Label Learning
JMLR 2011
Multiclass Boosting: Theory and Algorithms
NeurIPS 2011
Multiclass Learnability and the ERM principle
COLT 2011
Multicore Gibbs Sampling in Dense, Unstructured Graphs
AISTATS 2011
Multi-label Active Learning with Auxiliary Learner
ACML 2011
Multi-label Classification with Error-correcting Codes
ACML 2011
Multi-Label Output Codes using Canonical Correlation Analysis
AISTATS 2011
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach
NeurIPS 2011
Multiple Instance Learning on Structured Data
NeurIPS 2011
Multiple Kernel Learning Algorithms
JMLR 2011
Multiscale Community Blockmodel for Network Exploration
AISTATS 2011
Multitask Sparsity via Maximum Entropy Discrimination
JMLR 2011
Multi-View Learning of Word Embeddings via CCA
NeurIPS 2011
Nearest Neighbor based Greedy Coordinate Descent
NeurIPS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP)
NeurIPS 2011
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
NeurIPS 2011
Neyman-Pearson Classification, Convexity and Stochastic Constraints
JMLR 2011
Neyman-Pearson classification under a strict constraint
COLT 2011
Noise Thresholds for Spectral Clustering
NeurIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression
NeurIPS 2011
Nonlinear Online Classification Algorithm with Probability Margin
ACML 2011