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)
Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule
JMLR 2014
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results
COLT 2014
Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data
JMLR 2014
Effective String Processing and Matching for Author Disambiguation
JMLR 2014
Efficiency of conformalized ridge regression
COLT 2014
Efficient Algorithms for Robust One-bit Compressive Sensing
ICML 2014
Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions
JMLR 2014
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function
ICML 2014
Efficient Boosted Exemplar-based Face Detection
CVPR 2014
Efficient Dimensionality Reduction for High-Dimensional Network Estimation
ICML 2014
Efficient Distributed Topic Modeling with Provable Guarantees
AISTATS 2014
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials
NeurIPS 2014
Efficient Learning and Planning with Compressed Predictive States
JMLR 2014
Efficient Learning of Mahalanobis Metrics for Ranking
ICML 2014
Efficiently Enforcing Diversity in Multi-Output Structured Prediction
AISTATS 2014
Efficient Nonlinear Markov Models for Human Motion
CVPR 2014
Efficient Optimization for Average Precision SVM
NeurIPS 2014
Efficient Sample Mining for Object Detection
ACML 2014
Efficient Sampling for Learning Sparse Additive Models in High Dimensions
NeurIPS 2014
Efficient Structured Matrix Rank Minimization
NeurIPS 2014
Efficient Structured Parsing of Facades Using Dynamic Programming
CVPR 2014
Elementary Estimators for Graphical Models
NeurIPS 2014
Elementary Estimators for High-Dimensional Linear Regression
ICML 2014
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments
ICML 2014
Ellipsoidal Rounding for Nonnegative Matrix Factorization Under Noisy Separability
JMLR 2014