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)
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning
NeurIPS 2008
QUIC-SVD: Fast SVD Using Cosine Trees
NeurIPS 2008
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
JMLR 2008
Ranking Categorical Features Using Generalization Properties
JMLR 2008
Ranking Individuals by Group Comparisons
JMLR 2008
Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking
NeurIPS 2008
Reducing statistical dependencies in natural signals using radial Gaussianization
NeurIPS 2008
Regularized Co-Clustering with Dual Supervision
NeurIPS 2008
Regularized Learning with Networks of Features
NeurIPS 2008
Regularized Policy Iteration
NeurIPS 2008
Relative Margin Machines
NeurIPS 2008
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
NeurIPS 2008
Resolution Limits of Sparse Coding in High Dimensions
NeurIPS 2008
Risk Bounds for Randomized Sample Compressed Classifiers
NeurIPS 2008
Robust Kernel Principal Component Analysis
NeurIPS 2008
Robust Near-Isometric Matching via Structured Learning of Graphical Models
NeurIPS 2008
Robust Regression and Lasso
NeurIPS 2008
Scalable Algorithms for String Kernels with Inexact Matching
NeurIPS 2008
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization
NeurIPS 2008
Sequential effects: Superstition or rational behavior?
NeurIPS 2008
Shape-Based Object Localization for Descriptive Classification
NeurIPS 2008
Simple Local Models for Complex Dynamical Systems
NeurIPS 2008
SimpleMKL
JMLR 2008
Skill Characterization Based on Betweenness
NeurIPS 2008
Sparse Convolved Gaussian Processes for Multi-output Regression
NeurIPS 2008