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)
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling
JMLR 2007
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting
NeurIPS 2007
Measuring Differentiability: Unmasking Pseudonymous Authors
JMLR 2007
Measuring Neural Synchrony by Message Passing
NeurIPS 2007
Message Passing for Max-weight Independent Set
NeurIPS 2007
Minimax Regret Classifier for Imprecise Class Distributions
JMLR 2007
Mining Internet-Scale Software Repositories
NeurIPS 2007
Modeling homophily and stochastic equivalence in symmetric relational data
NeurIPS 2007
Modeling image patches with a directed hierarchy of Markov random fields
NeurIPS 2007
Modeling Natural Sounds with Modulation Cascade Processes
NeurIPS 2007
Modelling motion primitives and their timing in biologically executed movements
NeurIPS 2007
Multi-class Protein Classification Using Adaptive Codes
JMLR 2007
Multiple-Instance Pruning For Learning Efficient Cascade Detectors
NeurIPS 2007
Multi-Task Learning via Conic Programming
NeurIPS 2007
Nearest-Neighbor-Based Active Learning for Rare Category Detection
NeurIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
NeurIPS 2007
New Outer Bounds on the Marginal Polytope
NeurIPS 2007
Noise Tolerant Variants of the Perceptron Algorithm
JMLR 2007
Nonlinear Boosting Projections for Ensemble Construction
JMLR 2007
Non-parametric Modeling of Partially Ranked Data
NeurIPS 2007
Object Recognition by Scene Alignment
NeurIPS 2007
One-Pass Boosting
NeurIPS 2007
On higher-order perceptron algorithms
NeurIPS 2007
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability
RSS 2007
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
NeurIPS 2007