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)
Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach
ICCV 2013
Compressed Hashing
CVPR 2013
Compressive Feature Learning
NeurIPS 2013
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation
CVPR 2013
Computation-Risk Tradeoffs for Covariance-Thresholded Regression
ICML 2013
Computing the M Most Probable Modes of a Graphical Model
AISTATS 2013
Concurrent Action Detection with Structural Prediction
ICCV 2013
Conditional Random Fields via Univariate Exponential Families
NeurIPS 2013
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems
JMLR 2013
Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds
CVPR 2013
Consensus Ranking with Signed Permutations
AISTATS 2013
Consistency of Online Random Forests
ICML 2013
Consistency of Robust Kernel Density Estimators
COLT 2013
Consistency versus Realizable H-Consistency for Multiclass Classification
ICML 2013
Constrained Clustering and Its Application to Face Clustering in Videos
CVPR 2013
Constraints as Features
CVPR 2013
Construction of Approximation Spaces for Reinforcement Learning
JMLR 2013
Context-Aware Modeling and Recognition of Activities in Video
CVPR 2013
Contextual Hypergraph Modeling for Salient Object Detection
ICCV 2013
Continuous Inference in Graphical Models with Polynomial Energies
CVPR 2013
Contrastive Learning Using Spectral Methods
NeurIPS 2013
Convex Adversarial Collective Classification
ICML 2013
Convex and Scalable Weakly Labeled SVMs
JMLR 2013
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses
NeurIPS 2013
Convex Collective Matrix Factorization
AISTATS 2013