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)
Grassmann Averages for Scalable Robust PCA
CVPR 2014
Greedy Subspace Clustering
NeurIPS 2014
Ground Metric Learning
JMLR 2014
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction
NeurIPS 2014
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting
ICML 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
NeurIPS 2014
Hard-Margin Active Linear Regression
ICML 2014
Hardness of parameter estimation in graphical models
NeurIPS 2014
Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification
CVPR 2014
Head Pose Estimation Based on Multivariate Label Distribution
CVPR 2014
Heavy-tailed regression with a generalized median-of-means
ICML 2014
Hierarchical Feature Hashing for Fast Dimensionality Reduction
CVPR 2014
Hierarchical Quasi-Clustering Methods for Asymmetric Networks
ICML 2014
Hierarchical Subquery Evaluation for Active Learning on a Graph
CVPR 2014
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation
AISTATS 2014
Histograms of Pattern Sets for Image Classification and Object Recognition
CVPR 2014
How transferable are features in deep neural networks?
NeurIPS 2014
Human Action Recognition Based on Context-Dependent Graph Kernels
CVPR 2014
Human Body Shape Estimation Using a Multi-Resolution Manifold Forest
CVPR 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes
AISTATS 2014
Immediate, Scalable Object Category Detection
CVPR 2014
Improved Distributed Principal Component Analysis
NeurIPS 2014
Improved Multimodal Deep Learning with Variation of Information
NeurIPS 2014
Improving Markov Network Structure Learning Using Decision Trees
JMLR 2014
Incremental Activity Modeling and Recognition in Streaming Videos
CVPR 2014