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)
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
ICML 2015
Fast Lifted MAP Inference via Partitioning
NeurIPS 2015
Fast Mixing for Discrete Point Processes
COLT 2015
Fast Orthogonal Projection Based on Kronecker Product
ICCV 2015
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms
NeurIPS 2015
Fast Randomized Kernel Ridge Regression with Statistical Guarantees
NeurIPS 2015
Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization
CVPR 2015
Fast Two-Sample Testing with Analytic Representations of Probability Measures
NeurIPS 2015
Feature-Budgeted Random Forest
ICML 2015
Feature Selection for Linear SVM with Provable Guarantees
AISTATS 2015
Filtered Feature Channels for Pedestrian Detection
CVPR 2015
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
ICML 2015
Fine-Grained Change Detection of Misaligned Scenes With Varied Illuminations
ICCV 2015
Fine-Grained Visual Categorization via Multi-Stage Metric Learning
CVPR 2015
Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture
CVPR 2015
Fixation Bank: Learning to Reweight Fixation Candidates
CVPR 2015
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
NeurIPS 2015
Fixed-point algorithms for learning determinantal point processes
ICML 2015
Flexible High-Dimensional Classification Machines and Their Asymptotic Properties
JMLR 2015
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement
CVPR 2015
From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding
CVPR 2015
From random walks to distances on unweighted graphs
NeurIPS 2015
From Word Embeddings To Document Distances
ICML 2015
Fully Connected Object Proposals for Video Segmentation
ICCV 2015
Fully Convolutional Networks for Semantic Segmentation
CVPR 2015