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)
Joint Estimation of Multiple Precision Matrices with Common Structures
JMLR 2015
Jointly Learning Heterogeneous Features for RGB-D Activity Recognition
CVPR 2015
Joint Multi-Feature Spatial Context for Scene Recognition on the Semantic Manifold
CVPR 2015
Joint Optimization of Segmentation and Color Clustering
ICCV 2015
Just Noticeable Defocus Blur Detection and Estimation
CVPR 2015
Kernel Fusion for Better Image Deblurring
CVPR 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
ICML 2015
K-hyperplane Hinge-Minimax Classifier
ICML 2015
KL Divergence Based Agglomerative Clustering for Automated Vitiligo Grading
CVPR 2015
kNN Hashing With Factorized Neighborhood Representation
ICCV 2015
Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction
CVPR 2015
Landmarking Manifolds with Gaussian Processes
ICML 2015
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation
CVPR 2015
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
NeurIPS 2015
Large-scale probabilistic predictors with and without guarantees of validity
NeurIPS 2015
Largest Source Subset Selection for Instance Transfer
ACML 2015
Lasso Screening Rules via Dual Polytope Projection
JMLR 2015
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
NeurIPS 2015
Latent feature regression for multivariate count data
AISTATS 2015
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
ICML 2015
Latent Trees for Estimating Intensity of Facial Action Units
CVPR 2015
Learnability of Solutions to Conjunctive Queries: The Full Dichotomy
COLT 2015
Learning a Convolutional Neural Network for Non-Uniform Motion Blur Removal
CVPR 2015
Learning a Descriptor-Specific 3D Keypoint Detector
ICCV 2015
Learning a Discriminative Model for the Perception of Realism in Composite Images
ICCV 2015