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)
Incremental Clustering: The Case for Extra Clusters
NeurIPS 2014
Incremental Learning of NCM Forests for Large-Scale Image Classification
CVPR 2014
Incremental Local Gaussian Regression
NeurIPS 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures
AISTATS 2014
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers
NeurIPS 2014
Inferring Analogous Attributes
CVPR 2014
Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit
NeurIPS 2014
Inferring Unseen Views of People
CVPR 2014
Influence Function Learning in Information Diffusion Networks
ICML 2014
Information-Theoretic Characterization of Sparse Recovery
AISTATS 2014
Interpretable Sparse High-Order Boltzmann Machines
AISTATS 2014
Interval Insensitive Loss for Ordinal Classification
ACML 2014
Investigating Haze-relevant Features in A Learning Framework for Image Dehazing
CVPR 2014
Is Rotation a Nuisance in Shape Recognition?
CVPR 2014
Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI
CVPR 2014
Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis
CVPR 2014
Joint Inference of Multiple Label Types in Large Networks
ICML 2014
Jointly Informative Feature Selection
AISTATS 2014
Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction
CVPR 2014
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
NeurIPS 2014
Just-In-Time Learning for Fast and Flexible Inference
NeurIPS 2014
Kernel Mean Estimation and Stein Effect
ICML 2014
Kernel Mean Estimation via Spectral Filtering
NeurIPS 2014
Kernel-PCA Analysis of Surface Normals for Shape-from-Shading
CVPR 2014
K-means recovers ICA filters when independent components are sparse
ICML 2014