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)
PAC-Bayesian AUC classification and scoring
NeurIPS 2014
Parallel Feature Selection Inspired by Group Testing
NeurIPS 2014
Parallel Sampling of HDPs using Sub-Cluster Splits
NeurIPS 2014
Parsing Videos of Actions with Segmental Grammars
CVPR 2014
Partial Optimality by Pruning for MAP-inference with General Graphical Models
CVPR 2014
Partition-wise Linear Models
NeurIPS 2014
PatchMatch Based Joint View Selection and Depthmap Estimation
CVPR 2014
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression
AISTATS 2014
Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems
JMLR 2014
Pedestrian Detection in Low-resolution Imagery by Learning Multi-scale Intrinsic Motion Structures (MIMS)
CVPR 2014
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision
NeurIPS 2014
Persistence-based Structural Recognition
CVPR 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising
NeurIPS 2014
Photometric Stereo using Constrained Bivariate Regression for General Isotropic Surfaces
CVPR 2014
Piecewise Planar and Compact Floorplan Reconstruction from Images
CVPR 2014
Polya-gamma augmentations for factor models
ACML 2014
Predicting Matchability
CVPR 2014
Predicting Multiple Attributes via Relative Multi-task Learning
CVPR 2014
Predicting Useful Neighborhoods for Lazy Local Learning
NeurIPS 2014
Predicting User Annoyance Using Visual Attributes
CVPR 2014
Prediction and Clustering in Signed Networks: A Local to Global Perspective
JMLR 2014
Preserving Modes and Messages via Diverse Particle Selection
ICML 2014
Pre-training of Recurrent Neural Networks via Linear Autoencoders
NeurIPS 2014
Principal Component Analysis and Higher Correlations for Distributed Data
COLT 2014
Probabilistic low-rank matrix completion on finite alphabets
NeurIPS 2014