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)
Matching Bags of Regions in RGBD images
CVPR 2015
MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
CVPR 2015
Material Recognition from Heat Transfer given Varying Initial Conditions and Short-Duration Contact
RSS 2015
Material Recognition in the Wild With the Materials in Context Database
CVPR 2015
Matrix Backpropagation for Deep Networks With Structured Layers
ICCV 2015
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
JMLR 2015
Matrix Completion for Resolving Label Ambiguity
CVPR 2015
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
NeurIPS 2015
Matrix Completion Under Monotonic Single Index Models
NeurIPS 2015
Matrix Completion with Noisy Side Information
NeurIPS 2015
Maximally Informative Hierarchical Representations of High-Dimensional Data
AISTATS 2015
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets
NeurIPS 2015
Maximum Margin Partial Label Learning
ACML 2015
Maximum Persistency via Iterative Relaxed Inference With Graphical Models
CVPR 2015
Max-Margin Deep Generative Models
NeurIPS 2015
Max-Margin Majority Voting for Learning from Crowds
NeurIPS 2015
Max-Margin Zero-Shot Learning for Multi-class Classification
AISTATS 2015
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity
COLT 2015
M-Best-Diverse Labelings for Submodular Energies and Beyond
NeurIPS 2015
Membership Representation for Detecting Block-Diagonal Structure in Low-Rank or Sparse Subspace Clustering
CVPR 2015
Message Passing for Collective Graphical Models
ICML 2015
Metric Imitation by Manifold Transfer for Efficient Vision Applications
CVPR 2015
Metric recovery from directed unweighted graphs
AISTATS 2015
Mid-Level Deep Pattern Mining
CVPR 2015
Mind's Eye: A Recurrent Visual Representation for Image Caption Generation
CVPR 2015