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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
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment ICML 2013 Capacity of strong attractor patterns to model behavioural and cognitive prototypes NeurIPS 2013 Capturing Global Semantic Relationships for Facial Action Unit Recognition ICCV 2013 Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid CVPR 2013 Cartesian K-Means CVPR 2013 Characterizing the Representer Theorem ICML 2013 Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories CVPR 2013 Classification of Tumor Histology via Morphometric Context CVPR 2013 Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013 Classifier Selection using the Predicate Depth JMLR 2013 Classifying With Confidence From Incomplete Information JMLR 2013 Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty JMLR 2013 Clustered Support Vector Machines AISTATS 2013 Clustering Oligarchies AISTATS 2013 Cluster Trees on Manifolds NeurIPS 2013 CODA: High Dimensional Copula Discriminant Analysis JMLR 2013 Codemaps - Segment, Classify and Search Objects Locally ICCV 2013 Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels ACML 2013 Collaborative Active Learning of a Kernel Machine Ensemble for Recognition ICCV 2013 Collective Stability in Structured Prediction: Generalization from One Example ICML 2013 Combining the Right Features for Complex Event Recognition ICCV 2013 Compete to Compute NeurIPS 2013 Complementary Projection Hashing ICCV 2013 Complex Event Detection via Multi-source Video Attributes CVPR 2013 Complexity Theoretic Lower Bounds for Sparse Principal Component Detection COLT 2013