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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)

Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014 Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks ICML 2014 Learning the Irreducible Representations of Commutative Lie Groups ICML 2014 Learning Time-Varying Coverage Functions NeurIPS 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Learning to Disentangle Factors of Variation with Manifold Interaction ICML 2014 Learning to Group Objects CVPR 2014 Learning with Augmented Multi-Instance View ACML 2014 Learning with Fredholm Kernels NeurIPS 2014 Learning with Pseudo-Ensembles NeurIPS 2014 Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014 Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition CVPR 2014 LIBOL: A Library for Online Learning Algorithms JMLR 2014 Linear and Parallel Learning of Markov Random Fields ICML 2014 Linear Ranking Analysis CVPR 2014 Linear Time Solver for Primal SVM ICML 2014 Linear-time training of nonlinear low-dimensional embeddings AISTATS 2014 Link Prediction in Graphs with Autoregressive Features JMLR 2014 Local algorithms for interactive clustering ICML 2014 Local Decorrelation For Improved Pedestrian Detection NeurIPS 2014 Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NeurIPS 2014 Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014 Locally Optimized Product Quantization for Approximate Nearest Neighbor Search CVPR 2014 Local Ordinal Embedding ICML 2014 Local Regularity-driven City-scale Facade Detection from Aerial Images CVPR 2014