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Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007
Euclidean Embedding of Co-occurrence Data JMLR 2007
Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization JMLR 2007
AdaBoost is Consistent JMLR 2007
On the Representer Theorem and Equivalent Degrees of Freedom of SVR JMLR 2007
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data JMLR 2007
VC Theory of Large Margin Multi-Category Classifiers JMLR 2007
Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners JMLR 2007
Hierarchical Average Reward Reinforcement Learning JMLR 2007
Ranking the Best Instances JMLR 2007
Stagewise Lasso JMLR 2007
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007
Semantic Modeling of Places using Objects RSS 2007
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability RSS 2007
Predicting Partial Paths from Planning Problem Parameters RSS 2007
Adaptive Non-Stationary Kernel Regression for Terrain Modeling RSS 2007
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning RSS 2007
Learning omnidirectional path following using dimensionality reduction RSS 2007
Ordinal Regression by Extended Binary Classification NIPS 2006
Learning to Traverse Image Manifolds NIPS 2006
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Multi-Task Feature Learning NIPS 2006