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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)

The Rate of Convergence of Adaboost COLT 2011
Neyman-Pearson classification under a strict constraint COLT 2011
Sequential Event Prediction with Association Rules COLT 2011
Optimal aggregation of affine estimators COLT 2011
Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011
Adaptive Density Level Set Clustering COLT 2011
The Sample Complexity of Dictionary Learning COLT 2011
Minimax Algorithm for Learning Rotations COLT 2011
Improving Bilingual Projections via Sparse Covariance Matrices EMNLP 2011
Improved Moves for Truncated Convex Models JMLR 2011
CARP: Software for Fishing Out Good Clustering Algorithms JMLR 2011
Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011
Training SVMs Without Offset JMLR 2011
Logistic Stick-Breaking Process JMLR 2011
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs JMLR 2011
Operator Norm Convergence of Spectral Clustering on Level Sets JMLR 2011
Posterior Sparsity in Unsupervised Dependency Parsing JMLR 2011
Learning Multi-modal Similarity JMLR 2011
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning JMLR 2011
Variable Sparsity Kernel Learning JMLR 2011
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011
Efficient Structure Learning of Bayesian Networks using Constraints JMLR 2011
Information, Divergence and Risk for Binary Experiments JMLR 2011
Learning Transformation Models for Ranking and Survival Analysis JMLR 2011
Forest Density Estimation JMLR 2011