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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)

On the Efficiency of Data Collection for Crowdsourced Classification IJCAI 2018 On the Relationship between Data Efficiency and Error for Uncertainty Sampling ICML 2018 On the Relative Expressiveness of Bayesian and Neural Networks PGM 2018 On the Spectrum of Random Features Maps of High Dimensional Data ICML 2018 On the Statistical Efficiency of Compositional Nonparametric Prediction AISTATS 2018 On Tight Bounds for the Lasso JMLR 2018 On Tree-Based Neural Sentence Modeling EMNLP 2018 Open Category Detection with PAC Guarantees ICML 2018 OpenEnsembles: A Python Resource for Ensemble Clustering JMLR 2018 OpenKE: An Open Toolkit for Knowledge Embedding EMNLP 2018 Open problem: Improper learning of mixtures of Gaussians COLT 2018 Optimal Bounds for Johnson-Lindenstrauss Transformations JMLR 2018 Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods ICML 2018 Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models COLT 2018 Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces ICML 2018 Optimal Subsampling with Influence Functions NeurIPS 2018 Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data ICML 2018 Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis ICML 2018 Orthogonal Matching Pursuit for Text Classification EMNLP 2018 Orthographic Features for Bilingual Lexicon Induction ACL 2018 Outlier Detection and Robust Estimation in Nonparametric Regression AISTATS 2018 Out-of-sample extension of graph adjacency spectral embedding ICML 2018 Out-of-the-box Universal Romanization Tool uroman ACL 2018 Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NeurIPS 2018 Overlapping Clustering Models, and One (class) SVM to Bind Them All NeurIPS 2018