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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)

Optimal Minimal Margin Maximization with Boosting ICML 2019 Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter ACML 2019 Optimal Projection Guided Transfer Hashing for Image Retrieval AAAI 2019 Optimal Sampling and Clustering in the Stochastic Block Model NeurIPS 2019 Optimal Sketching for Kronecker Product Regression and Low Rank Approximation NeurIPS 2019 Optimal Sparse Decision Trees NeurIPS 2019 Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up NeurIPS 2019 Optimal Transport-based Alignment of Learned Character Representations for String Similarity ACL 2019 Optimal Transport for structured data with application on graphs ICML 2019 Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees AAAI 2019 Optimizing a Speaker Embedding Extractor Through Backend-Driven Regularization Interspeech 2019 Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection NeurIPS 2019 Optimizing Generalized Rate Metrics with Three Players NeurIPS 2019 Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration CoRL 2019 Optimizing Speech-Input Length for Speaker-Independent Depression Classification Interspeech 2019 Optimizing Voice Activity Detection for Noisy Conditions Interspeech 2019 ORCA: A Matlab/Octave Toolbox for Ordinal Regression JMLR 2019 Orderly Subspace Clustering AAAI 2019 Order-Preserving Wasserstein Discriminant Analysis ICCV 2019 Ordinal Triplet Loss: Investigating Sleepiness Detection from Speech Interspeech 2019 Ornstein Auto-Encoders IJCAI 2019 Orthogonal Decomposition Network for Pixel-Wise Binary Classification CVPR 2019 Orthogonality-Promoting Dictionary Learning via Bayesian Inference AAAI 2019 Orthogonal Random Forest for Causal Inference ICML 2019 Orwellian-times at SemEval-2019 Task 4: A Stylistic and Content-based Classifier SemEval 2019