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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)

Ranking Measures and Loss Functions in Learning to Rank NeurIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models NeurIPS 2009 Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME) NeurIPS 2009 Refinement of Reproducing Kernels JMLR 2009 Regularized Distance Metric Learning:Theory and Algorithm NeurIPS 2009 Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009 Rethinking LDA: Why Priors Matter NeurIPS 2009 Riffled Independence for Ranked Data NeurIPS 2009 Robustness and Regularization of Support Vector Machines JMLR 2009 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NeurIPS 2009 Robust Process Discovery with Artificial Negative Events JMLR 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Scalable Collaborative Filtering Approaches for Large Recommender Systems JMLR 2009 Segmenting Scenes by Matching Image Composites NeurIPS 2009 Semi-Supervised Learning in Gigantic Image Collections NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NeurIPS 2009 Sensitivity analysis in HMMs with application to likelihood maximization NeurIPS 2009 Sequential effects reflect parallel learning of multiple environmental regularities NeurIPS 2009 Sharing Features among Dynamical Systems with Beta Processes NeurIPS 2009 Similarity-based Classification: Concepts and Algorithms JMLR 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009