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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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'10
'15
'20
'25

Papers (including subtopics)

Tracking Changing Stimuli in Continuous Attractor Neural Networks NeurIPS 2008 Trust Region Newton Method for Logistic Regression JMLR 2008 Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing NeurIPS 2008 Unifying the Sensory and Motor Components of Sensorimotor Adaptation NeurIPS 2008 Universal Multi-Task Kernels JMLR 2008 Unsupervised Learning of Visual Sense Models for Polysemous Words NeurIPS 2008 Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Using Markov Blankets for Causal Structure Learning JMLR 2008 Using matrices to model symbolic relationship NeurIPS 2008 Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 Visualizing Data using t-SNE JMLR 2008 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 A Bayesian Framework for Cross-Situational Word-Learning NeurIPS 2007 A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2007 A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NeurIPS 2007 A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NeurIPS 2007 Active Preference Learning with Discrete Choice Data NeurIPS 2007 AdaBoost is Consistent JMLR 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 Adaptive Non-Stationary Kernel Regression for Terrain Modeling RSS 2007 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation JMLR 2007 Agreement-Based Learning NeurIPS 2007 A Kernel Statistical Test of Independence NeurIPS 2007