Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

A Regularization Approach to Nonlinear Variable Selection AISTATS 2010 A Streaming Parallel Decision Tree Algorithm JMLR 2010 A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design JMLR 2010 A Theory of Multiclass Boosting NeurIPS 2010 A unified model of short-range and long-range motion perception NeurIPS 2010 Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NeurIPS 2010 Avoiding False Positive in Multi-Instance Learning NeurIPS 2010 Basis Construction from Power Series Expansions of Value Functions NeurIPS 2010 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Bayesian Generalized Kernel Models AISTATS 2010 Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010 Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010 b-Bit Minwise Hashing for Estimating Three-Way Similarities NeurIPS 2010 Beyond Actions: Discriminative Models for Contextual Group Activities NeurIPS 2010 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 Boosted Optimization for Network Classification AISTATS 2010 Boosting Classifier Cascades NeurIPS 2010 Brain covariance selection: better individual functional connectivity models using population prior NeurIPS 2010 Bundle Methods for Regularized Risk Minimization JMLR 2010 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Characterization, Stability and Convergence of Hierarchical Clustering Methods JMLR 2010 Classification Methods with Reject Option Based on Convex Risk Minimization JMLR 2010 Classification Using Geometric Level Sets JMLR 2010 Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010 Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NeurIPS 2010