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)

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NeurIPS 2014 Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014 Ensemble Methods for Structured Prediction ICML 2014 EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines JMLR 2014 Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations AISTATS 2014 Estimating Latent-Variable Graphical Models using Moments and Likelihoods ICML 2014 Estimation with Norm Regularization NeurIPS 2014 Event Detection using Multi-Level Relevance Labels and Multiple Features CVPR 2014 Exact Post Model Selection Inference for Marginal Screening NeurIPS 2014 Exchangeable Variable Models ICML 2014 Exclusive Feature Learning on Arbitrary Structures via ℓ_1,2-norm NeurIPS 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014 Expectation Propagation for Neural Networks with Sparsity-Promoting Priors JMLR 2014 Explicit Link Between Periodic Covariance Functions and State Space Models AISTATS 2014 Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014 Exponential Concentration of a Density Functional Estimator NeurIPS 2014 Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities NeurIPS 2014 Extracting Latent Structure From Multiple Interacting Neural Populations NeurIPS 2014 Face Alignment at 3000 FPS via Regressing Local Binary Features CVPR 2014 Facial Expression Recognition via a Boosted Deep Belief Network CVPR 2014 Factoring Variations in Natural Images with Deep Gaussian Mixture Models NeurIPS 2014 Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014 Fantope Regularization in Metric Learning CVPR 2014 Fast Allocation of Gaussian Process Experts ICML 2014