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Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

Scalable Variational Gaussian Process Classification AISTATS 2015
Cross-domain recommendation without shared users or items by sharing latent vector distributions AISTATS 2015
Estimating the accuracies of multiple classifiers without labeled data AISTATS 2015
Robust Cost Sensitive Support Vector Machine AISTATS 2015
Sparse Submodular Probabilistic PCA AISTATS 2015
Latent feature regression for multivariate count data AISTATS 2015
Dimensionality estimation without distances AISTATS 2015
A Bayes consistent 1-NN classifier AISTATS 2015
DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015
Tensor Factorization via Matrix Factorization AISTATS 2015
Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015
Symmetric Iterative Proportional Fitting AISTATS 2015
Particle Gibbs for Bayesian Additive Regression Trees AISTATS 2015
Deeply-Supervised Nets AISTATS 2015
Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015
Max-Margin Zero-Shot Learning for Multi-class Classification AISTATS 2015
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels AISTATS 2015
Similarity Learning for High-Dimensional Sparse Data AISTATS 2015
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning AISTATS 2015
Efficient Training of Structured SVMs via Soft Constraints AISTATS 2015
Fast Function to Function Regression AISTATS 2015
Reactive bandits with attitude AISTATS 2015
Feature Selection for Linear SVM with Provable Guarantees AISTATS 2015
Robust sketching for multiple square-root LASSO problems AISTATS 2015
A Scalable Algorithm for Structured Kernel Feature Selection AISTATS 2015