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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)

The Bigraphical Lasso ICML 2013
Deep Canonical Correlation Analysis ICML 2013
Consistency of Online Random Forests ICML 2013
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013
Fast Image Tagging ICML 2013
Maxout Networks ICML 2013
Predictable Dual-View Hashing ICML 2013
Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013
Scale Invariant Conditional Dependence Measures ICML 2013
Learning Policies for Contextual Submodular Prediction ICML 2013
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation ICML 2013
Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013
Cost-sensitive Multiclass Classification Risk Bounds ICML 2013
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion ICML 2013
Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models ICML 2013
Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013
Multilinear Multitask Learning ICML 2013
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning ICML 2013
Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data IJCAI 2013
Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013
Ranking Forests JMLR 2013
Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013
Universal Consistency of Localized Versions of Regularized Kernel Methods JMLR 2013
MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use JMLR 2013
Sparse Single-Index Model JMLR 2013