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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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Papers (including subtopics)

On the Sample Complexity of Robust PCA NeurIPS 2012 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NeurIPS 2012 On Using Nearly-Independent Feature Families for High Precision and Confidence ACML 2012 Open Problem: Better Bounds for Online Logistic Regression COLT 2012 Open Problem: Does AdaBoost Always Cycle? COLT 2012 Open Problem: Learning Dynamic Network Models from a Static Snapshot COLT 2012 Optimal kernel choice for large-scale two-sample tests NeurIPS 2012 Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss NeurIPS 2012 PAC-Bayes Bounds with Data Dependent Priors JMLR 2012 PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012 Pairwise Support Vector Machines and their Application to Large Scale Problems JMLR 2012 Parametric Local Metric Learning for Nearest Neighbor Classification NeurIPS 2012 Part & Clamp: Efficient Structured Output Learning AISTATS 2012 Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task NeurIPS 2012 Perceptron Learning of SAT NeurIPS 2012 Perfect Dimensionality Recovery by Variational Bayesian PCA NeurIPS 2012 Persistent Homology for Learning Densities with Bounded Support NeurIPS 2012 Phoneme Classification using Constrained Variational Gaussian Process Dynamical System NeurIPS 2012 Pointwise Tracking the Optimal Regression Function NeurIPS 2012 Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012 Practical Large Scale Classification with Additive Kernels ACML 2012 Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study NeurIPS 2012 Primal-Dual methods for sparse constrained matrix completion AISTATS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012