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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)

GPS-Tag Refinement using Random Walks with an Adaptive Damping Factor CVPR 2014
A Discriminative Latent Variable Model for Online Clustering ICML 2014
Kernel Mean Estimation and Stein Effect ICML 2014
Demystifying Information-Theoretic Clustering ICML 2014
The Coherent Loss Function for Classification ICML 2014
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014
A Statistical Perspective on Algorithmic Leveraging ICML 2014
Boosting multi-step autoregressive forecasts ICML 2014
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014
Latent Bandits. ICML 2014
Fast Allocation of Gaussian Process Experts ICML 2014
Von Mises-Fisher Clustering Models ICML 2014
The Inverse Regression Topic Model ICML 2014
A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014
Margins, Kernels and Non-linear Smoothed Perceptrons ICML 2014
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts ICML 2014
Large-Margin Metric Learning for Constrained Partitioning Problems ICML 2014
Wasserstein Propagation for Semi-Supervised Learning ICML 2014
Max-Margin Infinite Hidden Markov Models ICML 2014
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014
Computing Parametric Ranking Models via Rank-Breaking ICML 2014
Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost ICML 2014
Condensed Filter Tree for Cost-Sensitive Multi-Label Classification ICML 2014
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014