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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)

One Permutation Hashing NIPS 2012
The representer theorem for Hilbert spaces: a necessary and sufficient condition NIPS 2012
A Geometric take on Metric Learning NIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Pointwise Tracking the Optimal Regression Function NIPS 2012
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012
Nonparametric Reduced Rank Regression NIPS 2012
Density-Difference Estimation NIPS 2012
Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
Towards a learning-theoretic analysis of spike-timing dependent plasticity NIPS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search NIPS 2012
Matrix reconstruction with the local max norm NIPS 2012
Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification NIPS 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
Perceptron Learning of SAT NIPS 2012
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging NIPS 2012
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NIPS 2012
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012
Multiresolution Mixture Modeling using Merging of Mixture Components ACML 2012
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection ACML 2012
A Ranking-based KNN Approach for Multi-Label Classification ACML 2012
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012
Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012
Max-Margin Ratio Machine ACML 2012
Learning Temporal Association Rules on Symbolic Time Sequences ACML 2012