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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)

Particle Filtering for Nonparametric Bayesian Matrix Factorization NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Active learning for misspecified generalized linear models NIPS 2006
Tighter PAC-Bayes Bounds NIPS 2006
Recursive Attribute Factoring NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
Attentional Processing on a Spike-Based VLSI Neural Network NIPS 2006
Doubly Stochastic Normalization for Spectral Clustering NIPS 2006
A Scalable Machine Learning Approach to Go NIPS 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
Subordinate class recognition using relational object models NIPS 2006
Dirichlet-Enhanced Spam Filtering based on Biased Samples NIPS 2006
Stability of $K$-Means Clustering NIPS 2006
Convergence of Laplacian Eigenmaps NIPS 2006
Part-based Probabilistic Point Matching using Equivalence Constraints NIPS 2006
Optimal Change-Detection and Spiking Neurons NIPS 2006
Temporal dynamics of information content carried by neurons in the primary visual cortex NIPS 2006
On Transductive Regression NIPS 2006
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NIPS 2006
Comparative Gene Prediction using Conditional Random Fields NIPS 2006
Learning annotated hierarchies from relational data NIPS 2006
Single Channel Speech Separation Using Factorial Dynamics NIPS 2006
A Small World Threshold for Economic Network Formation NIPS 2006
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NIPS 2006