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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)

Stochastic Relational Models for Discriminative Link Prediction NIPS 2006
Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces NIPS 2006
Inducing Metric Violations in Human Similarity Judgements NIPS 2006
Nonnegative Sparse PCA NIPS 2006
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NIPS 2006
Multiple Instance Learning for Computer Aided Diagnosis NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Efficient Learning of Sparse Representations with an Energy-Based Model NIPS 2006
Using Combinatorial Optimization within Max-Product Belief Propagation NIPS 2006
Branch and Bound for Semi-Supervised Support Vector Machines NIPS 2006
Differential Entropic Clustering of Multivariate Gaussians NIPS 2006
Multi-Instance Multi-Label Learning with Application to Scene Classification NIPS 2006
Analysis of Contour Motions NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Approximate inference using planar graph decomposition NIPS 2006
Context Effects in Category Learning: An Investigation of Four Probabilistic Models NIPS 2006
Recursive ICA NIPS 2006
The Neurodynamics of Belief Propagation on Binary Markov Random Fields NIPS 2006
A Humanlike Predictor of Facial Attractiveness NIPS 2006
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NIPS 2006
Image Retrieval and Classification Using Local Distance Functions NIPS 2006
Chained Boosting NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Manifold Denoising NIPS 2006
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields NIPS 2006