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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)

Spatial distance dependent Chinese restaurant processes for image segmentation NIPS 2011
History distribution matching method for predicting effectiveness of HIV combination therapies NIPS 2011
A Non-Parametric Approach to Dynamic Programming NIPS 2011
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NIPS 2011
Variance Penalizing AdaBoost NIPS 2011
Hierarchically Supervised Latent Dirichlet Allocation NIPS 2011
Agnostic Selective Classification NIPS 2011
Additive Gaussian Processes NIPS 2011
A Collaborative Mechanism for Crowdsourcing Prediction Problems NIPS 2011
Orthogonal Matching Pursuit with Replacement NIPS 2011
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NIPS 2011
Optimal learning rates for least squares SVMs using Gaussian kernels NIPS 2011
Fast and Accurate k-means For Large Datasets NIPS 2011
Message-Passing for Approximate MAP Inference with Latent Variables NIPS 2011
A More Powerful Two-Sample Test in High Dimensions using Random Projection NIPS 2011
Kernel Bayes' Rule NIPS 2011
ShareBoost: Efficient multiclass learning with feature sharing NIPS 2011
Heavy-tailed Distances for Gradient Based Image Descriptors NIPS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NIPS 2011
Divide-and-Conquer Matrix Factorization NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Uniqueness of Belief Propagation on Signed Graphs NIPS 2011
Improving Topic Coherence with Regularized Topic Models NIPS 2011
Beating SGD: Learning SVMs in Sublinear Time NIPS 2011