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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)

Metric Learning with Multiple Kernels NIPS 2011
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NIPS 2011
Understanding the Intrinsic Memorability of Images NIPS 2011
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories NIPS 2011
Structure Learning for Optimization NIPS 2011
Multiclass Boosting: Theory and Algorithms NIPS 2011
Composite Multiclass Losses NIPS 2011
Scalable Training of Mixture Models via Coresets NIPS 2011
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011
Testing a Bayesian Measure of Representativeness Using a Large Image Database NIPS 2011
Dynamical segmentation of single trials from population neural data NIPS 2011
Active Classification based on Value of Classifier NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
Co-regularized Multi-view Spectral Clustering NIPS 2011
A concave regularization technique for sparse mixture models NIPS 2011
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011
Learning Eigenvectors for Free NIPS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Bayesian Partitioning of Large-Scale Distance Data NIPS 2011
Dimensionality Reduction Using the Sparse Linear Model NIPS 2011
RTRMC: A Riemannian trust-region method for low-rank matrix completion NIPS 2011
A Denoising View of Matrix Completion NIPS 2011
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NIPS 2011
Data Skeletonization via Reeb Graphs NIPS 2011
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NIPS 2011