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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)

On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization NIPS 2008
Bayesian Exponential Family PCA NIPS 2008
Sequential effects: Superstition or rational behavior? NIPS 2008
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NIPS 2008
Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NIPS 2008
Diffeomorphic Dimensionality Reduction NIPS 2008
Using Bayesian Dynamical Systems for Motion Template Libraries NIPS 2008
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NIPS 2008
Robust Near-Isometric Matching via Structured Learning of Graphical Models NIPS 2008
Fast Prediction on a Tree NIPS 2008
Exact Convex Confidence-Weighted Learning NIPS 2008
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NIPS 2008
Regularized Co-Clustering with Dual Supervision NIPS 2008
Tighter Bounds for Structured Estimation NIPS 2008
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree NIPS 2008
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NIPS 2008
Nonparametric regression and classification with joint sparsity constraints NIPS 2008
Predicting the Geometry of Metal Binding Sites from Protein Sequence NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NIPS 2008
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NIPS 2008
Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NIPS 2008
Theory of matching pursuit NIPS 2008