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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 Large-scale Dyadic Data using MCMC NIPS 2008
Robust Regression and Lasso NIPS 2008
Hierarchical Fisher Kernels for Longitudinal Data NIPS 2008
The Infinite Factorial Hidden Markov Model NIPS 2008
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
Clustering via LP-based Stabilities NIPS 2008
Spike Feature Extraction Using Informative Samples NIPS 2008
Deep Learning with Kernel Regularization for Visual Recognition NIPS 2008
On Bootstrapping the ROC Curve NIPS 2008
QUIC-SVD: Fast SVD Using Cosine Trees NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
Cyclizing Clusters via Zeta Function of a Graph NIPS 2008
Integrating Locally Learned Causal Structures with Overlapping Variables NIPS 2008
A mixture model for the evolution of gene expression in non-homogeneous datasets NIPS 2008
An Homotopy Algorithm for the Lasso with Online Observations NIPS 2008
Adaptive Martingale Boosting NIPS 2008
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NIPS 2008
ICA based on a Smooth Estimation of the Differential Entropy NIPS 2008
Support Vector Machines with a Reject Option NIPS 2008
Generative versus discriminative training of RBMs for classification of fMRI images NIPS 2008
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NIPS 2008
Gates NIPS 2008
MAS: a multiplicative approximation scheme for probabilistic inference NIPS 2008
Learning Hybrid Models for Image Annotation with Partially Labeled Data NIPS 2008
Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008