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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)

Learning to Discover Social Circles in Ego Networks NIPS 2012
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NIPS 2012
A Better Way to Pretrain Deep Boltzmann Machines NIPS 2012
Semi-supervised Eigenvectors for Locally-biased Learning NIPS 2012
The variational hierarchical EM algorithm for clustering hidden Markov models NIPS 2012
Bayesian nonparametric models for ranked data NIPS 2012
GenDeR: A Generic Diversified Ranking Algorithm NIPS 2012
Accuracy at the Top NIPS 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Non-parametric Approximate Dynamic Programming via the Kernel Method NIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
Delay Compensation with Dynamical Synapses NIPS 2012
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NIPS 2012
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NIPS 2012
Multiresolution analysis on the symmetric group NIPS 2012
Learning as MAP Inference in Discrete Graphical Models NIPS 2012
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NIPS 2012
Isotropic Hashing NIPS 2012
Repulsive Mixtures NIPS 2012
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NIPS 2012
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NIPS 2012
The Lovász ϑ function, SVMs and finding large dense subgraphs NIPS 2012
Slice sampling normalized kernel-weighted completely random measure mixture models NIPS 2012
Automatic Feature Induction for Stagewise Collaborative Filtering NIPS 2012
Monte Carlo Methods for Maximum Margin Supervised Topic Models NIPS 2012