machine-learning-surveys
A curated list of Machine Learning Surveys, Tutorials and Books.
https://github.com/metrofun/machine-learning-surveys
Last synced: 15 days ago
JSON representation
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Table of Contents
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Active Learning
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Bioinformatics
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Classification
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Clustering
- Data Clustering: 50 Years Beyond K-Means
- A Tutorial on Spectral Clustering
- Handbook of Blind Source Separation: Independent Component Analysis and Applications
- Survey of Clustering Algorithms
- A Survey of Clustering Data Mining Techniques
- Clustering
- Data Clustering: 50 Years Beyond K-Means
- A Tutorial on Spectral Clustering
- Handbook of Blind Source Separation: Independent Component Analysis and Applications
- Survey of Clustering Algorithms
- A Survey of Clustering Data Mining Techniques
- Clustering
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Computer Vision
- Pedestrian Detection: An Evaluation of the State of the Art
- Computer Vision: Algorithms and Applications
- A Survey of Appearance Models in Visual Object Tracking
- Object Tracking: A Survey
- Head Pose Estimation in Computer Vision: A Survey
- A Survey of Recent Advances in Face Detection
- Monocular Model-Based 3d Tracking of Rigid Objects: A Survey
- A Survey on Face Detection in the Wild: Past, Present and Future
- Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
- Pedestrian Detection: An Evaluation of the State of the Art
- Computer Vision: Algorithms and Applications
- A Survey of Appearance Models in Visual Object Tracking
- Object Tracking: A Survey
- Head Pose Estimation in Computer Vision: A Survey
- A Survey of Recent Advances in Face Detection
- Monocular Model-Based 3d Tracking of Rigid Objects: A Survey
- A Survey on Face Detection in the Wild: Past, Present and Future
- A Review on Deep Learning Techniques Applied to Semantic Segmentation
- Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
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Deep Learning
- Opportunities and Obstacles for Deep Learning in Biology and Medicine
- A Review on Deep Learning Techniques Applied to Semantic Segmentation
- Deep Learning
- Deep Learning in Neural Networks: An Overview
- Learning Deep Architectures for Ai
- NIPS 2016 Tutorial: Generative Adversarial Networks
- Deep Learning Techniques for Music Generation
- Deep Learning
- Deep Learning in Neural Networks: An Overview
- Learning Deep Architectures for Ai
- Tutorial on Variational Autoencoders
- Deep Reinforcement Learning: An Overview
- NIPS 2016 Tutorial: Generative Adversarial Networks
- Deep Learning for Video Game Playing
- Deep Learning Techniques for Music Generation
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Dimensionality Reduction
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Ensemble Learning
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Metric Learning
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Monte Carlo
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Multi-Armed Bandit
- Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems
- A Survey of Online Experiment Design With the Stochastic Multi-Armed Bandit
- A Tutorial on Thompson Sampling
- Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems
- A Survey of Online Experiment Design With the Stochastic Multi-Armed Bandit
- A Tutorial on Thompson Sampling
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Multi-View Learning
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Natural Language Processing
- A Primer on Neural Network Models for Natural Language Processing
- Probabilistic Topic Models
- Natural Language Processing (Almost) From Scratch
- Opinion Mining and Sentiment Analysis
- Survey of the State of the Art in Natural Language Generation: Core Tasks, Applications and Evaluation
- Opinion Mining and Sentiment Analysis
- Neural Machine Translation and Sequence-to-Sequence Models: A Tutorial
- Machine Learning in Automated Text Categorization
- Statistical Machine Translation
- Statistical Machine Translation
- Machine Transliteration Survey
- A Primer on Neural Network Models for Natural Language Processing
- Probabilistic Topic Models
- Natural Language Processing (Almost) From Scratch
- Opinion Mining and Sentiment Analysis
- Survey of the State of the Art in Natural Language Generation: Core Tasks, Applications and Evaluation
- Opinion Mining and Sentiment Analysis
- Neural Machine Translation and Sequence-to-Sequence Models: A Tutorial
- Machine Learning in Automated Text Categorization
- Statistical Machine Translation
- Statistical Machine Translation
- Machine Transliteration Survey
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Physics
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Probabilistic Models
- Graphical Models, Exponential Families, and Variational Inference
- An Introduction to Conditional Random Fields
- An Introduction to Conditional Random Fields for Relational Learning
- An Introduction to Mcmc for Machine Learning
- Introduction to Probability Models
- Graphical Models, Exponential Families, and Variational Inference
- An Introduction to Conditional Random Fields
- An Introduction to Conditional Random Fields for Relational Learning
- An Introduction to Mcmc for Machine Learning
- Introduction to Probability Models
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Recommender Systems
- Introduction to Recommender Systems Handbook
- Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions
- Matrix Factorization Techniques for Recommender Systems
- A Survey of Collaborative Filtering Techniques
- Introduction to Recommender Systems Handbook
- Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions
- Matrix Factorization Techniques for Recommender Systems
- A Survey of Collaborative Filtering Techniques
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Reinforcement Learning
- Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
- Deep Reinforcement Learning: An Overview
- Deep Learning for Video Game Playing
- Reinforcement Learning: An Introduction
- Bayesian Reinforcement Learning: A Survey
- Reinforcement Learning: A Survey
- Reinforcement Learning in Robotics: A Survey
- Reinforcement Learning: An Introduction
- Bayesian Reinforcement Learning: A Survey
- Reinforcement Learning: A Survey
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Robotics
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Semi-Supervised Learning
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Submodular Functions
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Transfer Learning
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Unsupervised Learning
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Categories
Sub Categories
Natural Language Processing
22
Computer Vision
19
Deep Learning
15
Clustering
12
Probabilistic Models
10
Reinforcement Learning
10
Recommender Systems
8
Multi-Armed Bandit
6
Bioinformatics
5
Classification
4
Dimensionality Reduction
4
Ensemble Learning
4
Metric Learning
4
Multi-View Learning
4
Submodular Functions
4
Transfer Learning
4
Robotics
3
Semi-Supervised Learning
2
Active Learning
2
Physics
2
Monte Carlo
2
Unsupervised Learning
1