machine-learning-surveys

Machine Learning Surveys

A curated list of Machine Learning related surveys, overviews and books.

If you want to contribute to this list (please do), check How to Contribute wiki or contact me @ML_Review.

Table of Contents

• Active Learning
• Bioinformatics
• Classification
• Clustering
• Computer Vision
• Deep Learning
• Dimensionality Reduction
• Ensemble Learning
• Metric Learning
• Monte Carlo
• Multi-Armed Bandit
• Multi-View Learning
• Natural Language Processing
• Physics
• Probabilistic Models
• Recommender Systems
• Reinforcement Learning
• Robotics
• Semi-Supervised Learning
• Submodular Functions
• Transfer Learning
• Unsupervised Learning

Active Learning

• Active Learning Literature Survey (2010) [B Settles] [67pp]

Bioinformatics

• Introduction to Bioinformatics (2013) [A Lesk] [255pp]
• Bioinformatics - an Introduction for Computer Scientists (2004) [J Cohen] [37pp]
• Opportunities and Obstacles for Deep Learning in Biology and Medicine (2017) [T Ching, DS Himmelstein, BK Beaulieu-jones] [102pp]

Classification

• Supervised Machine Learning: A Review of Classification Techniques (2007) [SB Kotsiantis, I Zaharakis, P Pintelas] [20pp]
• Web Page Classification: Features and Algorithms (2009) [X Qi, BD Davison] [31pp]

Clustering

• Data Clustering: 50 Years Beyond K-Means (2010) [AK Jain] [16pp] ⭐
• A Tutorial on Spectral Clustering (2007) [U VON Luxburg] [32pp]
• Handbook of Blind Source Separation: Independent Component Analysis and Applications (2010) [P Comon, C Jutten] [65pp]
• Survey of Clustering Algorithms (2005) [R Xu, D Wunsch] [34pp]
• A Survey of Clustering Data Mining Techniques (2006) [P Berkhin] [56pp]
• Clustering (2008) [R Xu, D Wunsch] [341pp]

Computer Vision

• Pedestrian Detection: An Evaluation of the State of the Art (2012) [P Dollar, C Wojek, B Schiele] [19pp] ⭐
• Computer Vision: Algorithms and Applications (2010) [R Szeliski] [874pp] ⭐
• A Survey of Appearance Models in Visual Object Tracking (2013) [X Li] [42pp] ⭐
• Object Tracking: A Survey (2006) [A Yilmaz] [45pp]
• Head Pose Estimation in Computer Vision: A Survey (2009) [E Murphy-chutorian, MM Trivedi] [20pp]
• A Survey of Recent Advances in Face Detection (2010) [C Zhang, Z Zhang] [17pp]
• Monocular Model-Based 3d Tracking of Rigid Objects: A Survey (2005) [V Lepetit] [91pp]
• A Survey on Face Detection in the Wild: Past, Present and Future (2015) [S Zafeiriou, C Zhang, Z Zhang] [50pp]
• A Review on Deep Learning Techniques Applied to Semantic Segmentation (2017) [A Garcia-garcia, S Orts-escolano] [23pp]
• Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art (2017) [D Russo, B VAN Roy, A Kazerouni, I Osband] [67pp]
• Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art (2017) [J Janai, F Güney, A Behl, A Geiger] [14pp]

Deep Learning

• Deep Learning (2016) [IJ Goodfellow, Y Bengio, A Courville] [800pp] ⭐⭐
• Deep Learning in Neural Networks: An Overview (2015) [J Schmidhuber] [88pp] ⭐⭐
• Learning Deep Architectures for Ai (2009) [Y Bengio] [71pp] ⭐
• Tutorial on Variational Autoencoders (2016) [C Doersch] [65pp] ⭐
• Deep Reinforcement Learning: An Overview (2017) [ Y Li] [30pp]
• NIPS 2016 Tutorial: Generative Adversarial Networks (2016) [I Goodfellow] [57pp]
• Opportunities and Obstacles for Deep Learning in Biology and Medicine (2017) [T Ching, DS Himmelstein, BK Beaulieu-jones] [102pp]
• A Review on Deep Learning Techniques Applied to Semantic Segmentation (2017) [A Garcia-garcia, S Orts-escolano] [23pp]
• Deep Learning for Video Game Playing (2017) [N Justesen, P Bontrager, J Togelius, S Risi] [16pp]
• Deep Learning Techniques for Music Generation (2017) [JP Briot, G Hadjeres, F PACHET ] [108pp]

Dimensionality Reduction

• Dimensionality Reduction: A Comparative Review (2009) [L VAN DER Maaten, E Postma] [36pp]
• Dimension Reduction: A Guided Tour (2010) [CJC Burges] [64pp]

Ensemble Learning

• Ensemble Methods: Foundations and Algorithms (2012) [ZH Zhou] [234pp]
• Ensemble Approaches for Regression: A Survey (2012) [J Mendes-moreira, C Soares, AM Jorge] [40pp]

Metric Learning

• A Survey on Metric Learning for Feature Vectors and Structured Data (2014) [A Bellet] [59pp]
• Metric Learning: A Survey (2012) [B Kulis] [80pp]

Monte Carlo

• Geometric Integrators and the Hamiltonian Monte Carlo Method (2017) [N Bou-rabee, JM Sanz-serna] [92pp]

Multi-Armed Bandit

• Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems (2012) [S Bubeck, N Cesa-bianchi] [130pp] ⭐
• [A Survey of Online Experiment Design With the Stochastic Multi-Armed Bandit](https://scholar.google.com/scholar?q=%22A%20Survey%20of%20Online%