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
- 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
Ensemble Learning
Metric Learning
Monte Carlo
Multi-Armed Bandit
Multi-View Learning
Natural Language Processing
Physics
Probabilistic Models
Recommender Systems
Reinforcement Learning
- Reinforcement Learning in Robotics: A Survey (2013)
[J Kober, JA Bagnell, J Peterskober] [74pp] ⭐
- Deep Reinforcement Learning: An Overview (2017)
[ Y Li] [30pp]
- Reinforcement Learning: An Introduction (2016)
[RS Sutton, AG Barto] [398pp] 📚
- Bayesian Reinforcement Learning: A Survey (2016)
[M Ghavamzadeh, S Mannor, J Pineau] [147pp]
- Reinforcement Learning: A Survey (1996)
[LP Kaelbling, ML Littman, AW Moore] [49pp]
- Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art (2017)
[J Janai, F Güney, A Behl, A Geiger] [14pp]
- Deep Learning for Video Game Playing (2017)
[N Justesen, P Bontrager, J Togelius, S Risi] [16pp]
Robotics
Semi-Supervised Learning
Submodular Functions
Transfer Learning
Unsupervised Learning