Machine Transliteration Survey (2011) [S Karimi, F Scholer, A Turpin] [46pp]
Neural Machine Translation and Sequence-to-Sequence Models: A Tutorial (2017) [G Neubig] [57pp]
Physics
Machine Learning & Artificial Intelligence in the Quantum Domain (2017) [V Dunjko, HJ Briegel] [106pp]
Probabilistic Models
Graphical Models, Exponential Families, and Variational Inference (2008) [MJ Wainwright, MI Jordan] [305pp]
An Introduction to Conditional Random Fields (2011) [C Sutton] [90pp]
An Introduction to Conditional Random Fields for Relational Learning (2006) [C Sutton] [35pp]
An Introduction to Mcmc for Machine Learning (2003) [C Andrieu, N DE Freitas, A Doucet, MI Jordan] [39pp]
Introduction to Probability Models (2014) [SM Ross] [801pp]
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Recommender Systems
Introduction to Recommender Systems Handbook (2011) [F Ricci, L Rokach, B Shapira] [845pp]
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Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions (2008) [G Adomavicius, A Tuzhilin] [43pp] ⭐
Matrix Factorization Techniques for Recommender Systems (2009) [Y Koren, R Bell, C Volinsky] [8pp] ⭐
A Survey of Collaborative Filtering Techniques (2009) [X Su, TM Khoshgoftaar] [20pp]
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]
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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
Reinforcement Learning in Robotics: A Survey (2013) [J Kober, JA Bagnell, J Peterskober] [74pp] ⭐
A Survey of Robot Learning From Demonstration (2009) [BD Argall, S Chernova, M Veloso] [15pp]
Semi-Supervised Learning
Semi-Supervised Learning Literature Survey (2008) [X Zhu] [59pp]
Submodular Functions
Learning With Submodular Functions: A Convex Optimization Perspective (2013) [F Bach] [173pp]
Submodular Function Maximization (2012) [A Krause, D Golovin] [28pp]
Transfer Learning
A Survey on Transfer Learning (2010) [SJ Pan, Q Yang] [15pp] ⭐
Transfer Learning for Reinforcement Learning Domains: A Survey (2009) [ME Taylor, P Stone] [53pp]
Unsupervised Learning
Tutorial on Variational Autoencoders (2016) [C Doersch] [65pp] ⭐