{"id":56593,"url":"https://github.com/metrofun/machine-learning-surveys","name":"machine-learning-surveys","description":"A curated list of Machine Learning Surveys, Tutorials and Books.","projects_count":82,"last_synced_at":"2026-08-16T23:00:21.227Z","repository":{"id":44139308,"uuid":"92328985","full_name":"metrofun/machine-learning-surveys","owner":"metrofun","description":"A curated list of Machine Learning Surveys, Tutorials and Books.","archived":false,"fork":false,"pushed_at":"2023-01-03T13:49:06.000Z","size":83,"stargazers_count":1407,"open_issues_count":3,"forks_count":200,"subscribers_count":70,"default_branch":"master","last_synced_at":"2026-07-28T13:05:22.250Z","etag":null,"topics":["awesome","awesome-list","list","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/metrofun.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-05-24T19:30:06.000Z","updated_at":"2026-07-16T04:46:13.000Z","dependencies_parsed_at":"2023-02-01T06:30:40.265Z","dependency_job_id":null,"html_url":"https://github.com/metrofun/machine-learning-surveys","commit_stats":null,"previous_names":["mlreview/machine-learning-surveys"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/metrofun/machine-learning-surveys","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/metrofun%2Fmachine-learning-surveys","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/metrofun%2Fmachine-learning-surveys/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/metrofun%2Fmachine-learning-surveys/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/metrofun%2Fmachine-learning-surveys/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/metrofun","download_url":"https://codeload.github.com/metrofun/machine-learning-surveys/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/metrofun%2Fmachine-learning-surveys/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":36725737,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-08-06T04:43:03.162Z","status":"online","status_checked_at":"2026-08-16T02:00:06.462Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2024-03-02T14:32:16.813Z","updated_at":"2026-08-16T23:00:21.227Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["Table of Contents"],"sub_categories":["Active Learning","Bioinformatics","Deep Learning","Classification","Clustering","Computer Vision","Reinforcement Learning","Unsupervised Learning","Dimensionality Reduction","Ensemble Learning","Metric Learning","Monte Carlo","Multi-Armed Bandit","Multi-View Learning","Natural Language Processing","Physics","Probabilistic Models","Recommender Systems","Robotics","Semi-Supervised Learning","Submodular Functions","Transfer Learning"],"readme":"\u003c!--\n    This is an auto-generated file. Please check \"How to Contribute\" wiki\n    here: https://github.com/metrofun/machine-learning-surveys/wiki/How-to-Contribute\n--\u003e\n# Machine Learning Surveys\n\nA curated list of Machine Learning related surveys, overviews and books.\n\nIf you want to contribute to this list (please do), check [How to Contribute](https://github.com/metrofun/machine-learning-surveys/wiki/How-to-Contribute-a-Paper) wiki or contact me [@ML_Review](https://twitter.com/ML_Review).\n\n## Table of Contents\n\n- [Active Learning](#active-learning)\n- [Bioinformatics](#bioinformatics)\n- [Classification](#classification)\n- [Clustering](#clustering)\n- [Computer Vision](#computer-vision)\n- [Deep Learning](#deep-learning)\n- [Dimensionality Reduction](#dimensionality-reduction)\n- [Ensemble Learning](#ensemble-learning)\n- [Metric Learning](#metric-learning)\n- [Monte Carlo](#monte-carlo)\n- [Multi-Armed Bandit](#multi-armed-bandit)\n- [Multi-View Learning](#multi-view-learning)\n- [Natural Language Processing](#natural-language-processing)\n- [Physics](#physics)\n- [Probabilistic Models](#probabilistic-models)\n- [Recommender Systems](#recommender-systems)\n- [Reinforcement Learning](#reinforcement-learning)\n- [Robotics](#robotics)\n- [Semi-Supervised Learning](#semi-supervised-learning)\n- [Submodular Functions](#submodular-functions)\n- [Transfer Learning](#transfer-learning)\n- [Unsupervised Learning](#unsupervised-learning)\n\n\n### Active Learning\n\n* [Active Learning Literature Survey](https://scholar.google.com/scholar?q=%22Active%20Learning%20Literature%20Survey%22%20author%3A%22B%20Settles%22 \"B Settles\") (2010)\n[B Settles] [67pp]  \n\n### Bioinformatics\n\n* [Introduction to Bioinformatics](https://scholar.google.com/scholar?q=%22Introduction%20to%20Bioinformatics%22%20author%3A%22A%20Lesk%22 \"A Lesk\") (2013)\n[A Lesk] [255pp]  📚 \n* [Bioinformatics - an Introduction for Computer Scientists](https://scholar.google.com/scholar?q=%22Bioinformatics%20-%20an%20Introduction%20for%20Computer%20Scientists%22%20author%3A%22J%20Cohen%22 \"J Cohen\") (2004)\n[J Cohen] [37pp]  \n* [Opportunities and Obstacles for Deep Learning in Biology and Medicine](https://scholar.google.com/scholar?q=%22Opportunities%20and%20Obstacles%20for%20Deep%20Learning%20in%20Biology%20and%20Medicine%22%20author%3A%22T%20Ching%22 \"T Ching, DS Himmelstein, BK Beaulieu-jones\") (2017)\n[T Ching, DS Himmelstein, BK Beaulieu-jones] [102pp]  \n\n### Classification\n\n* [Supervised Machine Learning: A Review of Classification Techniques](https://scholar.google.com/scholar?q=%22Supervised%20Machine%20Learning%3A%20A%20Review%20of%20Classification%20Techniques%22%20author%3A%22SB%20Kotsiantis%22 \"SB Kotsiantis, I Zaharakis, P Pintelas\") (2007)\n[SB Kotsiantis, I Zaharakis, P Pintelas] [20pp]  \n* [Web Page Classification: Features and Algorithms](https://scholar.google.com/scholar?q=%22Web%20Page%20Classification%3A%20Features%20and%20Algorithms%22%20author%3A%22X%20Qi%22 \"X Qi, BD Davison\") (2009)\n[X Qi, BD Davison] [31pp]  \n\n### Clustering\n\n* [Data Clustering: 50 Years Beyond K-Means](https://scholar.google.com/scholar?q=%22Data%20Clustering%3A%2050%20Years%20Beyond%20K-Means%22%20author%3A%22AK%20Jain%22 \"AK Jain\") (2010)\n[AK Jain] [16pp]  ⭐\n* [A Tutorial on Spectral Clustering](https://scholar.google.com/scholar?q=%22A%20Tutorial%20on%20Spectral%20Clustering%22%20author%3A%22U%20VON%20Luxburg%22 \"U VON Luxburg\") (2007)\n[U VON Luxburg] [32pp]  \n* [Handbook of Blind Source Separation: Independent Component Analysis and Applications](https://scholar.google.com/scholar?q=%22Handbook%20of%20Blind%20Source%20Separation%3A%20Independent%20Component%20Analysis%20and%20Applications%22%20author%3A%22P%20Comon%22 \"P Comon, C Jutten\") (2010)\n[P Comon, C Jutten] [65pp]  📚 \n* [Survey of Clustering Algorithms](https://scholar.google.com/scholar?q=%22Survey%20of%20Clustering%20Algorithms%22%20author%3A%22R%20Xu%22 \"R Xu, D Wunsch\") (2005)\n[R Xu, D Wunsch] [34pp]  \n* [A Survey of Clustering Data Mining Techniques](https://scholar.google.com/scholar?q=%22A%20Survey%20of%20Clustering%20Data%20Mining%20Techniques%22%20author%3A%22P%20Berkhin%22 \"P Berkhin\") (2006)\n[P Berkhin] [56pp]  \n* [Clustering](https://scholar.google.com/scholar?q=%22Clustering%22%20author%3A%22R%20Xu%22 \"R Xu, D Wunsch\") (2008)\n[R Xu, D Wunsch] [341pp]  📚 \n\n### Computer Vision\n\n* [Pedestrian Detection: An Evaluation of the State of the Art](https://scholar.google.com/scholar?q=%22Pedestrian%20Detection%3A%20An%20Evaluation%20of%20the%20State%20of%20the%20Art%22%20author%3A%22P%20Dollar%22 \"P Dollar, C Wojek, B Schiele\") (2012)\n[P Dollar, C Wojek, B Schiele] [19pp]  ⭐\n* [Computer Vision: Algorithms and Applications](https://scholar.google.com/scholar?q=%22Computer%20Vision%3A%20Algorithms%20and%20Applications%22%20author%3A%22R%20Szeliski%22 \"R Szeliski\") (2010)\n[R Szeliski] [874pp]  📚 ⭐\n* [A Survey of Appearance Models in Visual Object Tracking](https://scholar.google.com/scholar?q=%22A%20Survey%20of%20Appearance%20Models%20in%20Visual%20Object%20Tracking%22%20author%3A%22X%20Li%22 \"X Li\") (2013)\n[X Li] [42pp]  ⭐\n* [Object Tracking: A Survey](https://scholar.google.com/scholar?q=%22Object%20Tracking%3A%20A%20Survey%22%20author%3A%22A%20Yilmaz%22 \"A Yilmaz\") (2006)\n[A Yilmaz] [45pp]  \n* [Head Pose Estimation in Computer Vision: A Survey](https://scholar.google.com/scholar?q=%22Head%20Pose%20Estimation%20in%20Computer%20Vision%3A%20A%20Survey%22%20author%3A%22E%20Murphy-chutorian%22 \"E Murphy-chutorian, MM Trivedi\") (2009)\n[E Murphy-chutorian, MM Trivedi] [20pp]  \n* [A Survey of Recent Advances in Face Detection](https://scholar.google.com/scholar?q=%22A%20Survey%20of%20Recent%20Advances%20in%20Face%20Detection%22%20author%3A%22C%20Zhang%22 \"C Zhang, Z Zhang\") (2010)\n[C Zhang, Z Zhang] [17pp]  \n* [Monocular Model-Based 3d Tracking of Rigid Objects: A Survey](https://scholar.google.com/scholar?q=%22Monocular%20Model-Based%203d%20Tracking%20of%20Rigid%20Objects%3A%20A%20Survey%22%20author%3A%22V%20Lepetit%22 \"V Lepetit\") (2005)\n[V Lepetit] [91pp]  \n* [A Survey on Face Detection in the Wild: Past, Present and Future](https://scholar.google.com/scholar?q=%22A%20Survey%20on%20Face%20Detection%20in%20the%20Wild%3A%20Past%2C%20Present%20and%20Future%22%20author%3A%22S%20Zafeiriou%22 \"S Zafeiriou, C Zhang, Z Zhang\") (2015)\n[S Zafeiriou, C Zhang, Z Zhang] [50pp]  \n* [A Review on Deep Learning Techniques Applied to Semantic Segmentation](https://scholar.google.com/scholar?q=%22A%20Review%20on%20Deep%20Learning%20Techniques%20Applied%20to%20Semantic%20Segmentation%22%20author%3A%22A%20Garcia-garcia%22 \"A Garcia-garcia, S Orts-escolano\") (2017)\n[A Garcia-garcia, S Orts-escolano] [23pp]  \n* [Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art](https://scholar.google.com/scholar?q=%22Computer%20Vision%20for%20Autonomous%20Vehicles%3A%20Problems%2C%20Datasets%20and%20State-of-the-Art%22%20author%3A%22D%20Russo%22 \"D Russo, B VAN Roy, A Kazerouni, I Osband\") (2017)\n[D Russo, B VAN Roy, A Kazerouni, I Osband] [67pp]  \n* [Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art](https://scholar.google.com/scholar?q=%22Computer%20Vision%20for%20Autonomous%20Vehicles%3A%20Problems%2C%20Datasets%20and%20State-of-the-Art%22%20author%3A%22J%20Janai%22 \"J Janai, F Güney, A Behl, A Geiger\") (2017)\n[J Janai, F Güney, A Behl, A Geiger] [14pp]  \n\n### Deep Learning\n\n* [Deep Learning](https://scholar.google.com/scholar?q=%22Deep%20Learning%22%20author%3A%22IJ%20Goodfellow%22 \"IJ Goodfellow, Y Bengio, A Courville\") (2016)\n[IJ Goodfellow, Y Bengio, A Courville] [800pp]  📚 ⭐⭐\n* [Deep Learning in Neural Networks: An Overview](https://scholar.google.com/scholar?q=%22Deep%20Learning%20in%20Neural%20Networks%3A%20An%20Overview%22%20author%3A%22J%20Schmidhuber%22 \"J Schmidhuber\") (2015)\n[J Schmidhuber] [88pp]  ⭐⭐\n* [Learning Deep Architectures for Ai](https://scholar.google.com/scholar?q=%22Learning%20Deep%20Architectures%20for%20Ai%22%20author%3A%22Y%20Bengio%22 \"Y Bengio\") (2009)\n[Y Bengio] [71pp]  ⭐\n* [Tutorial on Variational Autoencoders](https://scholar.google.com/scholar?q=%22Tutorial%20on%20Variational%20Autoencoders%22%20author%3A%22C%20Doersch%22 \"C Doersch\") (2016)\n[C Doersch] [65pp]  ⭐\n* [Deep Reinforcement Learning: An Overview](https://scholar.google.com/scholar?q=%22Deep%20Reinforcement%20Learning%3A%20An%20Overview%22%20author%3A%22%20Y%20Li%22 \" Y Li\") (2017)\n[ Y Li] [30pp]  \n* [NIPS 2016 Tutorial: Generative Adversarial Networks](https://scholar.google.com/scholar?q=%22NIPS%202016%20Tutorial%3A%20Generative%20Adversarial%20Networks%22%20author%3A%22I%20Goodfellow%22 \"I Goodfellow\") (2016)\n[I Goodfellow] [57pp]  \n* [Opportunities and Obstacles for Deep Learning in Biology and Medicine](https://scholar.google.com/scholar?q=%22Opportunities%20and%20Obstacles%20for%20Deep%20Learning%20in%20Biology%20and%20Medicine%22%20author%3A%22T%20Ching%22 \"T Ching, DS Himmelstein, BK Beaulieu-jones\") (2017)\n[T Ching, DS Himmelstein, BK Beaulieu-jones] [102pp]  \n* [A Review on Deep Learning Techniques Applied to Semantic Segmentation](https://scholar.google.com/scholar?q=%22A%20Review%20on%20Deep%20Learning%20Techniques%20Applied%20to%20Semantic%20Segmentation%22%20author%3A%22A%20Garcia-garcia%22 \"A Garcia-garcia, S Orts-escolano\") (2017)\n[A Garcia-garcia, S Orts-escolano] [23pp]  \n* [Deep Learning for Video Game Playing](https://scholar.google.com/scholar?q=%22Deep%20Learning%20for%20Video%20Game%20Playing%22%20author%3A%22N%20Justesen%22 \"N Justesen, P Bontrager, J Togelius, S Risi\") (2017)\n[N Justesen, P Bontrager, J Togelius, S Risi] [16pp]  \n* [Deep Learning Techniques for Music Generation](https://scholar.google.com/scholar?q=%22Deep%20Learning%20Techniques%20for%20Music%20Generation%22%20author%3A%22JP%20Briot%22 \"JP Briot, G Hadjeres, F PACHET \") (2017)\n[JP Briot, G Hadjeres, F PACHET ] [108pp]  \n\n### Dimensionality Reduction\n\n* [Dimensionality Reduction: A Comparative Review](https://scholar.google.com/scholar?q=%22Dimensionality%20Reduction%3A%20A%20Comparative%20Review%22%20author%3A%22L%20VAN%20DER%20Maaten%22 \"L VAN DER Maaten, E Postma\") (2009)\n[L VAN DER Maaten, E Postma] [36pp]  \n* [Dimension Reduction: A Guided Tour](https://scholar.google.com/scholar?q=%22Dimension%20Reduction%3A%20A%20Guided%20Tour%22%20author%3A%22CJC%20Burges%22 \"CJC Burges\") (2010)\n[CJC Burges] [64pp]  \n\n### Ensemble Learning\n\n* [Ensemble Methods: Foundations and Algorithms](https://scholar.google.com/scholar?q=%22Ensemble%20Methods%3A%20Foundations%20and%20Algorithms%22%20author%3A%22ZH%20Zhou%22 \"ZH Zhou\") (2012)\n[ZH Zhou] [234pp]  \n* [Ensemble Approaches for Regression: A Survey](https://scholar.google.com/scholar?q=%22Ensemble%20Approaches%20for%20Regression%3A%20A%20Survey%22%20author%3A%22J%20Mendes-moreira%22 \"J Mendes-moreira, C Soares, AM Jorge\") (2012)\n[J Mendes-moreira, C Soares, AM Jorge] [40pp]  \n\n### Metric Learning\n\n* [A Survey on Metric Learning for Feature Vectors and Structured Data](https://scholar.google.com/scholar?q=%22A%20Survey%20on%20Metric%20Learning%20for%20Feature%20Vectors%20and%20Structured%20Data%22%20author%3A%22A%20Bellet%22 \"A Bellet\") (2014)\n[A Bellet] [59pp]  \n* [Metric Learning: A Survey](https://scholar.google.com/scholar?q=%22Metric%20Learning%3A%20A%20Survey%22%20author%3A%22B%20Kulis%22 \"B Kulis\") (2012)\n[B Kulis] [80pp]  \n\n### Monte Carlo\n\n* [Geometric Integrators and the Hamiltonian Monte Carlo Method](https://scholar.google.com/scholar?q=%22Geometric%20Integrators%20and%20the%20Hamiltonian%20Monte%20Carlo%20Method%22%20author%3A%22N%20Bou-rabee%22 \"N Bou-rabee, JM Sanz-serna\") (2017)\n[N Bou-rabee, JM Sanz-serna] [92pp]  \n\n### Multi-Armed Bandit\n\n* [Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems](https://scholar.google.com/scholar?q=%22Regret%20Analysis%20of%20Stochastic%20and%20Nonstochastic%20Multi-Armed%20Bandit%20Problems%22%20author%3A%22S%20Bubeck%22 \"S Bubeck, N Cesa-bianchi\") (2012)\n[S Bubeck, N Cesa-bianchi] [130pp]  ⭐\n* [A Survey of Online Experiment Design With the Stochastic Multi-Armed Bandit](https://scholar.google.com/scholar?q=%22A%20Survey%20of%20Online%20Experiment%20Design%20With%20the%20Stochastic%20Multi-Armed%20Bandit%22%20author%3A%22G%20Burtini%22 \"G Burtini, J Loeppky, R Lawrence\") (2015)\n[G Burtini, J Loeppky, R Lawrence] [49pp]  \n* [A Tutorial on Thompson Sampling](https://scholar.google.com/scholar?q=%22A%20Tutorial%20on%20Thompson%20Sampling%22%20author%3A%22D%20Russo%22 \"D Russo, B VAN Roy, A Kazerouni, I Osband\") (2017)\n[D Russo, B VAN Roy, A Kazerouni, I Osband] [39pp]  \n\n### Multi-View Learning\n\n* [A Survey on Multi-View Learning](https://scholar.google.com/scholar?q=%22A%20Survey%20on%20Multi-View%20Learning%22%20author%3A%22C%20Xu%22 \"C Xu\") (2013)\n[C Xu] [59pp]  \n* [A Survey of Multi-View Machine Learning](https://scholar.google.com/scholar?q=%22A%20Survey%20of%20Multi-View%20Machine%20Learning%22%20author%3A%22S%20Sun%22 \"S Sun\") (2013)\n[S Sun] [13pp]  \n\n### Natural Language Processing\n\n* [A Primer on Neural Network Models for Natural Language Processing](https://scholar.google.com/scholar?q=%22A%20Primer%20on%20Neural%20Network%20Models%20for%20Natural%20Language%20Processing%22%20author%3A%22Y%20Goldberg%22 \"Y Goldberg\") (2016)\n[Y Goldberg] [76pp]  ⭐\n* [Probabilistic Topic Models](https://scholar.google.com/scholar?q=%22Probabilistic%20Topic%20Models%22%20author%3A%22DM%20Blei%22 \"DM Blei\") (2012)\n[DM Blei] [16pp]  ⭐\n* [Natural Language Processing (Almost) From Scratch](https://scholar.google.com/scholar?q=%22Natural%20Language%20Processing%20%28Almost%29%20From%20Scratch%22%20author%3A%22R%20Collobert%22 \"R Collobert\") (2011)\n[R Collobert] [45pp]  ⭐\n* [Opinion Mining and Sentiment Analysis](https://scholar.google.com/scholar?q=%22Opinion%20Mining%20and%20Sentiment%20Analysis%22%20author%3A%22B%20Pang%22 \"B Pang, L Lee\") (2008)\n[B Pang, L Lee] [94pp]  ⭐\n* [Survey of the State of the Art in Natural Language Generation: Core Tasks, Applications and Evaluation](https://scholar.google.com/scholar?q=%22Survey%20of%20the%20State%20of%20the%20Art%20in%20Natural%20Language%20Generation%3A%20Core%20Tasks%2C%20Applications%20and%20Evaluation%22%20author%3A%22A%20Gatt%22 \"A Gatt, E Krahmer\") (2017)\n[A Gatt, E Krahmer] [111pp]  ⭐\n* [Opinion Mining and Sentiment Analysis](https://scholar.google.com/scholar?q=%22Opinion%20Mining%20and%20Sentiment%20Analysis%22%20author%3A%22B%20Liu%22 \"B Liu, L Zhang\") (2012)\n[B Liu, L Zhang] [38pp]  \n* [Neural Machine Translation and Sequence-to-Sequence Models: A Tutorial](https://scholar.google.com/scholar?q=%22Neural%20Machine%20Translation%20and%20Sequence-to-Sequence%20Models%3A%20A%20Tutorial%22%20author%3A%22G%20Neubig%22 \"G Neubig\") (2017)\n[G Neubig] [65pp]  \n* [Machine Learning in Automated Text Categorization](https://scholar.google.com/scholar?q=%22Machine%20Learning%20in%20Automated%20Text%20Categorization%22%20author%3A%22F%20Sebastiani%22 \"F Sebastiani\") (2002)\n[F Sebastiani] [55pp]  \n* [Statistical Machine Translation](https://scholar.google.com/scholar?q=%22Statistical%20Machine%20Translation%22%20author%3A%22P%20Koehn%22 \"P Koehn\") (2009)\n[P Koehn] [149pp]  📚 \n* [Statistical Machine Translation](https://scholar.google.com/scholar?q=%22Statistical%20Machine%20Translation%22%20author%3A%22A%20Lopez%22 \"A Lopez\") (2008)\n[A Lopez] [55pp]  \n* [Machine Transliteration Survey](https://scholar.google.com/scholar?q=%22Machine%20Transliteration%20Survey%22%20author%3A%22S%20Karimi%22 \"S Karimi, F Scholer, A Turpin\") (2011)\n[S Karimi, F Scholer, A Turpin] [46pp]  \n* [Neural Machine Translation and Sequence-to-Sequence Models: A Tutorial](https://scholar.google.com/scholar?q=%22Neural%20Machine%20Translation%20and%20Sequence-to-Sequence%20Models%3A%20A%20Tutorial%22%20author%3A%22G%20Neubig%22 \"G Neubig\") (2017)\n[G Neubig] [57pp]  \n\n### Physics\n\n* [Machine Learning \u0026 Artificial Intelligence in the Quantum Domain](https://scholar.google.com/scholar?q=%22Machine%20Learning%20%26%20Artificial%20Intelligence%20in%20the%20Quantum%20Domain%22%20author%3A%22V%20Dunjko%22 \"V Dunjko, HJ Briegel\") (2017)\n[V Dunjko, HJ Briegel] [106pp]  \n\n### Probabilistic Models\n\n* [Graphical Models, Exponential Families, and Variational Inference](https://scholar.google.com/scholar?q=%22Graphical%20Models%2C%20Exponential%20Families%2C%20and%20Variational%20Inference%22%20author%3A%22MJ%20Wainwright%22 \"MJ Wainwright, MI Jordan\") (2008)\n[MJ Wainwright, MI Jordan] [305pp]  \n* [An Introduction to Conditional Random Fields](https://scholar.google.com/scholar?q=%22An%20Introduction%20to%20Conditional%20Random%20Fields%22%20author%3A%22C%20Sutton%22 \"C Sutton\") (2011)\n[C Sutton] [90pp]  \n* [An Introduction to Conditional Random Fields for Relational Learning](https://scholar.google.com/scholar?q=%22An%20Introduction%20to%20Conditional%20Random%20Fields%20for%20Relational%20Learning%22%20author%3A%22C%20Sutton%22 \"C Sutton\") (2006)\n[C Sutton] [35pp]  \n* [An Introduction to Mcmc for Machine Learning](https://scholar.google.com/scholar?q=%22An%20Introduction%20to%20Mcmc%20for%20Machine%20Learning%22%20author%3A%22C%20Andrieu%22 \"C Andrieu, N DE Freitas, A Doucet, MI Jordan\") (2003)\n[C Andrieu, N DE Freitas, A Doucet, MI Jordan] [39pp]  \n* [Introduction to Probability Models](https://scholar.google.com/scholar?q=%22Introduction%20to%20Probability%20Models%22%20author%3A%22SM%20Ross%22 \"SM Ross\") (2014)\n[SM Ross] [801pp]  📚 \n\n### Recommender Systems\n\n* [Introduction to Recommender Systems Handbook](https://scholar.google.com/scholar?q=%22Introduction%20to%20Recommender%20Systems%20Handbook%22%20author%3A%22F%20Ricci%22 \"F Ricci, L Rokach, B Shapira\") (2011)\n[F Ricci, L Rokach, B Shapira] [845pp]  📚 ⭐\n* [Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions](https://scholar.google.com/scholar?q=%22Toward%20the%20Next%20Generation%20of%20Recommender%20Systems%3A%20A%20Survey%20of%20the%20State-of-the-Art%20and%20Possible%20Extensions%22%20author%3A%22G%20Adomavicius%22 \"G Adomavicius, A Tuzhilin\") (2008)\n[G Adomavicius, A Tuzhilin] [43pp]  ⭐\n* [Matrix Factorization Techniques for Recommender Systems](https://scholar.google.com/scholar?q=%22Matrix%20Factorization%20Techniques%20for%20Recommender%20Systems%22%20author%3A%22Y%20Koren%22 \"Y Koren, R Bell, C Volinsky\") (2009)\n[Y Koren, R Bell, C Volinsky] [8pp]  ⭐\n* [A Survey of Collaborative Filtering Techniques](https://scholar.google.com/scholar?q=%22A%20Survey%20of%20Collaborative%20Filtering%20Techniques%22%20author%3A%22X%20Su%22 \"X Su, TM Khoshgoftaar\") (2009)\n[X Su, TM Khoshgoftaar] [20pp]  \n\n### Reinforcement Learning\n\n* [Reinforcement Learning in Robotics: A Survey](https://scholar.google.com/scholar?q=%22Reinforcement%20Learning%20in%20Robotics%3A%20A%20Survey%22%20author%3A%22J%20Kober%22 \"J Kober, JA Bagnell, J Peterskober\") (2013)\n[J Kober, JA Bagnell, J Peterskober] [74pp]  ⭐\n* [Deep Reinforcement Learning: An Overview](https://scholar.google.com/scholar?q=%22Deep%20Reinforcement%20Learning%3A%20An%20Overview%22%20author%3A%22%20Y%20Li%22 \" Y Li\") (2017)\n[ Y Li] [30pp]  \n* [Reinforcement Learning: An Introduction](https://scholar.google.com/scholar?q=%22Reinforcement%20Learning%3A%20An%20Introduction%22%20author%3A%22RS%20Sutton%22 \"RS Sutton, AG Barto\") (2016)\n[RS Sutton, AG Barto] [398pp]  📚 \n* [Bayesian Reinforcement Learning: A Survey](https://scholar.google.com/scholar?q=%22Bayesian%20Reinforcement%20Learning%3A%20A%20Survey%22%20author%3A%22M%20Ghavamzadeh%22 \"M Ghavamzadeh, S Mannor, J Pineau\") (2016)\n[M Ghavamzadeh, S Mannor, J Pineau] [147pp]  \n* [Reinforcement Learning: A Survey](https://scholar.google.com/scholar?q=%22Reinforcement%20Learning%3A%20A%20Survey%22%20author%3A%22LP%20Kaelbling%22 \"LP Kaelbling, ML Littman, AW Moore\") (1996)\n[LP Kaelbling, ML Littman, AW Moore] [49pp]  \n* [Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art](https://scholar.google.com/scholar?q=%22Computer%20Vision%20for%20Autonomous%20Vehicles%3A%20Problems%2C%20Datasets%20and%20State-of-the-Art%22%20author%3A%22J%20Janai%22 \"J Janai, F Güney, A Behl, A Geiger\") (2017)\n[J Janai, F Güney, A Behl, A Geiger] [14pp]  \n* [Deep Learning for Video Game Playing](https://scholar.google.com/scholar?q=%22Deep%20Learning%20for%20Video%20Game%20Playing%22%20author%3A%22N%20Justesen%22 \"N Justesen, P Bontrager, J Togelius, S Risi\") (2017)\n[N Justesen, P Bontrager, J Togelius, S Risi] [16pp]  \n\n### Robotics\n\n* [Reinforcement Learning in Robotics: A Survey](https://scholar.google.com/scholar?q=%22Reinforcement%20Learning%20in%20Robotics%3A%20A%20Survey%22%20author%3A%22J%20Kober%22 \"J Kober, JA Bagnell, J Peterskober\") (2013)\n[J Kober, JA Bagnell, J Peterskober] [74pp]  ⭐\n* [A Survey of Robot Learning From Demonstration](https://scholar.google.com/scholar?q=%22A%20Survey%20of%20Robot%20Learning%20From%20Demonstration%22%20author%3A%22BD%20Argall%22 \"BD Argall, S Chernova, M Veloso\") (2009)\n[BD Argall, S Chernova, M Veloso] [15pp]  \n\n### Semi-Supervised Learning\n\n* [Semi-Supervised Learning Literature Survey](https://scholar.google.com/scholar?q=%22Semi-Supervised%20Learning%20Literature%20Survey%22%20author%3A%22X%20Zhu%22 \"X Zhu\") (2008)\n[X Zhu] [59pp]  \n\n### Submodular Functions\n\n* [Learning With Submodular Functions: A Convex Optimization Perspective](https://scholar.google.com/scholar?q=%22Learning%20With%20Submodular%20Functions%3A%20A%20Convex%20Optimization%20Perspective%22%20author%3A%22F%20Bach%22 \"F Bach\") (2013)\n[F Bach] [173pp]  \n* [Submodular Function Maximization](https://scholar.google.com/scholar?q=%22Submodular%20Function%20Maximization%22%20author%3A%22A%20Krause%22 \"A Krause, D Golovin\") (2012)\n[A Krause, D Golovin] [28pp]  \n\n### Transfer Learning\n\n* [A Survey on Transfer Learning](https://scholar.google.com/scholar?q=%22A%20Survey%20on%20Transfer%20Learning%22%20author%3A%22SJ%20Pan%22 \"SJ Pan, Q Yang\") (2010)\n[SJ Pan, Q Yang] [15pp]  ⭐\n* [Transfer Learning for Reinforcement Learning Domains: A Survey](https://scholar.google.com/scholar?q=%22Transfer%20Learning%20for%20Reinforcement%20Learning%20Domains%3A%20A%20Survey%22%20author%3A%22ME%20Taylor%22 \"ME Taylor, P Stone\") (2009)\n[ME Taylor, P Stone] [53pp]  \n\n### Unsupervised Learning\n\n* [Tutorial on Variational Autoencoders](https://scholar.google.com/scholar?q=%22Tutorial%20on%20Variational%20Autoencoders%22%20author%3A%22C%20Doersch%22 \"C Doersch\") (2016)\n[C Doersch] [65pp]  ⭐\n\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/metrofun%2Fmachine-learning-surveys/projects"}