Topic 9: Other Topics 4027


Title (link) Author Date Votes Error
Speech and Language Processing "Daniel Jurafsky, James H. Martin" 2018
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A Survey of Code-switched Speech and Language Processing Sunayana Sitaram 2019
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A Comprehensive Survey on Graph Neural Networks Zhonghan Wu 2019
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Must-read GNN papers various 2019
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Structured Translation and Analysis of Low-Resource Languages Author Unknown 2015
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Endangered Languages Richard Littauer 2017
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Domain Adaptation Author Unknown 2017
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R Programming Guy Lebanon 2013
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction Trevor Hastie, Robert Tibshirani, Jerome Friedman 2017
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A Survey on Transfer Learning Sinno Jialin Pan, Qiang Yang 2009
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Submodular Function Maximization Andreas Krause, Daniel Golovin 2018
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Computational Modeling of Human Language Acquisition Afra Alishahi 2011
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Natural Language Processing for Historical Texts Michael Piotrowski 2012
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Spoken Content Retrieval: A Survey of Techniques and Technologies Martha Larson and Gareth J. F. Jones 2012
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Linguistic Structure Prediction Noah A. Smith 2011
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Discriminative Learning for Speech Recognition Theory and Practice Xiaodong He and Li Deng 2008
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Introduction to Arabic Natural Language Processing Nizar Y. Habash 2010
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Human Computation Edith Law and Luis von Ahn 2011
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Web Corpus Construction Roland Schäfer and Felix Bildhauer 2013
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Automated Grammatical Error Detection for Language Learners Second Edition Claudia Leacock, Martin Chodorow, Michael Gamon, Joel Tetreault 2014
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Analysis and Visualization of Citation Networks Dangzhi Zhao and Andreas Strotmann 2015
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The Elements of Statistical Learning Data Mining, Inference, and Prediction Trevor Hastie, Robert Tibshirani, Jerome Friedman 2009
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Mastering the game of Go with deep neural networks and tree search David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik 2016
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Python Programming for the Humanities Folgert Karsdorp 2015
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Python Tutorial from workshop at Center for Research on Inequalities and the Life Course Neal Caren 2014
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Cross-Lingual Word Representations: Induction and Evaluation Ivan Vulic, Anders Sogaard, Manaal Faruqui 2017
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Group Recommender Systems Judith Masthoff 2012
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Domain Adaptation Algorithms for Natural Language Processing Qi Li 2012
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Performance guarantees for transferring representations Daniel McNamara 2017
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Multiword Expression Processing: A Survey Mathieu Constant, Gül?en Eryi?it, Johanna Monti, Lonneke van der Plas, Carlos Ramisch, Michael Rosner, Amalia Todirascu 2017
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Unsupervised Compositionality Prediction of Nominal Compounds Cordeiro, Silvio and Villavicencio, Aline and Idiart, Marco and Ramisch, Carlos 2018
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LxMLS Lab Guide Day 2 LxMLS 2011 Organizers 2011
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Graphical Models in a Nutshell Daphne Koller, Nir Friedman, Lise Getoor and Ben Taskar 2017
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ICML 2018 Notes David Abel 9999
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Speech Recognition Jean-Luc Gauvain and Lori Lamel 2015
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Text-to-Speech Synthesis Text-to-Speech Synthesis 1543
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Learning Book Author Unknown 1181
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Transforming Graph Data for Statistical Relational Learning Ryan A. Rossi, Luke K. McDowell, David W. Aha, Jennifer Neville 2012
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Natural language based financial forecasting: a survey Frank Z. Xing, Erik Cambria, Roy E. Welsch 2017
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Transfer Learning for Reinforcement Learning Domains: A Survey Matthew E. Taylor, Peter Stone 2009
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Evaluative language beyond bags of words: Linguistic insights and computational applications Benamara, Farah and Taboada, Maite and Mathieu, Yannick 2017
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Title (link) Author Date Votes Error
Understanding Black-box Predictions via Influence Functions Pangwei Koh 2017
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TensorLog: A Differentiable Deductive Database William W. Cohen, Fan Yang, Kathryn Rivard Mazaitis 2016
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Detecting Communities in Weighted Graphs Black Square Media 2013
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Source code for Show, Attend and Tell: Neural Image Caption Generation with Visual Attention runnable on GPU and CPU. Kelvin Xu, Jimmy Lei Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, Yoshua Bengio 2015
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Kaldi Speech Recognition Toolkit Daniel Povey 2016
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Lucida Yunsheng Bai 2014
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Speech Kitchen Florian Metze, Eric Fosler-Lussier, Rebecca Bates 2012
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langid.py: Language Identification Marco Lui 2011
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NeuralTalk Andrej Karpathy 2014
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word_cloud Andreas Mueller, Paul Nechifor 2012
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CodaLab: A Collaborative Platform for Reproducible Research Eric Carmichael 2013
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HistWords: Word Embeddings for Historical Text William L. Hamilton, Jure Leskovec, Dan Jurafsky 2016
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Loso Fang-Pen Lin 2010
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SnowNLP: Simplified Chinese Text Processing Rui Wang 2013
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jieba Sun Junyi, Dingyuan Wang, Fukuball Lin 2012
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Open Images dataset Ivan Krasin 2016
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Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition using DeepMinds WaveNet Namju Kim, Kyubyong Park 2016
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Deep Text Corrector Alex Paino 2017
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ncnn Tencent 2019
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MatchZoo NTMC-Community 2019
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Twitter Scraper kennethreitz 2018
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RSMTool EducationalTestingService 2019
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Non-Metric Space Library (NMSLIB) Bilegsaikhan Naidan, Leonid Boytsov, Yury Malkov, David Novak, Ben Frederickson. 2018
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BioasqSummarization oaqa 2018
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Zero-shot transfer across 93 languages: Open-sourcing enhanced LASER library Holger Schwenik 2019
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Magic Paper Michael Nielsen 2017
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Cornell Natural Language Visual Reasoning (NLVR) Alane Suhr, Mike Lewis, James Yeh, and Yoav Artzi 2017
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Newspaper3k: Article scraping & curation Lucas Ou-Yang 2018
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Learning Language Representations for Typology Prediction Chaitanya Malaviya, Graham Neubig, Patrick Littell 2017
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DeepSpeech: A TensorFlow implementation of Baidu's DeepSpeech architecture Mozilla 2018
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Quiz Bowl API Pinafore 2018
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QANTA Pinafore 2018
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AudioSet: A large-scale dataset of maually annotated audio events Jort Gemmeke 2017
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Snap & Eat (formerly deep139) Alexandre Muzio, Victor Pascoal, Gabriel Iharco, Ana Carla Costa 2018
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SHAP Slundberg 2018
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datascienceworkshops/data-science-at-the-command-line Jeroen Janssens 2018
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Paraphrase.org Author Unknown 2018
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Données Catégorielles (MLP) Mila Udem 2018
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Données Catégorielles (MLP) Mila Udem 2018
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Graph Convolutional Networks for relational graphs Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling 2017
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contractions kootenpv 2017
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SymPy Tutorial Author Unknown 2018
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pg_query: Ruby extension to parse, deparse and normalize SQL queries using the PostgreSQL query parser Lukas Fittl 2015
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SciTail yinwenpeng 2018
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Dynamic Routing between Capsules Sara Sabour, Nickolas Frosst, Geoffrey E. Hinton 2018
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PeerRead Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard Hovy, Roy Schwartz 2018
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Maluuba NewsQA Maluuba 2018
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PCA_with_Iris_datsets.py HelloJahid 2018
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ONNX ONNX 2018
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YouTube-8M Author Unknown 2018
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Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy Pgmpy 2018
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atis clic-lab 2018
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Dynet_Tutorials clic-lab 2018
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GraphSAGE: Inductive Representation Learning on Large Graphs Jure Leskovec 2017
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SVCCA Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl-Dickstein 2017
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Attentive Dense Graph Propagation Module M. Kampffmeyer, Y. Chen, X. Liang, H. Wang, Y. Zhang, E.P. Xing 2018
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HNATT Zichao Yang 2016
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sg2im Justin Johnson, Agrim Gupta, Li Fei-Fei 2018
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Graph Nets library DeepMind 2018
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DeepMind Releases Graph Nets Library Synced 2018
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TranX pcyin 2018
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MACE (Multi-Annotator Competence Estimation) dirkhovy 2018
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writing-code-for-nlp-research-emnlp2018 allenai 2018
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Awesome Community Detection benedekrozemberczki 2019
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The PyTorch-Kaldi Speech Recognition Toolkit mravanelli 2019
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The Web of Know-How: Human Instructions Dataset paolo7 2017
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Multiple Sequence Alignment using Clustal Omega and T-Coffee Vijini Mallawaarachchi 2017
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Index of /SARC Author Unknown 2017
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Learn Blockchains by Building One Author Unknown 2017
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t-SNE CSV web demo Andrej Karpathy 2017
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Twoolpy Andrej Karpathy 2017
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Random Forest Demo in Javascript Andrej Karpathy 2017
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Wki-Links Amar Subramanya, Sameer Singh, Fernando Pereira, Andrew McCallum, Dave Orr 2017
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Relation Extraction Corpus Google Research Datasets 2013
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NYT-Salience Google Research Datasets 2017
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Toytree Author Unknown 2017
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Goodbooks 10k Dataset Zygmuntz 2017
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Full Reddit Submission Corpus now available (2006 thru August 2015) Stuck_In_the_Matrix 2015
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The Blog Authorship Corpus J. Schler, M. Koppel, S. Argamon, J. Pennebaker 2006
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Free Datasets Multiple Authors 2017
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WaveNet: A Generative Model for Raw Audio Aaron van den Oord, Sander Dieleman, Heiga Zen 2016
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The GDELT Project Kalev H. Leetaru 2017
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Google Knowledge Graph Search API Author Unknown 2017
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DBpedia Author Unknown 2017
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The Endangered Languages Project Alliance for Linguistic Diversity 2017
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The World Atlas of Language Structures Online Robert Forkel 2013
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LoReHLT Evaluations Staff 2017
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Indigenous Tweets Kevin Scannell 2017
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Transliterator Waleed Ammar, Chris Dyer, Noah Smith 2012
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Wammar Utils Wammar 2017
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Multilingual Embeddings Eval Portal Wammar 2017
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CIFAR-10 Dataset Alex Krizhevsky 2009
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grammar ofirnachum 2017
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Large Text Compression Benchmark Matt Mahoney 2011
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Bounter -- Counter for Large Datasets 2017 Rare Technologies 2017
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Swish Activation Dataplayer12 2017
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Plagiarism Detection J. Kasprzak and M. Brandejs 2010
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ChainsofReasoning rajarshd 2017
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The ClueWeb12 Dataset Author Unknown 2013
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The Galactic Dependencies Treebacks 1.0 Dingquan Wang, Jason Eisner 2016
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Monthly Mystery Spectrogram Webzone Robert Hagiwara 2009
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Language Emergence in Multi Agent Dialog Satwik Kottur, José M. F. Moura, Stefan Lee, Dhruv Batra 2017
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Bayesian Generative Adversarial Networks in Tensorflow Yunus Saatchi, Andrew Gordon Wilson 2017
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Who did What: A Large-Scale Person-Centered Cloze Dataset Takeshi Onishi 2017
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CapsNet Geoffrey H Hinton 2017
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BlackLab Institute of Dutch Lexicology 2017
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Distributions of words across narrative time in 27,266 novels Mark Algee-Hewitt 2017
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Film Corpus 2.0 Zhichao Hu 2015
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Graph Auto-Encoders Thomas Kipf 2017
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Summarization datasets from the New York Times Annotated Corpus Kapil Thadani 2016
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Neural Image Captioning (NIC) Octavio Arriaga 2017
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BioPy David Cunningham, Jared M. Smith 2015
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Automatic-Speech-Recognition zzw922cn, nq555222, Hitesh Paul, Liujq13, Rambo Lan 2017
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Science Parse Dirk Groeneveld, Doug Downey, Amos Ng, Aria Haghighi, Russell Power 2015
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PySeqLab Ahmed Allam 2016
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Generating Images from Captions with Attention Elman Mansimov, Emilio Parisotto, Jimmy Ba and Ruslan Salakhutdinov 2016
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Searn: Search-based Structured Prediction Hal Daume III 2017
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Merlin: The Neural Network (NN) based Speech Synthesis System Zhizheng Wu, Oliver Watts, Simon King 2017
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V-REP + OpenAl Gym = RL Qin Yongliang 2017
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Smart Categorizer Author Unknown 2017
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Apache Tika Software Foundation Author Unknown 2017
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Compromise: NLP in the browser Spencer Kelly 2017
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Word Form Author Unknown 2017
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Kagome Japanese Morphological Analyzer Author Unknown 2017
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Whatlanggo: Natural Language Detection for Go Author Unknown 2017
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NLQuery: A natural language query engine on WikiData Author Unknown 2017
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Language Detection Author Unknown 2017
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Vocabulary Tasdik Rahman 2017
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Title (link) Author Date Votes Error
18 places to find data sets for data science projects Vik Paruchuri 2016
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Why Our Crazy-Smart AI Still Sucks At Transcribing Speech Jesse Jarnow 2016
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Amazon?s Alexa passes 15,000 skills, up from 10,000 in February Sarah Perez 2017
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Tombones Computer Vision Blog Tomasz Malisiewicz 2016
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General Inquirer Home Page Roger Hurwitz 2012
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Getting Started with Audio Data Analysis Faizan Shaikh 2017
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Optimality Theory 101: Constraints > Rules Gretchen McCulloch 2017
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Data for (Challenges of Data-to-Document Generation) paper Harvard NLP 2017
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Pairwise Sequence Alignment using Biopython Vijini Mallawaarachchi 2017
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DNA Sequence Data Analysis - Starting off in Bioinformatics Vijini Mallawaarachchi 2017
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Using Algorithms to Detect Fake News ? The State of the Art Bill Vorhies 2017
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My Year at Brain Colin Raffel 2017
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How I replicated an $86 million project in 57 lines of code Tait Brown 2017
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Keynote - Extracting Social Meaning From Language Dan Jurafsky 2017
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Python Text to Speech Author Unknown 2017
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End-to-end speech Anthony Ndirango 2017
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Ensemble Learning to Improve Machine Learning Results Vadim Smolyakov 2017
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The NeuroEvolution of Augmenting Topologies (NEAT) Users Page Author Unknown 2015
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Real-Time Recognition of Handwritten Chinese Characters Spanning a Large Inventory of 30,000 Characters Handwriting Recognition Team 2017
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The Conversational Intelligence Challenge na 2017
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Deep Dive Through A Graph: DFS Traversal Vaidehi Joshi 2017
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A Signal Processing Perspective For Graph Structured Information Noam Cohen 2018
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Deep Learning, Semiotics and Why Not Symbols Carlos E. Perez 2018
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The Art of Effective Visualization of Multi-dimensional Data Dipanjan (DJ) Sarkar 2018
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Neural Arithmetic Logic Units (NALU) — A new beginning? Kunal Jain 2018
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A Must-Read Introduction to Sequence Modelling (with use cases) Tavish Srivastava 2018
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Talk the Walk: Teaching AI systems to navigate New York through language Douwe Kiela, Jason Weston 2018
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TextReference N/A 2019
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[ Archived Post ] Random Notes about Bandit Problem Jae Duk Seo 2018
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The 10 Statistical Techniques Data Scientists Need to Master James Le 2017
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How to visualize decision trees Terence Parr and Prince Grover 2019
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Libraries N/A 2019
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Transfer Learning — part 1 Ilya Prokin 2018
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What is a Transformer? Maxime Allard 2019
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MCMC:Gibbs Sampling Irene Li 2015
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What’s next: seq2seq models Irene Li 2018
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To copy or not, that is the question: copying mechanism Irene Li 2018
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HMTL – Multi-task Learning for solving NLP Tasks Rani Horev 2018
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Chapter 1 - Introduction to adversarial robustness N/A 2019
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Chapter 3 - Adversarial examples, solving the inner maximization N/A 2019
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A neural network can learn to organize the world it sees into concepts—just like we do Karen Hao 2019
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Resources for BioNLP: datasets and tools Irene Li 2019
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NLP & Healthcare: Understanding the Language of Medicine Xavier Amatriain 2018
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Understanding Variational Graph Auto-Encoders Irene Li 2019
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Transfer Learning in NLP for Tweet Stance Classification Prashanth Rao 2019
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How Autoencoders work - Understanding the math and implementation N/A 2019
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Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom Dr. Alessandro Negro & Dr. Vlasta K?s 2018
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GAN — Some cool applications of GANs. Jonathan Hui 2018
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Transfer Learning - Machine Learning's Next Frontier Sebastian Ruder 2017
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Writing-editing Network: Paper Abstract Writing through Editing Mechanism Qingyun Wang, Zhihao Zhou, Lifu Huang, Spencer Whitehead, Boliang Zhang, Heng Ji, Kevin Knight 2018
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Natural Language Processing Corpora bogdani 2017
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Weighting words using Tf-Idf bogdani 2018
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Training a NER System Using a Large Dataset bogdani 2016
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TensorFlow Speech Recognition Challenge? Solution Outline Armin Oliya 2018
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Module google/universal-sentence-encoder/1 Author Unknown 2018
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Two-sample t-test and robustness John Cook 2018
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Creating an open speech recognition dataset for (almost) any language Andreas Klintberg 2017
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Training a Swedish NER-model for Stanford CoreNLP part 1 Andreas Klintberg 2015
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Pattern Author Unknown 2017
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Rosetta Columbia Applied Data Science 2017
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Using Machine Learning To Generate Human-Readable News Articles Tariq Ali 2017
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Understanding Knowledge Graphs Egor Dezhic 2018
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Understanding Probabilistic Graphical Models Egor Dezhic 2018
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Introduction to Decision Tree Learning Ishan Sharma 2018
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Genetic Algorithms Rohith Gandhi 2018
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How Did We Build Book Recommender Systems in an Hour Part 1???The Fundamentals Susan Li 2017
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How Did We Build Book Recommender Systems in An Hour Part 2???k Nearest Neighbors and Matrix Factorization Susan Li 2017
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The Confusion Matrix in statistical tests Eli Bendersky 2018
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information + visualization 2019
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VIP AI 101 CHEATSHEET Vincent Boucher 2020
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SpokenEdition - Fearless, Adversarial Journalism by The Intercept Author Unknown 2017
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13 Machine Learning & Data Science Startups from Y Combinator Winter 2016 Analytics Vidhya Content Team 2016
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Building a machine learning / deep learning workstation for under $5000 Kunal Jain 2016
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NELL: Never-Ending Language Learning Tom Mitchell, William Cohen, Estevam Hruschka, Jr. 2017
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Pink Trombone: Bare-handed Speech Synthesis Author Unknown 2017
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How Did We Build Book Recommender Systems in an Hour Part 1 - The Fundamentals Susan Li 2017
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How Did We Build Book Recommender Systems in An Hour Part 2 - k Nearest Neighbors and Matrix Factorization Susan Li 2017
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Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions Kavita Ganesan 2010
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Natural Language Analytics made simple and visual with Neo4j Michael Hunger 2012
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Summarize Opinions with a Graph - Partÿ1 Max de Marzi 2012
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A comprehensive beginner's guide to create a Time Series Forecast (with Codes in Python) Aarshay Jain 2016
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Graph NLU Dan Kondratyuk 2017
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Namebot Chris Tabor 2017
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Spotify's Discover Weekly: How machine learning finds your new music Sophia Ciocca 2017
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Social Characteristics of the Marvel Universe Cesc Rossello, Richardo Alberich, Joe Miro 2002
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How do self driving cars drive? Part 1: Lane keeping assist Eder Santana 2017
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Behind the Magic: How we built the ARKit Sudoku Solver Brad Dwyer 2017
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Gentle Introduction to Transduction in Machine Learning Jason Browniee 2017
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Become a blockchain expert in 1,384 words Tama Churchouse 2017
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Neural Nets for Generating Music Kyle McDonald 2017
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Composing Music With Recurrent Neural Networks Daniel Johnson 2015
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Low Resource Languages for Emergent Incidents (LORELEI) Boyan Onyshkevych 2014
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Glottolog Harald Hammarstrom, Robert Forkel, Martin Haspelmath 2017
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Google's Learning Software Learns to Write Learning Software Tom Simonite 2017
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Introducing custom pipelines and extensions for spaCy v2.0 Ines Montani 2017
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Language identification Edouard Grave 2017
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LEGO Color Themes as Topic Models Nathanael Aff 2017
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How powerful are Graph Convolutions? (review of Kipf & Welling, 2016) Ferenc Huszár 2016
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Overview of GANs (Generative Adversarial Networks) - Part I Zak Jost 2017
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40 Must know Questions to test a data scientist on Dimensionality Reduction techniques Ankit Gupta 2017
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Neural networks for algorithmic trading: enhancing classic strategies Alex Honchar 2017
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Speech Recognition Is Not Solved Awni Hannun 2017
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Open Source Toolkits for Speech Recognition Cindi Thompson 2017
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7 Steps to Mastering Data Preparation with Python Matthew Mayo 2017
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A Visual Guide to Evolution Strategies Studio Otoro 2017
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Chatsbots with Machine Learning: Building Neural Conversational Agents Dmitry Persiyanov 2017
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How Adversarial Attacks Work Emil Mikhailov, Roman Trusov 2017
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10 Deep Learning Projects Based on Apache MXNet Julien Simon 2017
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10 (More) Deep Learning Projects Based on Apache MXNet Julien Simon 2017
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Software 2.0 Andrej Karpathy 2017
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Regularization in Machine Learning Prashant Gupta 2017
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Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation Author Unknown 2017
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Supervised Machine Learning - Linear Regression in Python Alvin Chung 2017
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Can a deep neural network compose music Justin Svegliato 2017
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Building a Wikipedia Text Corpus for Natural Language Processing Matthew Mayo 2017
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StarCraft II RL Tutorial 1: Deepmind's StarCraft II RL Environment Chris Hoyean Song 2017
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StarCraft II RL Tutorial 2: Deepmind's pysc2: Observations Chris Hoyean Song 2017
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computational linguistics for Low-Resource Languages Alexie Palmer 2011
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A survey of transfer learning Karl Weiss, Taghi M. Khoshgoftaar and DingDing Wang 2016
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High-fidelity speech synthesis with Wave A?ron van den Oord, Yazhe Li, Igor Babuschkin 2017
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Deep Dive into Graph Traversals Sachin Malhotra 2017
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Building an Audio Classifier using Deep Neural Networks Narayan Srinivasan 2017
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Automatic Speaker Recognition using Transfer Learning Christopher Gill 2017
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Machine Translation to Shakespearian English Ludi Rehak 2017
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Show, attend and tell: Fine details of how state-of-the-art deep learning systems generate image captions Koustubh 2018
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Evolving Simple Organisms using a Genetic Algorithm and Deep Learning from Scratch with Python Nathan Rooy 2018
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Graph Optimization with NetworkX in Python Andrew Brooks 2017
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Web Scraping & NLP in Python Hugo Bowne-Anderson 2017
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Learn Audio Beat Tracking for Music Information Retrieval (with Python codes) Faizan Shaikh 2018
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Poincarè Embeddings for Representing Hierarchical Data Soham Chatterjee 2018
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How to think in graphs: An illustrative introduction to Graph Theory and its applications Vardan Grigoryan 2018
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Deep Learning From Scratch I: Computational Graphs Daniel Sabinasz 2017
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Requests for Research Sebastian Ruder 2018
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How to Calculate the Principal Component Analysis from Scratch in Python Jason Brownlee 2018
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Molecular Phylogenetics using Bio.Phylo Vijini Mallawaarachchi 2018
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Expressive Speech Synthesis with Tacotron Yuxuan Wang, RJ Skerry-Ryan 2018
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Visualising high-dimensional datasets using PCA and t-SNE in Python Luuk Derksen 2016
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Open Machine Learning Course. Topic 4. Linear Classification and Regression Yury Kashnitskiy 2018
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ASSOCIATION RULES AND THE APRIORI ALGORITHM Author Unknown 2016
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A Brief Introduction to Graphical Models and Bayesian Networks Kevin Murphy 1998
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Ultimate guide to handle Big Datasets for Machine Learning using Dask (in Python) Aishwarya Singh 2018
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NGM-Sentiment-Analysis Ravi Ramavajjala Bui 2018
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Interactive Data Visualization with D3.js Dipanjan (DJ) Sarkar 2018
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How to Code the Student?s t-Test from Scratch in Python Jason Brownlee 2018
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Transfer Learning in Natural Language Processing Prajjwal Bhargava 2018
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Tensorflow implementation of a Neural Turing Machine Mark Collier, Joeran Beel 2018
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newspaper3k 0.2.8 Author Unknown 2018
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Wikpedia for Python Author Unknown 2018
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Unsupervised machine translation: A novel approach to provide fast, accurate translations for more languages MarcAurelio Ranzato, Guillaume Lample, Myle Ott 2018
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Graph Attention Networks Petar Veli?kovi?, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò and Yoshua Bengio 2018
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ICML+ACL?18: Structure Back in Play, Translation Wants More Context Andre Martins 2018
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Domain adaptation Sebastian Ruder 2018
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Uber Introduces PyML: Their Secret Weapon for Rapid Machine Learning Development Jesus Rodriguez 2018
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Faculty Research Awards N/A 2019
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Microsoft Neural TTS Makes Machines Speak like Humans Synced 2018
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Word Mover’s Distance as a Linear Programming Problem Kwan-Yuet (Stephen) Ho 2017
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Flesch-Kincaid Readability Measure Kwan-Yuet (Stephen) Ho 2016
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Guiding Policies with Language via Meta-Learning N/A 2019
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Entailment, hypernyms: a Semantic Web Technique joined with NLP, viz. Text Mining (tidied up lay-out) Koos Vanderwilt 2017
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Victor Sanh 2018
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Deep Autoencoders N/A 2019
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Bag of Words & TF-IDF N/A 2019
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Handling Imbalanced Datasets in Deep Learning George Seif 2018
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Variational Autoencoders Explained Yoel Zeldes 2018
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Pregel: A System for Large-Scale Graph Processing Adrian Colyer 2015
- 0 +
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Deep Learning with Knowledge Graphs Andrew Jefferson 2018
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Automatic Language Identification in Texts: A Survey Tommi Jauhiainen, Marco Lui, Marcos Zampieri, Timothy Baldwin, Krister Lindén 2019
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Automatic Language Identification in Texts: A Survey Tommi Jauhiainen, Marco Lui, Marcos Zampieri, Timothy Baldwin, Krister Lindén 2019
- 0 +
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Title (link) Author Date Votes Error
Final Project Presentations Multiple 2019
- 0 +
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Intro-HLT: Building Speech Recognition Systems with the Kaldi Toolkit Sanjeev Khudanpur, Dan Povey, Jan Trmal 2016
- 0 +
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Intro-HLT: Computational Intelligence for the Humanities Tom Lippincott 2020
- 0 +
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Intro-HLT: End-to-End Speech Processing: From Pipeline to Integrated Architecture Shinji Watanabe 2020
- 0 +
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Intro-HLT: Human Speech Hynek Hermansky 2020
- 0 +
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Intro-HLT: Speech Hynek Hermansky 2020
- 0 +
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Intro-HLT: The Basic Mathematics of Automatic Speech Recognition Sanjeev Khudanpur 2000
- 0 +
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Intro-HLT: Ethics João Sedoc 2019
- 0 +
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Circuits and Mechanistic Neuroscience Adam Marblestone 2020
- 0 +
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Where Neuroscience Meets AI - Introduction Jane Wang, Adam Marblestone, Kevin Miller 2020
- 0 +
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Recent advancements at the intersection of neuroscience and AI Jane Wang 2020
- 0 +
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NLP Programming Tutorial 6 - Kana-Kanji Conversion Graham Neubig 2015
- 0 +
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End-to-End Speech Translation Jan Niehues, Elizabeth Salesky, Marco Turchi and Matteo Negri 2021
- 0 +
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Biological Learning Peter Dayan 2020
- 0 +
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Fairness and Machine Learning: Limitations and Opportunities Moritz Hardt 2020
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Geometric going beyond Euclidean data Deep Learning Michael Bronstein 2020
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ACL Tutorial: Connecting Language and Vision to Actions Part 2 Qi Wu 2018
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Linear Programming Decoders in NLP: Integer Programming, Message Passing, Dual Decomposition André Martins 2014
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Graph Formalisms for Meaning Representations: Day 5 Sorcha Gilroy, Adam Lopez 2018
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A Survey on Multi View Learning Chang Xu 2019
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Deep Learning Applied to NLP Marc Moreno-lopez 2019
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Introduction to Artificial Neural Networks and Deep Learning Sebastina Raschka 2019
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Deep Learning: From Basics to Practice Andrew Glassner 2019
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Entropy, Relative Entropy, and Mutual Information Cover and Thomas 2019
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Information Theory and Statistics Cover and Thomas 2019
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Understanding and Using Principal Component Analysis Tim Roughgarden 2019
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The Singular Value Decomposition and Low-Rank Matrix Approximations Tim Roughgarden 2019
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Natural Language Processing with Deep Learning Christopher Manning 2019
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Super VIP Cheatsheet: Machine Learning Shervine 2019
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Probability Theory Review for Machine Learning Samuel Ieong 2019
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Intro to Neural Networks Roger Grosse 2019
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Theoretical Computer Science Cheat Sheet NONE 2019
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Anticipating the Unseen and Unheard for Embodied Perception Kristen Grauman 2019
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Deep Learning: A Crash Course Andrew Glassner 2019
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Introduction to Machine Learning with SciKit-Learn Andreas Muller 2019
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Linear Algebra for Machine Learning Sargur N. Srihari 2019
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Math for Machine Learning Hal Daume III 2019
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The Matrix Cookbook Kaare Brandt Peterson 2019
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Matrix identities Sam Roweis 2019
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Mining the Social Web Matthew A. Russell 2019
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Machine Learning Tutorial Shan-Hung Wu 2019
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Deep Learning Crash Course Part 1 Andrew Glassner 2019
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Deep Learning Crash Course Part 2 Andrew Glassner 2019
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Probability Cheatsheet William Chen 2019
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Probability Theory Sargur N. Srihari 2019
- 0 +
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Python for Data Science Cheat Sheet Numpy Basics NONE 2019
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Python for Data Science Cheat Sheet Scikit-Learn NONE 2019
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A Tutorial on Machine Learning Quoc V. Le 2019
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Deep Bayesian Natural Language Processing Jen-Tzung Chien 2019
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A Beginner's Guide to the Mathematics of Neural Networks A.C.C. Coolen 2019
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An Introduction to Deep Reinforcement Learning Vincent Francois Lavet 2019
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A Selective Overview of Deep Learning Jianqing Fan 2019
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Graph-Based Meaning Representations: Design and Processing Alexander Koller 2019
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Discourse Analysis and Its Applications Shafq Joty 2019
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Discourse Processing and Its Applications Shafq Joty 2019
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Latent Structure Models for NLP Andre Martins 2019
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Wikipedia as a Resource for Text Analysis and Retrieval Marius Pasca 2019
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AlphaGo Zero Cheat Sheet NONE 2019
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Advances in Argument Mining Chris Reed 2019
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Computational Analysis of Political Texts Goran Glavas 2019
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Introduction to Linguistics for Natural Language Processing Ted Briscoe 2019
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Introduction to Linguistics Marcus Kracht 2019
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Laplacian Matrix and Applications Alice Nanyanzi 2019
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Reinforcement Learning: An Introduction Richard S. Sutton 2019
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The Singular Value Decomposition NONE 2019
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Deep Learning Based Recommender Systems: A Survey and New Perspectives Zhuai Zhang 2019
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Machine Reading Comprehension: A Literature Review Xin Zhang 2019
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Probabilistic Models with Deep Neural Networks Andres R. Masegoza 2019
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Speech Recognition: A Practical Guide NONE 2019
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Speech Recognition: Decoding NONE 2019
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Approximate Bayesian Computation Sarah Filippi 2019
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Matrix Differentiation Randal J. Barnes 2019
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Interpretability the who what why and how Sanmi Koyejo 2019
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The Power and Limits of Deep Learning Yann LeCun 2019
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Matrix Models NONE 2019
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Knowledgeable and Adversarily Robust Matrix Models Mohit Bansal 2019
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Algorithms Jeff Erickson 2019
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Introduction to BERT and Transformer: pre-trained self-attention models to leverage unlabeled corpus data Hang Dong 2019
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Introduction to Bayesian Inference Ulrich Paquet 2019
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Trends of Integration in Vision and Data Research: A Survey of Tasks, Datasets, and Methods Aditya Mogadala 2019
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Machine Learning and the Physical Sciences Giuseppe Carleo 2019
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NONE NONE 2019
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MLCC 2018 Deep Learning Lorenzo Rosasco 2019
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MLCC 2019 Variable Selection and Sparsity Lorenzo Rosasco 2019
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ML Intro 1: Shallow Stuff F. Noe 2019
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Directed Generative Nets and Statistical Mechanics F. Noe 2019
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NONE NONE 2019
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Reinforcement Learning Stefan Riezler 2019
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Regularization Networks 1: Linear Models Lorenzo Rosasco 2019
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Startups and Innovation Karim Beguir 2019
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Geometric Random Walks: A Survey Santosh Vempala 2019
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Singular Value Decomposition Venkatesan Guruswami 2019
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Final Solution Computer Science Theory for the Information Age Venkatesan Guruswami 2019
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Take Home Final Computer Science Theory for the Information Age Yuan Zhou 2019
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Computer Science Theory for the Information Age Problem Set 3 Venkatesan Guruswami 2019
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Computer Science Theory for the Information Age Problem Set 4 Venkatesan Guruswami 2019
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Computer Science Theory for the Information Age Problem Set 5 Venkatesan Guruswami 2019
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Computer Science Theory for the Information Age Problem Set 5 Solution Yuan Zhou 2019
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Computer Science Theory for the Information Age Problem Set 6 Venkatesan Guruswami 2019
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Computer Science Theory for the Information Age Problem Set 6 Solution Yuan Zhou 2019
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Neuroscience Methods Tutorial Diego Mendoza-Halliday 2019
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Tutorial on Linear Algebra Andrzej Banburski 2019
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Computational Models of Vision Pouya Bashivan 2019
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Cross-lingual Word Embeddings and Beyond Sebastian Ruder 2019
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Deep Learning Approaches to Text Production Claire Gardent 2019
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Fairness and Machine Learning Solon Barocas 2019
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How it Works: Convolutional Neural Networks NONE 2019
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Attention in Deep Learning Alex Smola 2019
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Computational modeling of human vision: Part II Kohitij Kar 2019
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Psychophysics Kohitij Kar 2019
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The brain's operating system Gabriel Kreiman 2019
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Integrating Domain-Knowledge into Deep Learning Russ Salakhutdinov 2019
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Some recent insights on Transfer Learning Samory Kpotufe 2019
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Neuroscience Tutorial 1 Francisco J. Flores 2019
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Quick overview of basic concepts in statistics NONE 2019
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Overview of computer vision Andrei Barbu 2019
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Intro to probability Andrei Barbu 2019
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Clinical Concept Embeddings Learned From Massive Sources of Multimodal Medical Data Andrew L. Beam 2019
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From RNNs to Transformers Stephan Gouws 2019
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Introduction to Deep Learning Razvan Pascanu 2019
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Bayesian framework Dimitry Vetrov 2019
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Mechanism Design Eric Sodomka 2019
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Tips from an ex-PhD student Dima Damen 2019
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Self-Supervised Learning Andrew Zisserman 2019
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Exploration-Exploitation in Reinforcement Learning Part 1 Alessandro Lazaric 2019
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Theory of Classification: A Survey of Some Recent Advances Stephane Boucheron 2019
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Bandit Problems Introduction Emilie Kaufmann 2019
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Bandit Problems Part 1 Stochastic Bandits Emilie Kaufmann 2019
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Markov Chains Guillame Obozinski 2019
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Markov Decision Processes Bruno Scherrer 2019
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Anaphora and Coreference Resolution: A Review Rhea Sukthanker 2019
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Python Code for Artificial Intelligence: Foundations for Computational Agents David L. Poole 2019
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Computer Vision Practical Session Viorica Patraucean 2019
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WordNet: Word Relations, Senses, and Disambiguation Daniel Jurafsky 2019
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Deep Learning Basics NONE 2019
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Deep Learning: State of the Art NONE 2019
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Graph Databases NONE 2019
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Handbook of Graphical Methods Marloes Maathuis 2019
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Exercises for Chapter 2: Linear Algebra Ian Goodfellow 2019
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Backpropagation for a Linear Layer Justin Johnson 2019
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- 0 +
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Algorithmic Aspects of Machine Learning Ankur Moitra 2019
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Report
Theoretical Computer Science Christos Papadimitriou 2019
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Report
Deep Learning Ian Goodfellow 2019
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Report
Interpretability: what now? Been Kim 2019
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Report
GAN Foundations Michael Chiu 2019
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Report
GAN Frontiers / Related Methods Robin Swanson 2019
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Report
Learning Paraphrastic Representations of Natural Language Sentences Kevin Gimpel 2019
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Report
Computation in Networks of Neurons in the Brain Wolfgang Maass 2019
- 0 +
Report
Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between Part 1 Partha Talukdar 2019
- 0 +
Report
Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between Part 2 Partha Talukdar 2019
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Report
Nearest Neighbors I: Regression and Classification Kamalika Chaudhuri 2019
- 0 +
Report
Nearest Neighbors II: Adversarial Examples Kamalika Chaudhuri 2019
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Report
Representation Learning on Networks Jure Leskovec 2019
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Report
Node Embeddings Jure Leskovec 2019
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Report
Applications Jure Leskovec 2019
- 0 +
Report
Neural Tangent Kernel Arthur Jacot 2019
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Report
Reasoning with Probabilistic and Deterministic Graphical Models Rina Dechter 2019
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Report
Multidimensional Mining of Massive Text Data Chao Zhang 2019
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Report
COS 597C: New Directions in Theoretical Machine Learning Lecture 2 Sanjeev Arora 2019
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Report
Data Models and Deep Networks Elchanan Mossel 2019
- 0 +
Report
From Classical Statistics to Modern Machine Learning Mikhail Belkin 2019
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Report
Transfer Learning in Natural Language Processing Sebastian Ruder 2019
- 0 +
Report
Deep Chit-Chat: Deep Learning for Chatbots Wei Wu 2019
- 0 +
Report
The Complexity of Unsupervised Learning Santosh Vempala 2019
- 0 +
Report
Introduction to Data Visualization Morine Amutorine 2019
- 0 +
Report
Sparse Network Estimation Klopp 2019
- 0 +
Report
K-Means: Relaxation and Correction Verzelen 2019
- 0 +
Report
The Five Miracles of Mirror Descent Bubeck 2019
- 0 +
Report
Matrix Concentration and Computational Linear Algebra Tropp 2019
- 0 +
Report
EM Algorithm Seminar Dimitry Vetrov 2019
- 0 +
Report
EM Algorithm for the investigation Dimitry Vetrov 2019
- 0 +
Report
Bayesian Algorithm Seminar Dimitry Vetrov 2019
- 0 +
Report
Practical Session 1 Bayesian Reasoning Dimitry Vetrov 2019
- 0 +
Report
CV Xuedong Shang 2019
- 0 +
Report
Asymptotic Efficiency in High Dimensional Covariance Estimation Vladimir Koltchinskii 2019
- 0 +
Report
Lecture 1: Introduction to Regret Analysis Sebastien Bubeck 2019
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Report
Approximate Bayesian Computation Sarah Filippi 2019
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Report
Nonparametric Analysis Nearest Neighbors and Friends Part 1 Samory Kpotufe 2019
- 0 +
Report
Nonparametric Analysis Nearest Neighbors and Friends Part 2 Samory Kpotufe 2019
- 0 +
Report
Variational Inference Shakir Mohamed 2019
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Report
Deep Learning Kevin Webster 2019
- 0 +
Report
Convolutional Neural Networks Pierre Harvey Richemond 2019
- 0 +
Report
Speech Processing Karen Livescu 2019
- 0 +
Report
Speech Processing Karen Livescu 2019
- 0 +
Report
Practical Submodularity Matthew Staib 2019
- 0 +
Report
Submodularity Stefanie Jegelka 2019
- 0 +
Report
Fairness of AI Timnit Gebru 2019
- 0 +
Report
Hamiltonian Monte Carlo Michael Betancourt 2019
- 0 +
Report
Concentration of Measure Michael Betancourt 2019
- 0 +
Report
Advanced Hamiltonian Monte Carlo Michael Betancourt 2019
- 0 +
Report
Markov Chain and Monte Carlo Michael Betancourt 2019
- 0 +
Report
How Effective is Your Classifier? Revisiting the role of metrics in machine learning Samni Koyejo 2019
- 0 +
Report
Reinforcement Learning Part 1 Katja Hoffman 2019
- 0 +
Report
Kernels Part III Lorenzo Rosaco 2019
- 0 +
Report
Kernels Part I Lorenzo Rosaco 2019
- 0 +
Report
Kernels Part II Lorenzo Rosaco 2019
- 0 +
Report
Machine Learning in Biology, Genomics, and Healthcare Barbara Engelhardt 2019
- 0 +
Report
Speech Processing Part 2 Karen Livescu 2019
- 0 +
Report
Interpretability the who what why and how Sanmi Koyejo 2019
- 0 +
Report
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial Graham Neubig 2019
- 0 +
Report
Zero-Shot Learning: A Comprehensive Evaluation of the Good, the Bad, and the Ugly Yongqin Xian 2019
- 0 +
Report
Deep Learning on Graphs: A Survey Ziwei Zhang 2019
- 0 +
Report
Few-shot Learning: A Survey Yaqing Wang 2019
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Report
Survey on Evaluation Methods for Dialogue Systems Jan Deriu 2019
- 0 +
Report
Human Visual Understanding for Cognition and Manipulation—A primer for the roboticist Martin Hjelm 2019
- 0 +
Report
A Survey of Multilingual Neural Machine Translation Raj Dabre 2019
- 0 +
Report
Challenges in Building Intelligent Open-domain Dialog Systems Minlie Huang 2019
- 0 +
Report
Cross-lingual Word Representations Sham Upadhyay 2019
- 0 +
Report
How to Wreck a Nice Beach Eric Fosler-lussier 2019
- 0 +
Report
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial Graham Neubig 2019
- 0 +
Report
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin 2019
- 0 +
Report
Foundations of Data Science Avrim Blum 2019
- 0 +
Report
Capsule Networks for NLP Will Merrill 2019
- 0 +
Report
Deep Learning for Speech and Language: Training a Multilayer Perceptron Xiavier Giro-i-Nieto 2019
- 0 +
Report
Dialogue Systems Suyi Li 2019
- 0 +
Report
Transfer Learning Irene Li 2019
- 0 +
Report
A Tutorial on Principal Component Analysis Jonathan Shiens 2019
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Report
A Guide to Convolution Arithmetic for Deep Learning Vincent Dumoulin 2019
- 0 +
Report
Towards a Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez 2019
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Report
Natural Language Processing for Precision Medicine Hoifung Poon 2019
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Report
Recent Trends in Deep Learning Based NLP Tom Young 2019
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Report
Understanding Neural Networks via Feature Visualization: A Survey Anh Nguyen 2019
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Investigating the Successes and Failures of BERT for Passage Re-Ranking Harshith Padigela 2019
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Report
A Survey on Deep Learning Based Brain Computer Interface: Recent Advances and New Frontiers Xiang Zhang 2019
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Report
Dimensionality Reduction, PCA, and SVD Kalev Kask 2019
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Report
Linear Dimensionality Reduction: Principal Component Analysis Piyush Rai 2019
- 0 +
Report
Deep Adversarial Learning for NLP William Wang 2019
- 0 +
Report
Mining Social Network Graphs NONE 2019
- 0 +
Report
Dimensionality Reduction NONE 2019
- 0 +
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Large-Scale Machine Learning NONE 2019
- 0 +
Report
Data Mining NONE 2019
- 0 +
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MapReduce and the New Software Stack NONE 2019
- 0 +
Report
Finding Similar Items NONE 2019
- 0 +
Report
Singular Value Decomposition Brunton, Kutz, & Proctor 2019
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Report
Dimensionality Reduction Victor Kitov 2019
- 0 +
Report
Dimensionality Reduction NONE 2019
- 0 +
Report
Measuring and Modeling Language Change Jacob Eisenstein 2019
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Report
A Theoretical Look at Adversarial Examples Tom Goldstein 2019
- 0 +
Report
Neural Networks as Sparsity Enforcing Algorithms Jeremias Sulam 2019
- 0 +
Report
Self-supervised Learning for Visual Recognition Hamed Pirsiavash 2019
- 0 +
Report
GMNN: Graph Markov Neural Networks Jian Tang 2019
- 0 +
Report
Towards Understanding Word Embeddings Carl Allen 2019
- 0 +
Report
Natural Language Understanding with Distributed Representation Kyunghyun Cho 2019
- 0 +
Report
A Survey of Cross-lingual Word Embedding Models Sebastian Ruder 2019
- 0 +
Report
A Survey of the Uses of Deep Learning in Natural Langauge Processing Daniel W. Otter 2019
- 0 +
Report
Neural Approaches to Coversational AI Jianfeng Gao 2019
- 0 +
Report
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov 2019
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Report
Text Classification Algorithms: A Survey Kamran Kowsari 2019
- 0 +
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Object Detection in 20 Years: A Survey Zhengxia Zou 2019
- 0 +
Report
Deep Learning for Spatio-Temporal Data Mining: A Survey Shenzhang Wang 2019
- 0 +
Report
Recent Advances in Population-Based Search Jeff Clune 2019
- 0 +
Report
Bayesian Inference with Tears Kevin Knight 2019
- 0 +
Report
The Hundred-Page Machine Learning Book Andriy Burkov 2019
- 0 +
Report
CS 221 Foundations NONE 2019
- 0 +
Report
Lecture 4 Backpropagation and Neural Networks Fei Fei Li 2019
- 0 +
Report
Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning Chelsea Finn 2019
- 0 +
Report
Neural Architecture Search: A Tutorial Nikhil Naik 2019
- 0 +
Report
Meta-Learning in Computer Vision and NLP Nitish Keskar 2019
- 0 +
Report
Dive into Deep Learning Aston Zhang 2019
- 0 +
Report
Fast Lane to Python Norm Matloff 2019
- 0 +
Report
Neural Approaches to Coversational AI Jianfeng Gao 2019
- 0 +
Report
Supervised Machine Learning Andreas Lindholm 2019
- 0 +
Report
Ten Quick Tips for Effective Dimensionality Reduction Lan Hong Nguyen 2019
- 0 +
Report
The Backpropagation Algorithm NONE 2019
- 0 +
Report
Mathematics for Machine Learning Garrett Thomas 2019
- 0 +
Report
Learning representations of text using neural networks Tomas Mikolov 2019
- 0 +
Report
30 Questions in Neural Machine Translation Jia Xu 2019
- 0 +
Report
IAML: Dimensionality Reduction Victor Lavrenko 2019
- 0 +
Report
Pretraining for Generation Alexander Rush 2019
- 0 +
Report
Python for Computational Science and Engineering Hans Fangohr 2019
- 0 +
Report
Transfer Learning in Natural Language Processing Sebastian Ruder 2019
- 0 +
Report
Troubleshooting Deep Neural Networks Josh Tobin 2019
- 0 +
Report
Self-Supervised Learning Andrew Zisserman 2019
- 0 +
Report
Fundamental Concentration Inequalities Guillame Obozinski 2019
- 0 +
Report
Foundations of Machine Learning Mehryar Mohri 2019
- 0 +
Report
Approximate Bayesian Computation Sarah Filippi 2019
- 0 +
Report
Nonparametric Analysis Nearest Neighbors and Friends Part 1 Samory Kpotufe 2019
- 0 +
Report
Nonparametric Analysis Nearest Neighbors and Friends Part 2 Samory Kpotufe 2019
- 0 +
Report
Variational Inference Shakir Mohamed 2019
- 0 +
Report
Deep Learning Kevin Webster 2019
- 0 +
Report
Convolutional Neural Networks Pierre Harvey Richemond 2019
- 0 +
Report
Speech Processing Karen Livescu 2019
- 0 +
Report
Practical Submodularity Matthew Staib 2019
- 0 +
Report
Submodularity Stefanie Jegelka 2019
- 0 +
Report
Fairness of AI Timnit Gebru 2019
- 0 +
Report
Hamiltonian Monte Carlo Michael Betancourt 2019
- 0 +
Report
Concentration of Measure Michael Betancourt 2019
- 0 +
Report
Advanced Hamiltonian Monte Carlo Michael Betancourt 2019
- 0 +
Report
Markov Chain and Monte Carlo Michael Betancourt 2019
- 0 +
Report
How Effective is Your Classifier? Revisiting the role of metrics in machine learning Samni Koyejo 2019
- 0 +
Report
Reinforcement Learning Part 1 Katja Hoffman 2019
- 0 +
Report
Reinforcement Learning Part 2 Katja Hoffman 2019
- 0 +
Report
Kernels Part III Lorenzo Rosaco 2019
- 0 +
Report
Kernels Part I Lorenzo Rosaco 2019
- 0 +
Report
Kernels Part II Lorenzo Rosaco 2019
- 0 +
Report
Machine Learning in Biology, Genomics, and Healthcare Barbara Engelhardt 2019
- 0 +
Report
Parameter-Efficient Transfer Learning for NLP Stanislaw Jastrzebski 2019
- 0 +
Report
Unsupervised Cross-lingual Representation Learning at Scale Alexis Conneau and Kartikay Khandelwal 2019
- 0 +
Report
Convnets from First Principles Ankit Patel 2017
- 0 +
Report
Deep Learning for Healthcare Jimeng Sun, Cao Xiao, and Edward Choi 2018
- 0 +
Report
Learning from Language Jacob Andreas 2018
- 0 +
Report
Introduction Luna Dong, Christos Faloutsos, Audrey Kan, Jun Ma, Subho Mukherjee 2018
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Report
Properties Luna Dong, Christos Faloutsos, Audrey Kan, Jun Ma, Subho Mukherjee 2018
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