Topic 7: Neural Networks and Deep Learning 3539


Title (link) Author Date Votes Error
Kings, Queens, and Counts Tom McCoy 2016
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Nothing but Net(works) Tom McCoy 2017
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NIPS 2016 Spotlight Videos NIPS Conference 2016
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Introduction to Recurrent Neural Networks rubikscode 2018
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Deep Learning Gilles Louppe 2019
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Alena Kruchkova Youtube Channel Alena Kruchkova 2017
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But what *is* a Neural Network | Deep learning, Part 1 3Blue1Brown 2017
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Tensorflow for Deep Learning Research - Lecture 4 Labhesh Patel 2017
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Applications of Deep Neural Networks Jeff Heaton 2018
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Deeplearning.ai Author Unknown 2017
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Deep Learning Book Part 1 Alena Kruchkova 2017
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Introduction to Convolutional Neural Networks rubikscode 2018
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Neural Networks for Machine Learning Geoffrey Hinton 2016
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Introduction to TensorFlow – With Python Example rubikscode 2018
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Intro to ML Lecture Notes NYU DL 2018
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Tensorflow for Deep Learning Research - Lecture 5_1 Labhesh Patel 2017
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PyTorch Lecture 01: Overview Sung Kim 2017
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CMU Neural Nets for NLP 2017 Graham Neubig 2017
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Deep Learning Book Part 2 Alena Kruchkova 2017
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Implementation of Convolutional Neural Network using Python and Keras rubikscode 2018
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TensorFlow and Deep Learning without a PhD Martin Gorner 2017
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Stanford Tensorflow Tutorials Huyen Nguyen 2017
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Mini-Course on Long Short-Term Memory Recurrent Neural Networks with Keras Jason Brownlee 2017
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Tensorflow for Deep Learning Research - Lecture 5_2 Labhesh Patel 2017
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Neural Networks and Deep Learning (Course 1 of the Deep Learning Specialization) Author Unknown 2017
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Applied Deep Learning - Part 1: Artificial Neural Networks Arden Dertat 2017
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Improving Deep Neural Networks: Hyperparameter Author Unknown 2017
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CMU Neural Nets for NLP 2017(9): Attention Graham Neubig 2017
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Part 1 - Artificial Neural Networks Author Unknown 2017
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DeepLearning.TV Author Unknown 2015
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Information Theory of Deep Learning Naftali Tishby 2017
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CS224N Midterm Review Nishith Khandwala, Barak Oshri, Lisa Wang, Juhi Naik 2017
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Structuring Machine Learning Projects (Course 3 of the Deep Learning Specialization) Author Unknown 2017
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Analyzing the Meaning of Sentences Steven Bird, Ewan Klein, Edward Loper 2014
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Introduction to TensorFlow Chris Manning, Richard Socher 2017
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Applied Deep Learning - Part 2: Real World Case Studies Arden Dertat 2017
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Part 2 - Case Studies Author Unknown 2017
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Million Song Dataset Challenge Author Unknown 2011
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Two Ways to Implement LSTM Network using Python – with TensorFlow and Keras rubikscode 2018
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Deeplearning.ai Author Unknown 2017
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Deepschool.io Sachinthaka R. Abeywardana 2017
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Understanding Long Short-Term Memory Networks (LSTMs) rubikscode 2018
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Deep Learning: Theory, Algorithms, and Applications Author Unknown 2017
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Neural Networks Hugo Larochelle 2018
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Natural Language Processing with Representation Learning Samuel Bowman and Kyunghyun Cho 2017
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Tensorflow for Deep Learning Research - Lecture 1 Labhesh Patel 2017
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Network Science Albert-Laszlo Barabasi 2015
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Tensorflow for Deep Learning Research - Lecture 2 Labhesh Patel 2017
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Artificial Neural Networks with Python - 5 - Single Layer Neural Net Cristi Vlad 2017
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Common Neural Network Activation Functions rubikscode 2017
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Artificial Neural Networks with Python - 1 - Introduction Cristi Vlad 2017
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Beyond Seq2Seq with Augmented RNNs Edward Grefenstette 2016
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Tensorflow for Deep Learning Research - Lecture 3 Labhesh Patel 2017
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A Step by Step Introduction to Deep Learning with Python: Day 1 - What is Deep Learning? Machine Learning TV 2017
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Title (link) Author Date Votes Error
Maluuba NewsQA Dataset Maluuba 2017
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Pre-trained word vectors Piotr Bojanowski, Edouard Grave, Arm, Joulin, Tomas Mikolov 2016
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Automatic Generation of Story Highlights Data Set Kristian Woodsend, Mirella Lapata 2010
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Downsampled ImageNet Aaron van den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu 2016
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Course Project Reports for 2017 for CS224n: Natural Language Processing with Deep Learning Stanford CS224n 2017
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English word vectors FaceBook fastText team 2017
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Course Project Reports for 2016 for CS224n: Natural Language Processing with Deep Learning Stanford CS224n 2016
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A Reading Comprehension Dataset for the Artificial Intelligence research community Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder and Li Deng 2017
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Course Project Reports for 2015 for CS224n: Natural Language Processing with Deep Learning Richard Socher (Instructor) 2015
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WikiTableQuestions: a Complex Real-World Question Understanding Dataset Ice Pasupat 2016
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The Quick, Draw! Dataset Google Creative Lab 2017
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The 6th Open Challenge on Question Answering Over Linked Data Christina Unger 2016
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A New Multi-Turn Multi-Domain Task-Oriented Dialogue Dataset Stanford 2017
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Pubmed Dataset George Brokos, Ion Adroutsopoulos 2018
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Word Vectors Manaal Faruqui, Chris Dyer 2016
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Addressee and Response Selection Task Hiroki Ouchi, Yuta Tsuboi 2016
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The Multi-Genre NLI Corpus Adina Williams, Nikita Nangia, Angeliki Lazaridou, Sam Bowman 2017
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Title (link) Lecturer Date Votes Error
Writing a PyTorch module François Fleuret 2019
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Future of NLP Models, Multi-task Learning and QA Systems Richard Socher 2018
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Embeddings, Extensions to Non-Euclidean Domains, Representations of Stationary Processes Joan Bruna 2016
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Introduction to NLP and Deep Learning Richard Socher 2018
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Lecture 5: Sequence-to-Sequence Modeling and Sentence Embeddings Kevin Gimpel 2017
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Restricted Boltzmann machine - extensions Hugo Larochelle 2017
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The Scattering Transform and beyond Joan Bruna 2019
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Convolutions François Fleuret 2019
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Word Embeddings Sida Wang 2018
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Deep Learning & HPC Efstratios Gavves 2018
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Autoencoders François Fleuret 2019
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Word Embeddings Stephen Clark 2017
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Implementing autograd Roger Grosse 2018
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Neural Networks I Furong Huang 2018
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Bias in NLP Lisa Fan 2019
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Deep learning - unsupervised pre-training Hugo Larochelle 2017
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Distributed representations Christopher Manning 2017
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Deep Learning: Limitations and new frontiers Ava Soleimany 2019
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Lecture 8: Neural Machine TranslaEon Kevin Gimpel 2017
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Recurrent Networks, and Attention for Statistical Machine Translation Michael Collins, 2018
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Sequence-to-sequence models with attention Svetlana Lazebnik 2018
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Tensor internals François Fleuret 2019
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Introduction Kian Katanforoosh 2018
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Neural Nets III: RNN encoders Greg Durrett 2018
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CS11-747 Neural Networks for NLP Multi-task, Multi-lingual Graham Neubig 2017
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Neural Networks Ralph Grishman 2018
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CNN and near-diagonalisation Joan Bruna 2016
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Restricted Boltzmann machine - example Hugo Larochelle 2017
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Multi-layer networks, backpropagation Svetlana Lazebnik 2018
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Recurrent Neural Networks Efstratios Gavves 2018
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Variational Autoencoders David McAllester 2017
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Neural Networks: Part 2 Hugo Larochelle 2018
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Neural Networks in Structured Prediction 2 Chris Dyer 2015
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Lexical Semantics Tom Kwiatkowski 2016
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PyTorch optimizers François Fleuret 2019
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Neural Networks in Speech Recognition Richard Socher 2016
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DL for Healthcare Kian Katanforoosh 2018
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Feedforward neural network - activation function Hugo Larochelle 2017
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Non-Euclidean Geometric Stability Joan Bruna 2019
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Applications II: Summarization Greg Durrett 2018
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Pooling François Fleuret 2019
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Representing words Sida Wang 2018
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Introduction to Neural Networks and Deep Learning Efstratios Gavves 2018
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Denoising and variational autoencoders François Fleuret 2019
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High dimension tensors François Fleuret 2019
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Neural Networks and Backpropagation Matt Gormley 2016
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Deep Learning II Furong Huang 2018
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Deep learning - deep autoencoder Hugo Larochelle 2017
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Word Embeddings in Feedforward Networks, Tagging and Dependency Parsing using Feedforward Networks Michael Collins, 2018
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A Biologically Plausible Learning Algorithm for Neural Networks Dimitry Krotov 2019
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Lecture 9: NMT, finishing up Neural NLP Kevin Gimpel 2017
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Recurrent Networks, and LSTMs, for NLP Michael Collins, 2018
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Autoencoder - loss function Hugo Larochelle 2017
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Sequence-to-sequence models and attention mechanism Yangfeng Ji 2018
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Bias-variance dilemma François Fleuret 2019
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Deep Learning Intuition Kian Katanforoosh 2018
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Recurrent Neural Networks François Fleuret 2019
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CS11-747 Neural Networks for NLP Unsupervised and Semi-supervised Graham Neubig 2017
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Neural Parsing Dragomir Radev 2017
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Adversarial examples Svetlana Lazebnik 2018
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Convolutional Neural Networks (for NLP) Richard Socher 2016
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Deep learning Hugo Larochelle 2017
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Feed-forward neural networks and back propagation algorithm Yangfeng Ji 2018
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Structured Prediction with ConvNets Efstratios Gavves 2018
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Deep Graphical Models II David McAllester 2017
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Intro to Deep Learning Tess Fernandez 2018
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Neural Networks in Structured Prediction Chris Dyer 2015
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Lecture 4: Word Embeddings (2) Kevin Gimpel 2017
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Autoencoder - denoising autoencoder Hugo Larochelle 2017
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Autoregressive models Pieter Abbeel 2019
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L2 and L1 penalties François Fleuret 2019
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How to Use Tensorboard (LIVE) Siraj Raval 2017
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Natural Language Processing: A Speech Example Dan Klein 2014
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Introduction to Neural Networks for NLP Stephen Clark 2017
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Autoencoder - definition Hugo Larochelle 2017
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Transposed convolutions François Fleuret 2019
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Distributional Semantics Ruihong Huang 2017
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Cross-entropy loss François Fleuret 2019
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The mathematics of deep learning Kian Katanforoosh 2018
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Non-volume preserving networks François Fleuret 2019
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Bag-of-Words Methods for Text Mining Ralph Grishman 2018
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Computational Graphs, Backpropagation Michael Collins, 2018
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Introduction to Deep Learning Alexander Amini 2018
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Neural networks David Sontag 2016
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Training neural networks - empirical risk minimization Hugo Larochelle 2017
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More Word Vectors Richard Socher 2016
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Image Domain Transfer Jan Kautz 2019
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Recurrent Neural Networks Richard Socher 2016
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Sparse coding - definition Hugo Larochelle 2017
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Advanced Attention Richard Socher 2018
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LSTM and GRU François Fleuret 2019
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CS11-747 Neural Networks for NLP Debugging Neural Networks for NLP Graham Neubig 2017
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Generative adversarial networks Svetlana Lazebnik 2018
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CS11-747 Neural Networks for NLP Convolutional Networks Graham Neubig 2017
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Sparse coding - dictionary update with projected gradient descent Hugo Larochelle 2017
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Backpropagation and Project Advice Richard Socher 2018
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Recursive neural network Hugo Larochelle 2017
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Gradients as Dual Vectors David McAllester 2017
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Neural Network Methods for Natural Language Processing Yoav Goldberg 2017
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Long Short Term Memory Networks Dragomir Radev 2018
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Neural network Jinho D. Choi 2017
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Lecture 3: Word Embeddings Kevin Gimpel 2017
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Text classification, bag-of-words representations Yangfeng Ji 2018
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Restricted Boltzmann machine Hugo Larochelle 2017
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Lossless compression Pieter Abbeel 2019
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Parameter initialization François Fleuret 2019
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Introduction to Neural Networks and Deep Learning Dragomir Radev 2017
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Neural Architectures, Training Neural Networks Dragomir Radev 2018
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Conditional Language Modeling Stephen Clark 2017
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Deep learning - motivation Hugo Larochelle 2017
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Convolutional networks Svetlana Lazebnik 2018
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Advanced Architectures and Memory Networks Richard Socher 2018
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Stochastic gradient descent François Fleuret 2019
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Neural Nets (wrap-up) and Decision Trees Pieter Abbeel, Dan Klein 2018
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Generative Adversarial Networks François Fleuret 2019
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Word Vectors 1 Richard Socher 2018
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stocastic gradient descent Jinho D. Choi 2017
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Neural Networks Ansaf Salleb-Aouissi 2014
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Long Short Term Memory Networks Dragomir Radev 2017
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin 2019
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Deep learning - dropout Hugo Larochelle 2017
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Sequence to Sequence Learning Richard Socher 2016
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Final Project Presentations Various 2019
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Convolutional Neural Networks Dragomir Radev 2018
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Lecture 11: Recurrent and Convolutional Neural Networks in NLP Kevin Gimpel 2016
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Feedforward neural network - capacity of single neuron Hugo Larochelle 2017
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Lecture 5: Word Vectors Kevin Gimpel 2016
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Tools for Deep Learning Dragomir Radev 2018
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RNN cell structures Sida Wang 2018
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A SUBJECT OVERVIEW Trevor Cohn 2018
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Conditional GANs Svetlana Lazebnik 2018
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Deep learning - variational bound Hugo Larochelle 2017
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Recursive network training Hugo Larochelle 2017
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Introduction and Historical Notes David McAllester 2017
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VIP Cheatsheet: Deep Learning Afshine Amidi and Shervine Amidi 2018
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Training CRFs - pseudo likelihood Hugo Larochelle 2017
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Object detection Svetlana Lazebnik 2018
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Word embeddings (I): Models Yangfeng Ji 2018
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Training neural networks - activation function derivative Hugo Larochelle 2017
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Likelihood models II Pieter Abbeel 2019
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Neural Machine Translation Graham Neubig 2019
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Architecture choice and training protocol François Fleuret 2019
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Convolutional Neural Networks for Computer Vision Efstratios Gavves 2018
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Recursive Neural Networks Dragomir Radev 2017
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Training neural networks - hidden layer gradient Hugo Larochelle 2017
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Better Conditional Language Modeling Stephen Clark 2017
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Feed-forward neural network - capacity of neural network Hugo Larochelle 2017
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Benefits of depth François Fleuret 2019
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Wasserstein GAN François Fleuret 2019
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Neural Tips and Tricks Recurrent Neural Networks Richard Socher 2016
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Neural Networks for Machine Learning Roger Grosse 2018
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Cross-lingual Word representations Shyam Upadhyay 2019
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Autoencoders Hugo Larochelle 2017
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Word Vectors Richard Socher 2016
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Convolutional Neural Networks — CNNs David McAllester 2017
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CS11-747 Neural Networks for NLP Recurrent Neural Networks Graham Neubig 2017
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Neural networks Autoencoder - undercomplete vs. overcomplete hidden layer Hugo Larochelle 2017
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Lecture 3: Words Kevin Gimpel 2016
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Deep Reinforcement Learning David McAllester 2017
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Recurrent networks Svetlana Lazebnik 2018
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Neural Networks from Scratch Kai-Wei Chang 2016
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Neural Question Answering Dragomir Radev 2018
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Basics of Neural Network Programming Kian Katanforoosh 2018
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Deep learning - DBN pretraining Hugo Larochelle 2017
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Natural language processing - recursive network Hugo Larochelle 2017
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Word Embeddings Marine Carpuat 2018
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Rate-Distortion Autoencoders David McAllester 2017
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Dive into Deep Learning MXNet Community 2018
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Conditional random fields - factor graph Hugo Larochelle 2017
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CNNs for dense image labeling Svetlana Lazebnik 2018
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Word embeddings (II): Evaluation and problems Yangfeng Ji 2018
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Autoencoder - linear autoencoder Hugo Larochelle 2017
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Likelihood models III Pieter Abbeel 2019
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DataLoader and neuro-surgery François Fleuret 2019
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Computer vision - convolutional network Hugo Larochelle 2017
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Neural Networks for NLP Julia Hockenmaier 2018
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Neural Generation, Dialogue Systems Dragomir Radev 2017
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Deep learning - difculty of training Hugo Larochelle 2017
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Situated Language Learning Stephen Clark 2017
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Natural language processing - tree inference Hugo Larochelle 2017
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Feedforward neural network Hugo Larochelle 2017
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Rectifiers François Fleuret 2019
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Conditional GAN and image translation François Fleuret 2019
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Examples of Viterbi, Forward, and Backward Jacob Eisenstein 2014
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Backpropagation Matt Gormley 2016
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Sparse coding - dictionary learning algorithm Hugo Larochelle 2017
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Gradient Descent Tricks Xavier Bresso 2017
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Training neural networks - parameter gradient Hugo Larochelle 2017
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Word Meaning: Distributional Representations and Word Sense Disambiguation Marine Carpuat 2017
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Deep Learning & Neural Networks Nathan Schneider 2018
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Understanding Convnets and Knowledge Transfer Efstratios Gavves 2018
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CS11-747 Neural Networks for NLP Models of Words Graham Neubig 2017
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Faster ML Development with TensorFlow Alexander Amini, Shanqing Cai 2018
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Vanishing Gradients, Fancy RNNs Richard Socher 2018
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Dynamic Memory Networks for Question Answering over Text and Images Richard Socher 2016
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Deep Reinforcement Learning Pieter Abbeel 2017
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Natural language processing - hierarchical output layer Hugo Larochelle 2017
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Advanced Recursive Neural Networks Richard Socher 2016
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Multilingual Models and Open Research Questions Marine Carpuat 2018
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Computation Graphs and Backpropagation David McAllester 2017
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Case Studies Kian Katanforoosh 2018
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Memory Networks for Language Understanding Efstratios Gavves 2018
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LSTM David Bamman 2017
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Recurrent Nets and Attention for System 2 Processing Yoshua Bengio 2018
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Convolutional neural networks for NLP Yangfeng Ji 2018
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Word Vectors 2 Richard Socher 2018
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Restricted Boltzmann machine - persistent CD Hugo Larochelle 2017
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Deep Sequence Modeling Ava Soleimany 2019
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Word Window Classification and Neural Networks Richard Socher 2016
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Deep Learning David R. Mortensen, Alan W. Black 2018
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Neural Machine Translation Dragomir Radev 2018
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Neural network language model Hugo Larochelle 2017
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Attention Models Marine Carpuat 2018
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Computation graphs Jonathan Berant 2017
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Introduction to Deep Learning Svetlana Lazebnik 2018
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Training neural networks - output layer gradient Hugo Larochelle 2017
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From neural networks to deep learning François Fleuret 2019
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Sparse coding - dictionary update with block-coordinate descent Hugo Larochelle 2017
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Feedforward neural network - biological inspiration Hugo Larochelle 2017
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Dropout François Fleuret 2019
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Model persistence and checkpoints François Fleuret 2019
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Examples of Viterbi, Forward, and Backward Jacob Eisenstein 2014
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PCA and Neural Networks Matt Gormley 2016
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Natural language processing - multitask learning Hugo Larochelle 2017
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One hidden layer Neural Network Kian Katanforoosh 2018
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Training neural networks - parameter initialization Hugo Larochelle 2017
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Sequence to Sequence Models for Machine Translation 2 Marine Carpuat 2017
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Morphological analysis Tom Kwiatkowski 2016
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Recurrent neural network language modeling Yangfeng Ji 2018
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Computer vision - discrete convolution Hugo Larochelle 2017
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CS11-747 Neural Networks for NLP Why is word2vec so fast? Efciency tricks for neural nets Graham Neubig 2017
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EM and PCA Matt Gormley 2016
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Recurrent Neural Networks Kian Katanforoosh 2018
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Tools for Deep Learning Dragomir Radev 2017
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Feedforward Neural Networks Michael Collins, 2018
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Sparse coding - online dictionary learning algorithm Hugo Larochelle 2017
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Neural Summarization Dragomir Radev 2018
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Neural Nets II: Word embeddings Greg Durrett 2018
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Deep Graphical Models I David McAllester 2017
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Attacking Networks with Adversarial Examples Kian Katanforoosh 2018
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ResNets and Attention Roger Grosse 2018
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Wrap up: LSTMs and Recursive Neural Networks Richard Socher 2016
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Word Embeddings Dragomir Radev 2017
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Autoencoder - contractive autoencoder Hugo Larochelle 2017
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Transformer Networks and CNNs Richard Socher 2018
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NLP and Word Embeddings Kian Katanforoosh 2018
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Autoencoder - example Hugo Larochelle 2017
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Word Embeddings Dragomir Radev 2018
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Current applications and success François Fleuret 2019
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LSTM GRU Jonathan Berant 2017
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Neural Machine Translation Richard Socher 2016
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language model Hugo Larochelle 2017
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Recurrent Neural Networks Dragomir Radev 2018
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Seq2seq II: Attention and Pointers Greg Durrett 2018
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Neural Networks: Computation Graphs, Backpropagation Marine Carpuat 2018
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Fisher Linear Discriminants Ricardo Gutierrez-Osuna 2013
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Backpropagation Roger Grosse 2018
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Bias-variance tradeoff, validation Svetlana Lazebnik 2018
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Natural language processing - convolutional network Hugo Larochelle 2017
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Training neural networks - loss function Hugo Larochelle 2017
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Applications III: Dialogue Greg Durrett 2018
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Batch normalization François Fleuret 2019
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TensorFlow and Neural Nets Review Session (notebook) Sergey Levine 2018
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La Revanche Des Neurones Dominique Cardon, Jean-Philippe Cointet, Antoine Maziéres 2018
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Neural Networks, Backpropagation, Recurrent Networks, Convolutional Networks, Deep Belief Networks, Deep Boltzman Machines Maria-Florina Balcan 2015
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Sparse coding - ZCA preprocessing Hugo Larochelle 2017
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Hyperparameter tuning Kian Katanforoosh 2018
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Training neural networks Hugo Larochelle 2017
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Sequence to Sequence Models for Machine Translation Marine Carpuat 2017
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Sequence to sequence Jonathan Berant 2017
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Neural Networks Yoav Artzi 2018
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Recurrent Neural Networks and Language Models Richard Socher 2018
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Vector Semantics Dense Vectors Dan Jurafsky 2017
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EM Algorithm Dan Roth 2018
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Sequence to sequence models Kian Katanforoosh 2018
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Project Information Neural Networks & Backprop Richard Socher 2016
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Sparse coding Hugo Larochelle 2017
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Guest Lecture: Behnam Neyshabur (IAS/NYU): Generalization in Deep Learning Behnam Neyshabur 2019
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Tree Recursive Neural Networks and Constituency Parsing Richard Socher 2018
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Basic clustering and embeddings François Fleuret 2019
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Exotic Deep Learning Efstratios Gavves 2018
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Case Studies Kian Katanforoosh 2018
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Machine Translation II: Neural Greg Durrett 2018
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Lecture 7: Sequence-to-Sequence Modeling and Attention Kevin Gimpel 2017
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Neuralconvo: Chatting with a Deep learning brain Julien Chaumond, Clément Delangue 2018
- 0 +
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- 0 +
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Report
Wasserstein GAN Martin Arjovsky, Soumith Chintala, Léon Bottou 2017
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- 0 +
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Neural Network Libraries Sony 2017
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displaCy.js: An open-source NLP visualiser for the modern web Author Unknown 2017
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MXNet Tianqi Chen, Mu Li, Eric Junyuan Xie, Bing Xu, Chiyuan Zhang, Yizhi Liu, Tianjun Xiao, Yutian Li, Yuan (Terry) Tang, Hu Shiwen, Qiang Kou (KK), Xingjian Shi, Yao Wang, Sandeep Krishnamurthy, Chuntao H 2015
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Report
neural-style Justin Johnson, Shubhanshu Mishra 2014
- 0 +
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Lasagne Jan Schlüter, Sander Dieleman, Colin Raffel, Eben Olson, Søren Kaae Sønderby, Daniel Nouri 2014
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TensorLy: Tensor Learning in Python Jean Kossaifi, Yannis Panagakis and Maja Pantic 2018
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Gensim integration with scikit-learn and Keras Chinmaya Pancholi 2017
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lda2vec: Tools for interpreting natural language cemoody 2018
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NEMATUS: Attention-based encoder-decoder model for neural machine translation Rico Sennrich 2015
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Emergent Translation in Multi-Agent Communication Jason Lee, Kyunghyun Cho, Jason Weston, Douwe Kiela 2018
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Character-Aware Neural Language Models Taehoon Kim 2015
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Tensorflow Implementation of Nested LSTM Cell hannw 2018
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Supporting Rapid Prototyping with a Deep Learning NLP Toolkit Michael Petrochuk 2018
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Allen NLP The Allen Institute for Artificial Intelligence 2017
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pixel-cnn++ Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma, and Yaroslav Bulatov 2017
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Easy-first Parser Eliyahu Kiperwasser 2016
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text2text: Implementation of variants of Sequence to Sequence model Sascha Rothe, Mostafa Dehghani 2017
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- 0 +
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- 0 +
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- 0 +
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Mind: A neural network library built in JavaScript Steven Miller 2017
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- 0 +
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- 0 +
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Pre-Trained Word Vectors of 30+ languages Kyubyong 2017
- 0 +
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- 0 +
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- 0 +
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- 0 +
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Word Embeddings and Document Vectors Ashok Chilakapati 2018
- 0 +
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Success with Style: Using Writing Style to Predict the Success of Novels. Vikas Ashok, Song Feng, and Yejin Choi 2013
- 0 +
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translit-rnn: Automatic transliteration with LSTM Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Karen Hambardzumyan, Arman Yeghiazaryan 2016
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seq2seq Anna Goldie, Denny Britz 2017
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finetune-transformer-lm openai 2018
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- 0 +
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- 0 +
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- 0 +
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