Topic 74: Neural Networks 680


Title (link) Author Date Votes Error
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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Title (link) Lecturer Date Votes Error
Face recognition Kian Katanforoosh 2018
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RNN and Memory Joan Bruna 2016
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Pooling François Fleuret 2019
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CNNs Matt Gormley 2016
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Recursive Neural Networks Dragomir Radev 2018
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Sequence-to-sequence models and attention mechanism Yangfeng Ji 2018
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Encoder-decoder models, beam search Marine Carpuat 2018
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Feedforward Neural Networks for NLP Stephen Clark 2017
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Recurrent Networks, and Attention for Statistical Machine Translation Michael Collins, 2018
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Transposed convolutions François Fleuret 2019
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CNN and near-diagonalisation Joan Bruna 2016
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Recurrent Neural Networks Efstratios Gavves 2018
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Advanced Attention Richard Socher 2018
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Neural Nets III: RNN encoders Greg Durrett 2018
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Neural Approaches to NLP Julia Hockenmaier 2018
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Recurrent Networks, and LSTMs, for NLP Michael Collins, 2018
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Convolutional networks Svetlana Lazebnik 2018
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Convolutional Neural Networks (for NLP) Richard Socher 2016
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Structured Prediction with ConvNets Efstratios Gavves 2018
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Advanced Architectures and Memory Networks Richard Socher 2018
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Recurrent Neural Networks François Fleuret 2019
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Recursive Neural Networks Dragomir Radev 2017
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Neural Networks Ralph Grishman 2018
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Recurrent Neural Networks Richard Socher 2016
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Object detection Svetlana Lazebnik 2018
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CS11-747 Neural Networks for NLP Convolutional Networks Graham Neubig 2017
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Recursive neural network Hugo Larochelle 2017
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Long Short Term Memory Networks Dragomir Radev 2018
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LSTM and GRU François Fleuret 2019
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Long Short Term Memory Networks Dragomir Radev 2017
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Adversarial examples Svetlana Lazebnik 2018
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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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CNNs for dense image labeling Svetlana Lazebnik 2018
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RNN cell structures Sida Wang 2018
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Recursive network training Hugo Larochelle 2017
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Training CRFs - pseudo likelihood Hugo Larochelle 2017
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Recurrent Nets and Attention for System 2 Processing Yoshua Bengio 2018
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Attention Models Marine Carpuat 2018
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Generative adversarial networks Svetlana Lazebnik 2018
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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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Convolutional neural networks for NLP Yangfeng Ji 2018
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Recurrent networks Svetlana Lazebnik 2018
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Natural language processing - recursive network Hugo Larochelle 2017
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Conditional random fields - factor graph Hugo Larochelle 2017
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Seq2seq II: Attention and Pointers Greg Durrett 2018
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Conditional GANs Svetlana Lazebnik 2018
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Understanding Convnets and Knowledge Transfer Efstratios Gavves 2018
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Transformer Networks and CNNs Richard Socher 2018
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Vanishing Gradients, Fancy RNNs Richard Socher 2018
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Advanced Recursive Neural Networks Richard Socher 2016
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Memory Networks for Language Understanding Efstratios Gavves 2018
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LSTM David Bamman 2017
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Applications I: Reading comprehension / MemNets Greg Durrett 2018
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Basics of Neural Network Programming Kian Katanforoosh 2018
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Computer vision - discrete convolution Hugo Larochelle 2017
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Recurrent Neural Networks 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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LSTM GRU Jonathan Berant 2017
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Recurrent Neural Networks Dragomir Radev 2018
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Convolutional Neural Networks Stephen Clark 2017
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Seq2Seq, Attention; Generation and Dialog Julia Hockenmaier 2018
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Sequence to sequence Jonathan Berant 2017
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Natural language processing - convolutional network Hugo Larochelle 2017
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Sequence to sequence models Kian Katanforoosh 2018
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Tree Recursive Neural Networks and Constituency Parsing Richard Socher 2018
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Lecture 7: Sequence-to-Sequence Modeling and Attention Kevin Gimpel 2017
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Convolutional Neural Networks Kian Katanforoosh 2018
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Long Short Term Memory Stephen Clark 2017
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Gated RNNs David McAllester 2017
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Neural Nets IV: CNNs, Neural CRFs Greg Durrett 2018
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Word Window Classification and Neural Networks Richard Socher 2016
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seq2seq and attention Sida Wang 2018
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Recurrent Neural Networks Stephen Clark 2017
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Convolutional Networks Roger Grosse 2018
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Convolutional Neural Networks Dragomir Radev 2017
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CS11-747 Neural Networks for NLP Attention Graham Neubig 2017
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Object Detection Kian Katanforoosh 2018
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Introduction to Convolutional Neural Networks Jon Shlens 2018
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Recurrent Neural Networks Roger Grosse 2018
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Convolutions François Fleuret 2019
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Recurrent Neural Networks Dragomir Radev 2017
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Sequence-to-sequence models with attention Svetlana Lazebnik 2018
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Recurrent Neural Language Models Marine Carpuat 2018
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Understanding How ConvNets Works Roger Grosse 2018
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Title (link) Author Date Votes Error
Modelling, visualising and summarising documents with a single convolutional neural network Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas 2014
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A Convolutional Attention Network for Extreme Summarization of Source Code Miltiadis Allamanis, Hao Peng, Charles Sutton 2016
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Abstractive Sentence Summarization with Attentive Recurrent Neural Networks Sumit Chopra, Michael Auli, Alexander M. Rush 2016
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Generating News Headlines with Recurrent Neural Networks Konstantin Lopyrev 2015
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SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati, Feifei Zhai, Bowen Zhou 2016
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AttSum: Joint Learning of Focusing and Summarization with Neural Attention Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei 2016
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Distraction-Based Neural Networks for Document Summarization Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, Hui Jiang 2016
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Recurrent Neural Networks Stephen Grossberg 2013
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Title (link) Author Date Votes Error
Recurrent Neural Net describes images like Taylor Swift or Romantic Novel Samlm 2015
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Convolutional Neural Networks (CNNs): An Illustrated Explanation Abhineet Saxena 2016
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Recurrent Neural Networks for Language Processing Microsoft 2012
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Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal and Jean Ogier Du Terrail and Fr{\'{e}}d{\'{e}}ric Jurie 2018
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Recent Progress on CNNs for Object Detection and Image Compression Rahul Sukthankar 2017
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Recent Advances in Recurrent Neural Networks Hojjat Salehinejad, Sharan Sankar, Joseph Barfett, Errol Colak, Shahrokh Valaee 2018
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A Survey on Deep Learning in Medical Image Analysis "Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A.W.M. van der Laak, Bram van Ginneken, Clara I. Sanchez" 2017
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Deep Learning on Graphs: A Survey "Ziwei Zhang, Peng Cui and Wenwu Zhu" 2018
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CS 224D: Deep Learning for NLP, Lecture Notes 5 Francois Chaubard, Rohit Mundra, Richard Socher 2015
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Long Short-Term Memory Over Recursive Structures Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo 2017
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Recent Advances in Recurrent Neural Networks Hojjat Salehinejad and Julianne Baarbe and Sharan Sankar and Joseph Barfett and Errol Colak and Shahrokh Valaee 2018
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Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies Sepp Hochreiter, Yoshua Bengio, Pailo Frasconi, Jurgen Schmidhuber 2001
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What a Deep Neural Network thinks about your #selfie Andrej Karpathy 2015
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The Unreasonable Effectiveness of Recurrent Neural Networks Andrej Karpathy 2015
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Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal, Jean Ogier du Terrail, Frédéric Jurie 2018
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Neural Approaches to Conversational {AI} Jianfeng Gao and Michel Galley and Lihong Li 2018
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Deep Learning, NLP, and Representations Christopher Olah 2014
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Notes for CS231n: Convolutional Neural Networks for Visual Recognition Andrej Karpathy 2017
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Supervised sequence labelling with RNN Alex Graves 2012
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Title (link) Author Date Votes Error
Classifying Names with a Character-Level RNN: Code Sean Robertson 2017
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Recurrent Neural Network Example Aymeric Damien 2017
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Neural Networks for NLP Code Examples neubig 2019
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Convolutional Attention Network Ehud Ben-Reuven, Miltos Mallamanis 2016
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Convolutional VAE: An example with tf.keras and eager tensorflow 2018
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Tensorflow Implementation of Nested LSTM Cell hannw 2018
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DIY Neural Network ml4a 2018
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Tensorflow Implementation of Recursive Neural Networks Kai Sheng Tai, Richard Socher, and Christopher D. Manning 2017
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GraphQuestions: A Characteristic-rich Question Answering Dataset Yu Su, Huan Sun, Brian Sadler, Mudhakar Srivatsa, Izzeddin Gur, Zenghui Yan, and Xifeng Yan 2017
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Predefined Sparseness in Recurrent Sequence Models tdmeeste 2018
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Classifying Names with a Character-Level RNN: iPython Notebook Sean Robertson 2017
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Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context kimiyoung 2019
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Summarizing Source Code using a Neural Attention Model - CODENN Srinivasan Iyer 2017
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Question-Answer Dataset Noah A. Smith, Michael Heilman, Rebecca Hwa 2013
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GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Model Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec 2018
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Tree-Structured Long Short-Term Memory Networks Thai Thien 2017
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pixel-cnn++ Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma, and Yaroslav Bulatov 2017
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Convolutional Neural Net - Basic TensorFlow Cam Nugent 2017
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Image Captioning with Attention tensorflow 2018
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Convolutional Neural Network for Text Classicaition in TensorFlow Denny Britz 2015
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Attention and Augmented Recurrent Neural Networks Chris Olah, Shan Carter 2016
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Transformer lilianweng 2018
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NeuralTalk2 Andrej Karpathy, Justin Johnson 2015
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Visual Analysis for State Changes in RNNs Sebastian Gerhrmann, Hendrik Strobelt, Bernd Huber, Hanspeter Pfister, Alexander M. Rush 2016
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Graph Convolutional Networks Thomas N. Kipf, Max Welling 2017
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Automatically generate headlines to short articles Ehud Ben-Reuven 2017
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Convolutional networks ml4a 2018
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Permance RNN Author Unknown 2017
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ConvNetJS Andrej Karpathy 2015
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Attention Sum Reader Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, Tamir Klinger, Ladislav Kunc, Jan Kleindienst 2017
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Recurrent Additive Networks Kenton Lee, Omer Levy, Luke Zettlemoyer 2017
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Recurrent Neural Network Tutorial Denny Brtiz 2015
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Handwriting Synthesis with RNNs sjvasquez 2018
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Relation Classification using LSTMs on Sequences and Tree Structures Author Unknown 2017
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char-rnn Andrej Karpathy 2014
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MNIST classification by TensorFlow Yoshihiro Sugi 2017
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Transforming-Autoencoder-TF Nikhil Mehta 2017
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convisualize Sarthak Gupta 2018
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LSTMs for Human Activity Recognition Guillaume Chevalier 2017
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Song Lyrics Generator Author Unknown 2017
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Tutoriel sur les réseaux neuronaux récurrents Jean Philippe Reid 2018
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Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT) Iulian Vlad Serban and Alessandro Sordoni 2017
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Long Short Term Memory Units Wojciech Zaremba 2015
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Quasi-Recurrent Neural Network (QRNN) for PyTorch Salesforce 2017
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Reference Implementation of Recursive Cortical Network (RCN) Yann LeCun, Corinna Cortes 2017
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The Annotated Transformer Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan Gomez, Lukasz Kaiser, Illia Polosukhin 2018
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RNNLIB Alex Graves 2013
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Latent Alignment and Variational Attention harvardnlp 2018
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Attention-Based Summarization Alexander M. Rush, Sumit Chopra, Jason Weston 2015
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Crypto-RNN: Decoding Polyalphabetic Ciphers with Recurrent Neural Networks Sam Greydanus 2017
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Differentiable Neural Computer (DNC) Jason Ramapuram 2016
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tree_rnn ofirnachum 2017
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Convolutional Neural Networks for Sentence Classification Yoon Kim 2016
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RNN/LSTM auto encoder with sequence learning approaches sq6ra 2016
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RNNLG Shawn Wen 2016
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Bi-directional Attention Flow for Machine Comprehension Minjoon Seo 2016
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Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai, Richard Socher, Christopher D. Manning 2015
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Can Convolutional Neural Networks Crack Sudoku Puzzles? Kyubyong 2017
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LISA: Linguistically-Informed Self-Attention strubell 2018
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Colorless green RNNs K. Gulordava, P. Bojanowski, E. Grave, T. Linzen, M. Baroni 2018
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Convolution arithmetic Vincent Dumoulin, Francesco Visin 2018
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PathLSTM Michael Roth, Mirella Lapata 2017
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Sentence Convolution Code in Torch Yoon Kim 2017
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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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Zoph_RNN: A C++/CUDA toolkit for training sequence and sequence-to-sequence models across multiple GPUs Xing Shi 2017
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Contextual RNN-GANs for Abstract Reasoning Diagram Generation: code Arnab Ghosh, Viveka Kulharia, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal 2016
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Neural Caption Generator with Attention Taeksoo Kim 2015
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DyNet implementation of stack LSTM experiments by Grefenstette et al. Brian DuSell 2017
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Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow Matterport 2017
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Sketch-RNN: A Generative Model for Vector Drawings Google 2017
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A Convolutional Attention Network for Extreme Summarization of Source Code Ehud Ben-Reuven, Miltos Mallamanis 2016
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Graph Convolutional Networks in PyTorch Thomas Kipf 2018
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Pretrained ConvNets for pytorch Remi Cadene 2018
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Top-down Tree LSTM Xingxing Zhang, Liang Lu, Mirella Lapata 2016
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Wikianswers Author Unknown 2017
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Classifying-Earthquakes David Clark 2016
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EUREKA for LSTM Ashish Vaswani 2017
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Stack RNN Armand Joulin, Tomas Mikolov 2015
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Neural Programmer Arvind Neelakantan, Quoc V. Le, Mart´?n Abadi, Andrew McCallum, Dario Amodei 2017
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NeuralKart - A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER rameshvarun 2017
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LeNet-5, convolutional neural networks Author Unknown 2017
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Practical_2_Convolutional_Neural_Networks Deep Learning Indaba 2018
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Convolutional Neural Network demo Siraj Raval 2017
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Fast Recurrent Networks Library Greg Diamos 2016
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Enhanced LTSM for natural language inference Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, Hui Jiang, Diana Inkpen 2017
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Sign-Language Dibakar Saha 2018
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Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings John Wieting, Kevin Gimpel 2017
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Multi-Perspective Convolutional Neural Networks for Modeling Textual Similarity hohoCode 2017
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Recurrent Convolutional Neural Network Text Classifier Michael A. Alcorn 2017
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Implementation of Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Hyun Oh Song 2015
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Convolutional Neural Networks for Matlab for classification and segmentation Sergey Demyanov 2013
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Character-level text classification puyash 2017
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Recurrent Neural Networks: Character RNNs with Keras ml4a 2017
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SoundNet: Learning Sound Representations From Unlabeled Video Yusuf Aytar, Carl Vondrick, Antonio Torralba 2016
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Pytorch implementation of Hinton's Dynamic Routing Between Capsules Tim Omernick 2017
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Memory-Augmented Neural Networks Alexander Miller 2015
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Title (link) Author Date Votes Error
A Light Introduction to Transformer-XL Elvis 2019
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Animated RNN, LSTM and GRU Raimi Karim 2018
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Building Convolutional Neural Network using NumPy from Scratch Ahmed Gad 2018
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Introduction to Convolutional Neural Networks Jianxin Wu 2017
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Minimal Character-level Language Model with Vanilla Recurrent Nural Network Multiple Authors 2017
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When Recurrent Models Don't Need to be Recurrent John Miller 2018
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Recurrent Neural Networks for Language Modeling Mohit Deshpande 2017
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A Friendly Introduction to Convolutional Neural Networks Ifu Aniemeka 2017
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Visualizing LSTM Networks. Part I. Piotr Tempczyk 2018
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Neural Networks V: Back-Propagation Pablo Ruiz Ruiz 2018
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Convolutional Neural Network?—?II Mandar Deshpande 2017
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Demystifying Convolutional Neural Networks Ravindra Parmar 2018
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CNN in numpy: Let's calculate CNN manually Chris Hoyean Song 2017
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CNN Insights : Hiding input tokens to reveal classification focus. Part 5 of 7 Noel Kennedy 2018
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When Recurrent Models Don't Need to be Recurrent John Miller 2018
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Backpropagation In Convolutional Neural Networks Jefkine 2016
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[Learning Note] Dropout in Recurrent Networks?—?Part 1 CeShine Lee 2017
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How do CNNs Deal with Position Differences Pete Warden 2017
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Only Numpy: Deriving Forward feed and Back Propagation in Long Short Term Memory (LSTM) part 1 Jae Duk Seo 2018
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Only Numpy: Vanilla Recurrent Neural Network with Activation Deriving Back propagation Through Time Practice?—?part 2/2 Jae Duk Seo 2017
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Introduction to Sequence Models — RNN, Bidirectional RNN, LSTM, GRU Rohith Gandhi 2018
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Components of convolutional neural networks John Olafenwa 2018
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Seq2Seq model using Convolutional Neural Network Gautam Karmakar 2018
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Finding Similar Names with Matrix Factorization Kasper Van Lombeek 2018
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Convolutional Neural Networks in Python with Keras Aditya Sharma 2017
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How to Fit Large Neural Networks on the Edge Bharath Raj 2018
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Transfer Learning with Convolutional Neural Networks in PyTorch Will Koehrsen 2018
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A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs) Neelabh Pant 2017
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Feedforward neural network and backprop Sida Wang 2018
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ML Algorithms Addendum: Hopfield Networks Giuseppe Bonaccorso 2017
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CNN insights: Scoring token-sequences by their relevance. Part 6 of 7 Noel Kennedy 2018
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A review of Dropout as applied to RNNs Adrian G 2018
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Only Numpy: Implementing Convolutional Neural Network using Numpy ( Deriving Forward Feed and Back Propagation ) with interactive code Jae Duk Seo 2018
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[Learning Note] Dropout in Recurrent Networks?—?Part 2 CeShine Lee 2017
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Image Classification using Feedforward Neural Network in Keras Vikas Gupta 2017
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Text Classification Using LSTM and visualize Word Embeddings: Part-1 Sabber Ahamed 2018
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Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017) Fei-Fei Li, Justin Johnson, Serena Yeung 2017
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Disassembling Recurrent Neural Networks Anish Agarwal 2018
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Introduction to Recurrent Neural Networks in Pytorch cpuheater 2017
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Multi-state LSTMs for categorical features Kwyk 2017
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Building Convolutional Neural Network using NumPy from Scratch Ahmed Gad 2018
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Essentials of Deep Learning: Introduction to Long Short Term Memory Pranjal Srivastava 2017
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An Introduction to Recurrent Neural Networks Suvro Banerjee 2018
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ResNet, AlexNet, VGG, Inception: Understanding various architectures of Convolutional Networks Koustubh 2018
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Attention Mechanism in Neural Network Pranoy Radhakrishnan 2017
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Neural Net in 10 Frameworks Ilia Karmanov 2017
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Exploring Quantum Neural Networks Jarrod McClean, Hartmut Neven 2018
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Text Classification Using CNN, LSTM and visualize Word Embeddings: Part-2 Sabber Ahamed 2018
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Inverse Text Normalization as a Labeling Problem Siri Team 2017
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Uncovering compositional structure in neural networks Tom McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky 2019
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Computer Vision : A study on different CNN architectures and their applications. Yash upadhyay 2019
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Conditional Random Fields as Recurrent Neural Networks Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr 2017
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CNN Insights: Series conclusion. Part 7 of 7 Noel Kennedy 2018
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Chapter 8 .1: Code for Convolutional neural networks(Tensorflow and Keras-Theano). Madhu Sanjeevi 2017
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[Learning Note] Dropout in Recurrent Networks?—?Part 3 CeShine Lee 2017
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The Illustrated Transformer Jay Alammar 2018
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Do Filters Dream of Convolutional Cats Naoki Shibuya 2017
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Time Series Forecasting with RNNs Marek Galovič 2018
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Understanding Neural Networks: What, How and Why? Eugenia Inzaugarat 2018
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Understanding the RNN attention model Nir Arbel 2019
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Fun With ConvNets (dataviz!) Kireet Reddy 2018
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Keras LSTM tutorial – How to easily build a powerful deep learning language model Andy Thomas 2018
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Generating Text with RNNs in 4 Lines of Code Matthew Mayo 2018
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A Brief Overview of Attention Mechanism Synced 2017
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Neural networks as Ordinary Differential Equations Kevin Gibson 2018
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Building a convolutional neural network for natural language processing David Bressler 2018
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Dilated Recurrent Neural Networks Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas Huang 2017
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Applied Deep Learning - Part 4: Convolutional Neural Networks Arden Dertat 2017
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Text Classification Using CNN, LSTM and Pre-trained Glove Word Embeddings: Part-3 Sabber Ahamed 2018
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Question answering on the Facebook bAbi dataset using recurrent neural networks and 175 lines of Python + Keras Stephen Merity 2015
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Architectures N/A 2019
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What is wrong with Convolutional neural networks? Mahmoud Tarrasse 2018
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Understanding Graph Convolutional Networks Irene Li 2019
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Intuitively Understanding Convolutions for Deep Learning Irhum Shafkat 2018
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Chapter 8 .0: Convolutional neural networks for deep learning. Madhu Sanjeevi 2017
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Attention? Attention! Lilian Weng 2018
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Convolutional Attention Model for Natural Language Inference Marek Galovic 2017
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Recurrent Neural Networks by Example in Python Will Koehrsen 2018
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Understanding Neural Networks. From neuron to RNN, CNN, and Deep Learning Vibhor Nigam 2018
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Transformers: Attention in Disguise Mihail Eric 2018
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A deeper look at “Deep” Independent Component Analysis in Tensorflow [Manual Back Prop in TF] Jae Duk Seo 2018
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