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# Title Author Topic Medium Score
1 What is Natural Language Processing? bogdani 112 resource 21.18
2 Is it a boy or a girl? An introduction to Machine Learning bogdani 711 resource 21.09
3 Does the h index have predictive power? Jorge E. Hirsch 999 paper 21.04
4 Supervised similarity: Learning symmetric relations from duplicate question data Matthew Honnibal 133 tutorial 20.80
5 Do Multi-Sense Embeddings Improve Natural Language Understanding? Jiwei Li, Dan Jurafsky 999 paper 20.68
6 Can neural machine translation do simultaneous translation? Kyunghyun Cho, Masha Esipova 999 paper 20.68
7 Words or Characters? Fine-grained Gating for Reading Comprehension Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W Cohen, Ruslan Salakhutdinov 999 paper 20.59
8 Is language evolution grinding to a halt?: Exploring the life and death of words in English fiction Eitan Adam Pechenick, Christopher M. Danforth, Peter Sheridan Dodds 999 paper 20.59
9 Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Kalai 999 paper 20.59
10 What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment Hongyuan Mei, Mohit Bansal, Matthew R. Walter 999 paper 20.59
11 When are tree structures necessary for deep learning of representations? Jiwei Li, Minh-Thang Luong, Dan Jurafsky, Eudard Hovy 999 paper 20.59
12 What Do Recurrent Neural Network Grammars Learn About Syntax? Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A Smith 999 paper 20.59
13 Do Deep Convolutional Nets Really Need to be Deep and Convolutional? Gregor Urban, Krzysztof J Geras, Samira Ebrahimi Kahou, Ozlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matt Richardson 999 paper 20.59
14 Is science becoming more interdisciplinary? Measuring and mapping six research fields over time Alan L. Porter, Ismael Rafols 999 paper 20.47
15 Convolutional Neural Networks Goku Mohandas 744 tutorial 19.99
16 Vanilla Neural Network Goku Mohandas 711 tutorial 19.99
17 The e-Index, Complementing the h-Index for Excess Citations Chun-Ting Zhang 999 paper 19.94
18 Linear Regression Goku Mohandas 102 tutorial 19.76
19 Step Forward Feature Selection: A Practical Example in Python Matthew Mayo 262 resource 19.74
20 Image-to-Image Translation in Tensorflow Christopher Hesse 731 tutorial 19.22
21 Logistic Regression Goku Mohandas 516 tutorial 19.00
22 Do Altmetrics Work? Twitter and Ten Other Social Web Services Mike Thelwall, Stefanie Haustein, Vincent Larivière, Cassidy R. Sugimoto 999 paper 18.82
23 Character-level text classification: CNN Puya Sharif 744 tutorial 18.70
24 Implementing a neural Part-of-Speech tagger Jonathan K. Kummerfeld 215 resource 18.70
25 How to Escape Saddle Points Efficiently Chi Jin*, Rong Ge, Praneeth Netrapalli , Sham M. Kakade, Michael I. Jordan 187 resource 18.66
26 Chapter 5: Equation solving from Numerical Python Book Robert Johansson 131 library 18.26
27 Quadratic entropy and analysis of diversity C. R. Rao 999 paper 18.26
28 State-of-the-art neural coreference resolution for chatbots Thomas Wolf 756 tutorial 18.26
29 How do we capture structure in relational data? Matthew Das Sarma 233 resource 18.26
30 Theano Tutorial Colin Raffel 731 tutorial 17.57
31 An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship J. E. Hirsch 999 paper 17.23
32 The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution Chun-Ting Zhang 999 paper 17.23
33 Recurrent neural networks and LSTM tutorial in Python and TensorFlow Author Unknown 742 tutorial 17.13
34 Deep Learning and the Future of AI Yann LeCun 811 lecture 17.05
35 Clustering text documents using k-means F Pdregosa 57 resource 17.05
36 7 types of Artificial Neural Networks for Natural Language Processing Data Monsters 711 resource 16.58
37 Building a Logistic Regression in Python, Step by Step Susan Li 516 tutorial 16.58
38 Deep learning tutorial on Caffe technology : basic commands, Python and C++ code Christopher Bourez 731 tutorial 16.58
39 Building A Logistic Regression in Python, Step by Step Susan Li 516 resource 16.58
40 Convolutional Neural Networks Tutorial in TensorFlow Andy Thomas 744 tutorial 16.43
41 Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience Ismael Rafols, Martin Meyer 999 paper 16.05
42 37 Reasons why your Neural Network is not working Slav Ivanov 713 tutorial 15.90
43 A Good Part-of-Speech Tagger in about 200 Lines of Python Matthew Honnibal 231 tutorial 15.90
44 Deep Learning chatbots analysis - whats the actual tech behind them? Przemyslaw 756 tutorial 15.90
45 Calculus for Deep Learning Various Authors 711 resource 15.90
46 TensorFlow Dataset API tutorial – build high performance data pipelines Andy 731 resource 15.90
47 How To Understand Derivatives: The Product, Power & Chain Rules Kalid 101 tutorial 15.58
48 Python TensorFlow Tutorial – Build a Neural Network Andy Thomas 731 tutorial 14.90
49 Markov Chain Monte Carlo (MCMC) Author Unknown 221 resource 14.44
50 TensorFlow Tutorial For Beginners Karlijn Willems 731 tutorial 13.37
51 TensorFlow Tutorial For Beginners Karlijn Willems 731 tutorial 13.37
52 TensorFlow Tutorial For Beginners Karlijn Willems 731 resource 13.37
53 SippyCup Unit 1: Natural language arithmetic Bill MacCartney 365 tutorial 11.00
54 Train Neural Machine Translation Models with Sockeye Felix Hieber, Tobias Domhan 753 tutorial 9.38
55 The Traveling Salesperson Problem Author Unknown 104 tutorial 9.38
56 Recurrent Neural Networks Stephen Grossberg 741 paper 7.46
57 Quora Duplicate Questions Corpus Quora 151 corpus 1.03