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# Title Author Topic Medium Score
1 Google's Learning Software Learns to Write Learning Software Tom Simonite 999 resource 20.90
2 DeepMind and Blizzard open StarCraft II as an AI research environment Oriol Vinyals, Stephen Gaffney, Timo Ewalds 811 resource 20.19
3 Why Our Crazy-Smart AI Still Sucks At Transcribing Speech Jesse Jarnow 863 resource 20.04
4 Decoupled Neural Interfaces Using Synthetic Gradients Max Jaderberg 713 resource 19.43
5 When Government Rules by Software, Citizens are Left in The Dark Tim Simonite 999 tutorial 19.18
6 Deep Learning Isn't a Dangerous Magic Genie. It's Just Math Oren Etzioni 711 resource 19.18
7 Open-sourcing DeepMind Lab Charlie Beattie, Joel Leibo, Stig Petersen, Shane Legg 713 resource 18.26
8 AlphaGo Zero: Learning from Scratch Demis Hassabis, David Silver 811 tutorial 18.26
9 Deep Reinforcement Learning David Silver 857 resource 18.26
10 Understanding deep learning through neuron deletion Ari S Morcos, David GT Barrett, Neil C Rabinowitz, and Matthew Botvinick 711 resource 18.26
11 Learning AI if You Suck at Math?—?P4?—?Tensors Illustrated (with Cats!) Daniel Jeffries 811 tutorial 13.23
12 Deep Learning with Python Francois Chollet 711 survey 11.39
13 Theano Tutorial Colin Raffel 731 tutorial 11.22
14 Convolutional Neural Networks (LeNet) LISA LAB 744 tutorial 11.14
15 Image-to-Image Translation in Tensorflow Christopher Hesse 731 tutorial 11.05
16 Building Convolutional Neural Networks with Tensorflow Ahmet Taspinar 744 tutorial 11.02
17 A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James Allen 999 paper 10.81
18 Word2Vec is only a special case of Kernel Correspondence Analysis and Kernels for Natural Language Processing Hirotaka Niitsuma 999 paper 10.80
19 A Neural Networks Approach to Predicting How Things Might Have Turned Out Had I Mustered the Nerve to Ask Barry Cottonfield to the Junior Prom Back in 1997 Eve Armstrong 999 paper 10.75
20 Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding Huazheng Wang, Bin Gao, Jiang Bian, Fei Tian, Tie-Yan Liu 999 paper 10.74
21 A theoretically grounded application of dropout in recurrent neural networks Yarin Gal 999 paper 10.65
22 Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu 999 paper 10.65
23 Improved Relation Extraction with Feature-rich Compositional Embedding Models Matthew R. Gormley, Mo Yu, Mark Dredze 999 paper 10.65
24 A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs Shayne Longpre, Sabeek Pradhan, Caiming Xiong, Richard Socher 999 paper 10.65
25 Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks Aliaksei Severyn, Alessandro Moschitti 999 paper 10.65
26 Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov 999 paper 10.65
27 WTF is a Tensor?!? Matthew Mayo 711 resource 10.60
28 Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin 999 paper 10.57
29 Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition Furong Huang, Animashree Anandkumar 999 paper 10.57
30 Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Pei-hao Su, David Vandyke, Steve J. Young 999 paper 10.57
31 Generalized minimum dominating set and application in automatic text summarization Yi-Zhi Xu, Hai-Jun Zhou 421 paper 10.57
32 The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston 999 paper 10.57
33 A Latent Variable Recurrent Neural Network for Discourse Relation Language Models Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein 999 paper 10.57
34 Why Deep Learning is Suddenly Changing Your Life Roger Parloff 711 resource 10.23
35 New Theory Cracks Open the Black Box of Deep Learning Natalie Wolchover 811 resource 9.80
36 Beyond Seq2Seq with Augmented RNNs Edward Grefenstette 753 course 9.05
37 Learning to Answer Questions From Image using Convolutional Neural Network Lin Ma, Zhengdong Lu, Hang Li 999 paper 8.96
38 ``The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders Rémi Lebret, Ronan Collobert 999 paper 8.96
39 Improved semantic representations from tree-structured long short-term memory networks Kai Sheng Tai, Richard Socher, Christopher D Manning 999 paper 8.96
40 Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations Eliyahu Kiperwasser, Yoav Goldberg 999 paper 8.96
41 Inducing Semantic Representation from Text by Jointly Predicting and Factorizing Relations Ivan Titov, Ehsan Khoddam 999 paper 8.96
42 Text comparison using word vector representations and dimensionality reduction Hendrik Heuer 999 paper 8.96
43 Towards a formal distributional semantics: Simulating logical calculi with tensors Edward Grefenstette 999 paper 8.96
44 Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuangjing Huang 999 paper 8.96
45 Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks Uri Shaham, Roy Lederman 999 paper 8.96
46 Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering Borja Navarro-Colorado, Estela Saquete 999 paper 8.96
47 Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning Manaal Faruqui, Ryan McDonald, Radu Soricut 999 paper 8.96
48 Tree-structured composition in neural networks without tree-structured architectures Samuel R. Bowman, Christopher D. Manning, Christopher Potts 999 paper 8.96
49 An empirical evaluation of doc2vec with practical insights into document embedding generation Jey Han Lau, Timothy Baldwin 999 paper 8.96
50 Answering Complicated Question Intents Expressed in Decomposed Question Sequences Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang 999 paper 8.96
51 Towards end-to-end learning for dialog state tracking and management using deep reinforcement learning Tiancheng Zhao, Maxine Eskenazi 999 paper 8.96
52 Multi-document abstractive summarization using ilp based multi-sentence compression Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama 999 paper 8.96
53 SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati, Feifei Zhai, Bowen Zhou 741 paper 8.96
54 Motivations for Participation in Socially Networked Collective Intelligence Systems Jon Chamberlain, Udo Kruschwitz, Massimo Poesio 999 paper 8.96
55 Effective Use of Word Order for Text Categorization with Convolutional Neural Networks Rie Johnson, Tong Zhang 999 paper 8.96
56 Semi-Supervised Learning with Multi-View Embedding: Theory and Application with Convolutional Neural Networks Rie Johnson, Tong Zhang 999 paper 8.96
57 Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs Miguel Ballesteros, Chris Dyer, Noah A. Smith 999 paper 8.96
58 Semi-supervised Clustering for Short Text via Deep Representation Learning Zhiguo Wang, Haitao Mi, Abraham Ittycheriah 999 paper 8.96
59 Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings Kazuma Hashimoto, Yoshimasa Tsuruoka 999 paper 8.96
60 StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation Xiang Li, Lili Mou, Rui Yan, Ming Zhang 999 paper 8.96
61 Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein 421 paper 8.96
62 Variations of the Similarity Function of TextRank for Automated Summarization Federico Barrios, Federico López, Luis Argerich, Rosa Wachenchauzer 421 paper 8.96
63 How people make friends in social networking sites - A microscopic perspective Haibo Hu, Xiaofan Wang 999 paper 8.96
64 Effects of mass media on opinion spreading in the Sznajd sociophysics model Nuno Crokidakis 999 paper 8.96
65 Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss Barbara Plank, Anders Søgaard, Yoav Goldberg 999 paper 8.96
66 Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection Sheng-syun Shen, Hung-yi Lee 999 paper 8.96
67 Sentence-level grammatical error identification as sequence-to-sequence correction Allen Schmaltz, Yoon Kim, Alexander M Rush, Stuart M Shieber 999 paper 8.96
68 CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases Zihang Dai, Lei Li, Wei Xu 999 paper 8.96
69 Improving Coreference Resolution by Learning Entity-Level Distributed Representations Kevin Clark, Christopher D Manning 999 paper 8.96
70 Word Representation Models for Morphologically Rich Languages in Neural Machine Translation Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari 999 paper 8.96
71 Learning Semantically and Additively Compositional Distributional Representations Ran Tian, Naoaki Okazaki, Kentaro Inui 999 paper 8.96
72 All-but-the-Top: Simple and Effective Postprocessing for Word Representations Jiaqi Mu, Suma Bhat, Pramod Viswanath 999 paper 8.96
73 Language as a latent variable: Discrete generative models for sentence compression Yishu Miao, Phil Blunsom 999 paper 8.96
74 Autoextend: Extending word embeddings to embeddings for synsets and lexemes Sascha Rothe, Hinrich Schütze 999 paper 8.96
75 Robustness of Social Networks: Comparative Results Based on Distance Distributions Paolo Boldi, Marco Rosa, Sebastiano Vigna 999 paper 8.96
76 Combining Neural Networks and Log-linear Models to Improve Relation Extraction Thien Huu Nguyen, Ralph Grishman 999 paper 8.96
77 Supervised and Semi-Supervised Text Categorization using One-Hot LSTM for Region Embeddings Rie Johnson, Tong Zhang 999 paper 8.96
78 A fast and simple algorithm for training neural probabilistic language models Andriy Mnih, Yee Whye Teh 999 paper 8.96
79 End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning Jason D. Williams, Geoffrey Zweig 999 paper 8.96
80 The relationship between acquaintanceship and coauthorship in scientific collaboration networks A. Pepe 999 paper 8.96
81 Eigenvector localization as a tool to study small communities in online social networks F. Slanina, Z. Konopasek 999 paper 8.96
82 Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs Phong Le, Willem Zuidema 999 paper 8.96
83 Morphological Inflection Generation Using Character Sequence to Sequence Learning Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer 999 paper 8.96
84 Comparing Convolutional Neural Networks to Traditional Models for Slot Filling Heike Adel, Benjamin Roth, Hinrich Schütze 999 paper 8.96
85 Group Centrality for Semantic Networks: a SWOT analysis featuring Random Walks Camilo Garrido, Ricardo Mora, Claudio Gutierrez 999 paper 8.96
86 Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, Andrew McCallum 999 paper 8.96
87 Recurrent Neural Network Encoder with Attention for Community Question Answering Wei-Ning Hsu, Yu Zhang, James Glass 999 paper 8.96
88 Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach Luís Marujo, Ricardo Ribeiro, David Martins de Matos, João P. Neto, Anatole Gershman, Jaime G. Carbonell 999 paper 8.96
89 Classify or Select: Neural Architectures for Extractive Document Summarization Ramesh Nallapati, Bowen Zhou, Mingbo Ma 421 paper 8.96
90 Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization Minsoo Kim, Moirangthem Dennis Singh, Minho Lee 232 paper 8.96
91 Preferential attachment alone is not sufficient to generate scale free random networks Vijay K Samalam 999 paper 8.96
92 Reasoning about Linguistic Regularities in Word Embeddings using Matrix Manifolds Sridhar Mahadevan, Sarath Chandar 999 paper 8.96
93 A quantum teleportation inspired algorithm produces sentence meaning from word meaning and grammatical structure Stephen Clark, Bob Coecke, Edward Grefenstette, Stephen Pulman, Mehrnoosh Sadrzadeh 999 paper 8.96