Probabilistic Reasoning via Deep Learning: Neural Association Models

24 March 2016

Papers citing "Probabilistic Reasoning via Deep Learning: Neural Association Models"

10 / 10 papers shown

Title
Solving Hard Coreference Problems Haoruo Peng Daniel Khashabi Dan Roth 25 90 0 11 Jul 2019
Knowledge Graph Embedding with Iterative Guidance from Soft Rules Shu Guo Quan Wang Lihong Wang Bin Wang Li Guo 52 218 0 30 Nov 2017
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations Felix Hill Antoine Bordes S. Chopra Jason Weston RALM 72 633 0 07 Nov 2015
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 204 4,256 0 21 Aug 2015
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Yukun Zhu Ryan Kiros R. Zemel Ruslan Salakhutdinov R. Urtasun Antonio Torralba Sanja Fidler 89 2,529 0 22 Jun 2015
A Review of Relational Machine Learning for Knowledge Graphs Maximilian Nickel Kevin Patrick Murphy Volker Tresp E. Gabrilovich 102 1,568 0 02 Mar 2015
Can recursive neural tensor networks learn logical reasoning? Samuel R. Bowman NAI 26 44 0 21 Dec 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 524 31,406 0 16 Jan 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 361 7,650 0 03 Jul 2012
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 116 7,711 0 02 Mar 2011