Tracking the World State with Recurrent Entity Networks

Tracking the World State with Recurrent Entity Networks

12 December 2016

Jason Weston

Papers citing "Tracking the World State with Recurrent Entity Networks"

6 / 56 papers shown

Title
Linguistic Knowledge as Memory for Recurrent Neural Networks Bhuwan Dhingra Zhilin Yang William W. Cohen Ruslan Salakhutdinov RALM 30 37 0 07 Mar 2017
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks Min-Je Choi S. Jeong Hakjoo Oh Jaegul Choo 36 65 0 07 Mar 2017
A Comparative Study of Word Embeddings for Reading Comprehension Bhuwan Dhingra Hanxiao Liu Ruslan Salakhutdinov William W. Cohen 28 40 0 02 Mar 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 439 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 283 1,401 0 01 Dec 2016
Reasoning with Memory Augmented Neural Networks for Language Comprehension Tsendsuren Munkhdalai Hong-ye Yu 38 24 0 20 Oct 2016