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Working Memory Graphs

Working Memory Graphs

17 November 2019
Ricky Loynd
Roland Fernandez
Asli Celikyilmaz
Adith Swaminathan
Matthew J. Hausknecht
ArXivPDFHTML

Papers citing "Working Memory Graphs"

23 / 23 papers shown
Title
RTFM: Generalising to Novel Environment Dynamics via Reading
RTFM: Generalising to Novel Environment Dynamics via Reading
Victor Zhong
Tim Rocktaschel
Edward Grefenstette
LLMAG
OffRL
AI4CE
49
54
0
18 Oct 2019
Stabilizing Transformers for Reinforcement Learning
Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto
H. F. Song
Jack W. Rae
Razvan Pascanu
Çağlar Gülçehre
...
Aidan Clark
Seb Noury
M. Botvinick
N. Heess
R. Hadsell
OffRL
78
364
0
13 Oct 2019
Recurrent Independent Mechanisms
Recurrent Independent Mechanisms
Anirudh Goyal
Alex Lamb
Jordan Hoffmann
Shagun Sodhani
Sergey Levine
Yoshua Bengio
Bernhard Schölkopf
76
337
0
24 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
514
24,351
0
26 Jul 2019
Metalearned Neural Memory
Metalearned Neural Memory
Tsendsuren Munkhdalai
Alessandro Sordoni
Tong Wang
Adam Trischler
KELM
42
62
0
23 Jul 2019
Unified Language Model Pre-training for Natural Language Understanding
  and Generation
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong
Nan Yang
Wenhui Wang
Furu Wei
Xiaodong Liu
Yu Wang
Jianfeng Gao
M. Zhou
H. Hon
ELM
AI4CE
184
1,554
0
08 May 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Jiancheng Yang
Qiang Zhang
Bingbing Ni
Linguo Li
Jinxian Liu
Mengdie Zhou
Qi Tian
3DPC
73
381
0
06 Apr 2019
An investigation of model-free planning
An investigation of model-free planning
A. Guez
M. Berk Mirza
Karol Gregor
Rishabh Kabra
S. Racanière
...
Laurent Orseau
Tom Eccles
Greg Wayne
David Silver
Timothy Lillicrap
OffRL
71
114
0
11 Jan 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language
  Learning
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert
Dzmitry Bahdanau
Salem Lahlou
Lucas Willems
Chitwan Saharia
Thien Huu Nguyen
Yoshua Bengio
ELM
69
239
0
18 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.4K
94,511
0
11 Oct 2018
Relational recurrent neural networks
Relational recurrent neural networks
Adam Santoro
Ryan Faulkner
David Raposo
Jack W. Rae
Mike Chrzanowski
T. Weber
Daan Wierstra
Oriol Vinyals
Razvan Pascanu
Timothy Lillicrap
GNN
113
211
0
05 Jun 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
418
20,061
0
30 Oct 2017
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAtt
AIMat
OffRL
AI4CE
314
2,202
0
22 Sep 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
624
130,942
0
12 Jun 2017
Predicting Personal Traits from Facial Images using Convolutional Neural
  Networks Augmented with Facial Landmark Information
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information
Yoad Lewenberg
Valliappa Chockalingam
Satinder Singh
Honglak Lee
CVBM
57
304
0
29 May 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
189
8,833
0
04 Feb 2016
Deep Recurrent Q-Learning for Partially Observable MDPs
Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew J. Hausknecht
Peter Stone
104
1,677
0
23 Jul 2015
A Recurrent Latent Variable Model for Sequential Data
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung
Kyle Kastner
Laurent Dinh
Kratarth Goel
Aaron Courville
Yoshua Bengio
DRL
BDL
82
1,256
0
07 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
276
18,587
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
370
20,518
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
501
27,263
0
01 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
825
23,310
0
03 Jun 2014
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