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The Effect of Efficient Messaging and Input Variability on Neural-Agent
  Iterated Language Learning

The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning

15 April 2021
Yuchen Lian
Arianna Bisazza
Tessa Verhoef
ArXivPDFHTML

Papers citing "The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning"

12 / 12 papers shown
Title
A practical introduction to the Rational Speech Act modeling framework
A practical introduction to the Rational Speech Act modeling framework
Gregory Scontras
Michael Henry Tessler
Michael Franke
35
15
0
20 May 2021
Co-evolution of language and agents in referential games
Co-evolution of language and agents in referential games
Gautier Dagan
Dieuwke Hupkes
Elia Bruni
57
35
0
10 Jan 2020
Anti-efficient encoding in emergent communication
Anti-efficient encoding in emergent communication
Rahma Chaabouni
Eugene Kharitonov
Emmanuel Dupoux
Marco Baroni
51
97
0
29 May 2019
Word-order biases in deep-agent emergent communication
Word-order biases in deep-agent emergent communication
Rahma Chaabouni
Eugene Kharitonov
A. Lazaric
Emmanuel Dupoux
Marco Baroni
147
36
0
29 May 2019
On the Convergence of Adam and Beyond
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
55
2,482
0
19 Apr 2019
Emergence of Linguistic Communication from Referential Games with
  Symbolic and Pixel Input
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
Angeliki Lazaridou
Karl Moritz Hermann
K. Tuyls
S. Clark
LLMAG
46
216
0
11 Apr 2018
Natural Language Does Not Emerge Ñaturally' in Multi-Agent Dialog
Natural Language Does Not Emerge Ñaturally' in Multi-Agent Dialog
Satwik Kottur
José M. F. Moura
Stefan Lee
Dhruv Batra
LLMAG
53
218
0
26 Jun 2017
Emergence of Language with Multi-agent Games: Learning to Communicate
  with Sequences of Symbols
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
Serhii Havrylov
Ivan Titov
LLMAG
58
286
0
31 May 2017
The cognitive roots of regularization in language
The cognitive roots of regularization in language
Vanessa Ferdinand
S. Kirby
Kenny Smith
10
52
0
09 Mar 2017
Using the Output Embedding to Improve Language Models
Using the Output Embedding to Improve Language Models
Ofir Press
Lior Wolf
51
733
0
20 Aug 2016
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
287
20,491
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
390
27,205
0
01 Sep 2014
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