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Symbolic Behaviour in Artificial Intelligence

Symbolic Behaviour in Artificial Intelligence

5 February 2021
Adam Santoro
Andrew Kyle Lampinen
Kory W. Mathewson
Timothy Lillicrap
David Raposo
ArXivPDFHTML

Papers citing "Symbolic Behaviour in Artificial Intelligence"

45 / 45 papers shown
Title
Beyond the Imitation Game: Quantifying and extrapolating the
  capabilities of language models
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava
Abhinav Rastogi
Abhishek Rao
Abu Awal Md Shoeb
Abubakar Abid
...
Zhuoye Zhao
Zijian Wang
Zijie J. Wang
Zirui Wang
Ziyi Wu
ELM
158
1,749
0
09 Jun 2022
Primer: Searching for Efficient Transformers for Language Modeling
Primer: Searching for Efficient Transformers for Language Modeling
David R. So
Wojciech Mañke
Hanxiao Liu
Zihang Dai
Noam M. Shazeer
Quoc V. Le
VLM
240
155
0
17 Sep 2021
Teaching Autoregressive Language Models Complex Tasks By Demonstration
Teaching Autoregressive Language Models Complex Tasks By Demonstration
Gabriel Recchia
55
22
0
05 Sep 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
120
3,742
0
03 Sep 2021
Program Synthesis with Large Language Models
Program Synthesis with Large Language Models
Jacob Austin
Augustus Odena
Maxwell Nye
Maarten Bosma
Henryk Michalewski
...
Ellen Jiang
Carrie J. Cai
Michael Terry
Quoc V. Le
Charles Sutton
ELM
AIMat
ReCod
ALM
180
1,937
0
16 Aug 2021
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
...
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
93
189
0
27 Jul 2021
Improving Coherence and Consistency in Neural Sequence Models with
  Dual-System, Neuro-Symbolic Reasoning
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye
Michael Henry Tessler
J. Tenenbaum
Brenden M. Lake
58
119
0
06 Jul 2021
Implicit Representations of Meaning in Neural Language Models
Implicit Representations of Meaning in Neural Language Models
Belinda Z. Li
Maxwell Nye
Jacob Andreas
NAI
MILM
53
176
0
01 Jun 2021
Flexible Compositional Learning of Structured Visual Concepts
Flexible Compositional Learning of Structured Visual Concepts
Yanli Zhou
Brenden M. Lake
OCL
CoGe
34
7
0
20 May 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
302
384
0
28 Feb 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
826
29,341
0
26 Feb 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu
M. Rabe
Wenda Li
Jimmy Ba
Roger C. Grosse
Christian Szegedy
AIMat
LRM
106
57
0
15 Jan 2021
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
90
307
0
10 Dec 2020
Imitating Interactive Intelligence
Imitating Interactive Intelligence
Josh Abramson
Arun Ahuja
Iain Barr
Arthur Brussee
Federico Carnevale
...
Greg Wayne
Duncan Williams
Nathaniel Wong
Chen Yan
Rui Zhu
LM&Ro
49
71
0
10 Dec 2020
Meta-learning in natural and artificial intelligence
Meta-learning in natural and artificial intelligence
Jane X. Wang
66
114
0
26 Nov 2020
Grounded Language Learning Fast and Slow
Grounded Language Learning Fast and Slow
Felix Hill
O. Tieleman
Tamara von Glehn
Nathaniel Wong
Hamza Merzic
S. Clark
LM&Ro
83
81
0
03 Sep 2020
Learning to summarize from human feedback
Learning to summarize from human feedback
Nisan Stiennon
Long Ouyang
Jeff Wu
Daniel M. Ziegler
Ryan J. Lowe
Chelsea Voss
Alec Radford
Dario Amodei
Paul Christiano
ALM
218
2,124
0
02 Sep 2020
Compositional Generalization in Semantic Parsing: Pre-training vs.
  Specialized Architectures
Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures
Daniel Furrer
Marc van Zee
Nathan Scales
Nathanael Scharli
CoGe
68
114
0
17 Jul 2020
DreamCoder: Growing generalizable, interpretable knowledge with
  wake-sleep Bayesian program learning
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Kevin Ellis
Catherine Wong
Maxwell Nye
Mathias Sablé-Meyer
Luc Cary
Lucas Morales
Luke B. Hewitt
Armando Solar-Lezama
J. Tenenbaum
NAI
CLL
87
193
0
15 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era
Emergent Multi-Agent Communication in the Deep Learning Era
Angeliki Lazaridou
Marco Baroni
AI4CE
115
203
0
03 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
706
41,736
0
28 May 2020
A Transformer-based Approach for Source Code Summarization
A Transformer-based Approach for Source Code Summarization
Wasi Uddin Ahmad
Saikat Chakraborty
Baishakhi Ray
Kai-Wei Chang
ViT
82
379
0
01 May 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
G. Marcus
VLM
63
365
0
14 Feb 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
543
4,797
0
23 Jan 2020
The Use of Deep Learning for Symbolic Integration: A Review of (Lample
  and Charton, 2019)
The Use of Deep Learning for Symbolic Integration: A Review of (Lample and Charton, 2019)
E. Davis
42
23
0
12 Dec 2019
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
64
322
0
04 Dec 2019
Deep Learning for Symbolic Mathematics
Deep Learning for Symbolic Mathematics
Guillaume Lample
François Charton
3DGS
98
411
0
02 Dec 2019
Evaluating Commonsense in Pre-trained Language Models
Evaluating Commonsense in Pre-trained Language Models
Xuhui Zhou
Yue Zhang
Leyang Cui
Dandan Huang
AI4MH
LRM
53
183
0
27 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
385
20,114
0
23 Oct 2019
Solving Rubik's Cube with a Robot Hand
Solving Rubik's Cube with a Robot Hand
OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Ma-teusz Litwin
...
Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
ODL
113
1,226
0
16 Oct 2019
Environmental drivers of systematicity and generalization in a situated
  agent
Environmental drivers of systematicity and generalization in a situated agent
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
83
107
0
01 Oct 2019
Sample Efficient Text Summarization Using a Single Pre-Trained
  Transformer
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer
Urvashi Khandelwal
Kevin Clark
Dan Jurafsky
Lukasz Kaiser
74
80
0
21 May 2019
Distributional Semantics and Linguistic Theory
Distributional Semantics and Linguistic Theory
Gemma Boleda
50
200
0
06 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
83
1,810
0
10 Apr 2019
Analysing Mathematical Reasoning Abilities of Neural Models
Analysing Mathematical Reasoning Abilities of Neural Models
D. Saxton
Edward Grefenstette
Felix Hill
Pushmeet Kohli
LRM
174
428
0
02 Apr 2019
Human few-shot learning of compositional instructions
Human few-shot learning of compositional instructions
Brenden M. Lake
Tal Linzen
Marco Baroni
61
112
0
14 Jan 2019
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
1.6K
94,729
0
11 Oct 2018
Symbol Emergence in Cognitive Developmental Systems: a Survey
Symbol Emergence in Cognitive Developmental Systems: a Survey
T. Taniguchi
Emre Ugur
Matej Hoffmann
L. Jamone
Takayuki Nagai
...
Toshihiko Matsuka
N. Iwahashi
Erhan Öztop
J. Piater
Florentin Wörgötter
52
91
0
26 Jan 2018
Deep Learning: A Critical Appraisal
Deep Learning: A Critical Appraisal
G. Marcus
HAI
VLM
119
1,040
0
02 Jan 2018
Measuring Catastrophic Forgetting in Neural Networks
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker
Marc McClure
Angelina Abitino
Tyler L. Hayes
Christopher Kanan
CLL
105
719
0
07 Aug 2017
Grounded Language Learning in a Simulated 3D World
Grounded Language Learning in a Simulated 3D World
Karl Moritz Hermann
Felix Hill
Simon Green
Fumin Wang
Ryan Faulkner
...
Denis Teplyashin
Marcus Wainwright
C. Apps
Demis Hassabis
Phil Blunsom
LM&Ro
42
306
0
20 Jun 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
656
131,414
0
12 Jun 2017
Semantics derived automatically from language corpora contain human-like
  biases
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan
J. Bryson
Arvind Narayanan
203
2,661
0
25 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word
  Embeddings
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBM
FaML
97
3,133
0
21 Jul 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
642
31,469
0
16 Jan 2013
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