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Training a First-Order Theorem Prover from Synthetic Data

Training a First-Order Theorem Prover from Synthetic Data

5 March 2021
Vlad Firoiu
Eser Aygun
Ankit Anand
Zafarali Ahmed
Xavier Glorot
Laurent Orseau
Lei Zhang
Doina Precup
Shibl Mourad
    NAI
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Papers citing "Training a First-Order Theorem Prover from Synthetic Data"

13 / 13 papers shown
Title
Proof Artifact Co-training for Theorem Proving with Language Models
Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han
Jason M. Rute
Yuhuai Wu
Edward W. Ayers
Stanislas Polu
AIMat
81
121
0
11 Feb 2021
A Generalization of Transformer Networks to Graphs
A Generalization of Transformer Networks to Graphs
Vijay Prakash Dwivedi
Xavier Bresson
AI4CE
88
736
0
17 Dec 2020
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment
  Design
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
Michael Dennis
Natasha Jaques
Eugene Vinitsky
Alexandre M. Bayen
Stuart J. Russell
Andrew Critch
Sergey Levine
47
228
0
03 Dec 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
498
41,106
0
28 May 2020
Learning to Prove Theorems by Learning to Generate Theorems
Learning to Prove Theorems by Learning to Generate Theorems
Mingzhe Wang
Jia Deng
NAI
49
50
0
17 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
449
4,662
0
23 Jan 2020
Automated curricula through setter-solver interactions
Automated curricula through setter-solver interactions
S. Racanière
Andrew Kyle Lampinen
Adam Santoro
David P. Reichert
Vlad Firoiu
Timothy Lillicrap
50
53
0
27 Sep 2019
Learning to Prove Theorems via Interacting with Proof Assistants
Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang
Jia Deng
AIMat
LRM
86
144
0
21 May 2019
HOList: An Environment for Machine Learning of Higher-Order Theorem
  Proving
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving
Kshitij Bansal
Sarah M. Loos
M. Rabe
Christian Szegedy
S. Wilcox
AIMat
40
51
0
05 Apr 2019
Intrinsically Motivated Goal Exploration Processes with Automatic
  Curriculum Learning
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier
Rémy Portelas
Yoan Mollard
Pierre-Yves Oudeyer
55
186
0
07 Aug 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
443
129,831
0
12 Jun 2017
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar
Zeming Lin
Ilya Kostrikov
Gabriel Synnaeve
Arthur Szlam
Rob Fergus
SSL
48
335
0
15 Mar 2017
Deep Network Guided Proof Search
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
51
158
0
24 Jan 2017
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