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Learning Continuous Semantic Representations of Symbolic Expressions

Learning Continuous Semantic Representations of Symbolic Expressions

4 November 2016
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
    CLL
    NAI
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Papers citing "Learning Continuous Semantic Representations of Symbolic Expressions"

13 / 13 papers shown
Title
Learning from Noisy Crowd Labels with Logics
Learning from Noisy Crowd Labels with Logics
Zhijun Chen
Hailong Sun
Haoqian He
Pengpeng Chen
NoLa
NAI
27
7
0
13 Feb 2023
Neural Controller Synthesis for Signal Temporal Logic Specifications
  Using Encoder-Decoder Structured Networks
Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks
Wataru Hashimoto
Kazumune Hashimoto
M. Kishida
S. Takai
32
1
0
10 Dec 2022
Semantic Representations of Mathematical Expressions in a Continuous
  Vector Space
Semantic Representations of Mathematical Expressions in a Continuous Vector Space
Neeraj Gangwar
N. Kani
16
1
0
08 Oct 2022
LAMNER: Code Comment Generation Using Character Language Model and Named
  Entity Recognition
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition
Rishab Sharma
Fuxiang Chen
Fatemeh H. Fard
36
2
0
05 Apr 2022
Deep Symbolic Regression for Recurrent Sequences
Deep Symbolic Regression for Recurrent Sequences
Stéphane dÁscoli
Pierre-Alexandre Kamienny
Guillaume Lample
Franccois Charton
42
54
0
12 Jan 2022
A Critical Review of Inductive Logic Programming Techniques for
  Explainable AI
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Zheng Zhang
Liangliang Xu
L. Yilmaz
Bo Liu
20
7
0
31 Dec 2021
Generating Symbolic Reasoning Problems with Transformer GANs
Generating Symbolic Reasoning Problems with Transformer GANs
Jens U. Kreber
Christopher Hahn
AI4CE
30
6
0
19 Oct 2021
A Literature Study of Embeddings on Source Code
A Literature Study of Embeddings on Source Code
Zimin Chen
Monperrus Martin
49
82
0
05 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
17
414
0
02 Apr 2019
Learning to Perform Local Rewriting for Combinatorial Optimization
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen
Yuandong Tian
NAI
OffRL
14
335
0
30 Sep 2018
Learning Heuristics for Quantified Boolean Formulas through Deep
  Reinforcement Learning
Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning
Gil Lederman
M. Rabe
Edward A. Lee
S. Seshia
13
38
0
20 Jul 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
94
3,078
0
04 Jun 2018
HOUDINI: Lifelong Learning as Program Synthesis
HOUDINI: Lifelong Learning as Program Synthesis
Lazar Valkov
Dipak Chaudhari
Akash Srivastava
Charles Sutton
Swarat Chaudhuri
16
78
0
31 Mar 2018
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