ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.12964
  4. Cited By
Representing Partial Programs with Blended Abstract Semantics

Representing Partial Programs with Blended Abstract Semantics

23 December 2020
Maxwell Nye
Yewen Pu
Matthew Bowers
Jacob Andreas
J. Tenenbaum
Armando Solar-Lezama
    NAI
ArXivPDFHTML

Papers citing "Representing Partial Programs with Blended Abstract Semantics"

5 / 5 papers shown
Title
ObSynth: An Interactive Synthesis System for Generating Object Models
  from Natural Language Specifications
ObSynth: An Interactive Synthesis System for Generating Object Models from Natural Language Specifications
Alex Gu
Tamara Mitrovska
D. Vélez
Jacob Andreas
Armando Solar-Lezama
SyDa
25
1
0
20 Oct 2022
Static Prediction of Runtime Errors by Learning to Execute Programs with
  External Resource Descriptions
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
David Bieber
Rishab Goel
Daniel Zheng
Hugo Larochelle
Daniel Tarlow
19
15
0
07 Mar 2022
Learning to Synthesize Programs as Interpretable and Generalizable
  Policies
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi
Jesse Zhang
Shao-Hua Sun
Joseph J. Lim
NAI
24
72
0
31 Aug 2021
Latent Execution for Neural Program Synthesis
Latent Execution for Neural Program Synthesis
Xinyun Chen
D. Song
Yuandong Tian
NAI
21
52
0
29 Jun 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed
  Environments
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen Yang
J. Inala
Osbert Bastani
Yewen Pu
Armando Solar-Lezama
Martin Rinard
42
12
0
22 Feb 2021
1