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Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via
  Compositional Uncertainty Quantification

Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification

26 January 2023
Zi Lin
J. Liu
Jingbo Shang
    UQLM
ArXivPDFHTML

Papers citing "Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification"

4 / 4 papers shown
Title
Spanish Resource Grammar version 2023
Spanish Resource Grammar version 2023
Olga Zamaraeva
Lorena S. Allegue
Carlos Gómez-Rodríguez
8
1
0
23 Sep 2023
SMATCH++: Standardized and Extended Evaluation of Semantic Graphs
SMATCH++: Standardized and Extended Evaluation of Semantic Graphs
Juri Opitz
29
22
0
11 May 2023
Natural Language to Code Generation in Interactive Data Science
  Notebooks
Natural Language to Code Generation in Interactive Data Science Notebooks
Pengcheng Yin
Wen-Ding Li
Kefan Xiao
Abhishek Rao
Yeming Wen
...
Paige Bailey
Michele Catasta
Henryk Michalewski
Oleksandr Polozov
Charles Sutton
33
57
0
19 Dec 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1