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Papers Enumerative Search

“Enumerative Search” 태그가 달린 논문 7편 · 필터 해제

What is Formal Verification without Specifications? A Survey on mining LTL Specifications

2025-01-27 · Daniel Neider, Rajarshi Roy

Virtually all verification techniques using formal methods rely on the availability of a formal specification, which describes the design requirements precisely. However, formulating specifications remains a manual task …

Enumerative SearchSurvey

From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction

2022-01-16 · LREC 2022 6 · Robert Vacareanu, Marco A. Valenzuela-Escarcega, George C. G. Barbosa, Rebecca Sharp 외

While deep learning approaches to information extraction have had many successes, they can be difficult to augment or maintain as needs shift. Rule-based methods, on the other hand, can be more easily modified. However, …

Enumerative SearchFew-Shot LearningProgram SynthesisRelation Classification

FOREST: An Interactive Multi-tree Synthesizer for Regular Expressions

2020-12-28 · Margarida Ferreira, Miguel Terra-Neves, Miguel Ventura, Inês Lynce 외

Form validators based on regular expressions are often used on digital forms to prevent users from inserting data in the wrong format. However, writing these validators can pose a challenge to some users. We present FORE…

Enumerative SearchForm

SQUARES: A SQL Synthesizer Using Query Reverse Engineering

2020-08-31 · Pedro Orvalho, Miguel Terra-Neves; Miguel Ventura, Ruben Martins, Vasco Manquinho

Nowadays, many data analysts are domain experts, but they lack programming skills. As a result, many of them can provide examples of data transformations but are unable to produce the desired query. Hence, there is an in…

Enumerative SearchProgram SynthesisSQL Synthesis

TF-Coder: Program Synthesis for Tensor Manipulations

2020-03-19 · NeurIPS Workshop CAP 2020 12 · Kensen Shi, David Bieber, Rishabh Singh

The success and popularity of deep learning is on the rise, partially due to powerful deep learning frameworks such as TensorFlow and PyTorch that make it easier to develop deep learning models. However, these libraries …

Deep LearningEnumerative SearchProgram Synthesis

Generating Programmatic Referring Expressions via Program Synthesis

2020-01-01 · ICML 2020 1 · Jiani Huang, Calvin Smith, Osbert Bastani, Rishabh Singh 외

Incorporating symbolic reasoning into machine learning algorithms is a promising approach to improve performance on learning tasks that require logical reasoning. We study the problem of generating a programmatic variant…

Enumerative SearchLogical ReasoningProgram Synthesis

DeepCoder: Learning to Write Programs

2016-11-07 · Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin 외

We develop a first line of attack for solving programming competition-style problems from input-output examples using deep learning. The approach is to train a neural network to predict properties of the program that gen…

Enumerative SearchProgram Synthesis
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