Enumerative Search
5 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Enumerative Search
standard atomic contexts
Most implemented papers
DeepCoder: Learning to Write Programs
We develop a first line of attack for solving programming competition-style problems from input-output examples using deep learning.
TF-Coder: Program Synthesis for Tensor Manipulations
google-research/tensorflow-coder
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NeurIPS Workshop CAP 2020
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.
SQUARES: A SQL Synthesizer Using Query Reverse Engineering
As a result, many of them can provide examples of data transformations but are unable to produce the desired query.
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction
While deep learning approaches to information extraction have had many successes, they can be difficult to augment or maintain as needs shift.
