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20162026
most citedOptimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

84 citations · 356 across the 59 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.PL2019★ 3 cited

Visualization by Example

Chenglong Wang, Yu Feng, Rastislav Bodik +2

While visualizations play a crucial role in gaining insights from data, generating useful visualizations from a complex dataset is far from an easy task. Besides understanding the…

cs.CL2019★ 3 cited

Sketch-Driven Regular Expression Generation from Natural Language and Examples

Xi Ye, Qiaochu Chen, Xinyu Wang +2

Recent systems for converting natural language descriptions into regular expressions (regexes) have achieved some success, but typically deal with short, formulaic text and can onl…

cs.PL2019★ 1 cited

Multi-modal Synthesis of Regular Expressions

Qiaochu Chen, Xinyu Wang, Xi Ye +2

In this paper, we propose a multi-modal synthesis technique for automatically constructing regular expressions (regexes) from a combination of examples and natural language. Using…

cs.PL2019★ 84 cited

Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

Greg Anderson, Shankara Pailoor, Isil Dillig +1

In recent years, the notion of local robustness (or robustness for short) has emerged as a desirable property of deep neural networks. Intuitively, robustness means that small pert…

cs.PL2019★ 4 cited

Synthesizing Database Programs for Schema Refactoring

Yuepeng Wang, James Dong, Rushi Shah +1

Many programs that interact with a database need to undergo schema refactoring several times during their life cycle. Since this process typically requires making significant chang…