495 citations · 2.3k across the 36 of their papers we have counts for
38 papers
Repairing Systematic Outliers by Learning Clean Subspaces in VAEs
Simao Eduardo, Kai Xu, Alfredo Nazabal +1
Data cleaning often comprises outlier detection and data repair. Systematic errors result from nearly deterministic transformations that occur repeatedly in the data, e.g. specific…
Learning Semantic Annotations for Tabular Data
Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks +1
The usefulness of tabular data such as web tables critically depends on understanding their semantics. This study focuses on column type prediction for tables without any meta data…
How Often Do Single-Statement Bugs Occur? The ManySStuBs4J Dataset
Rafael-Michael Karampatsis, Charles Sutton
Program repair is an important but difficult software engineering problem. One way to achieve acceptable performance is to focus on classes of simple bugs, such as bugs with single…
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code
Rafael-Michael Karampatsis, Charles Sutton
Statistical language modeling techniques have successfully been applied to source code, yielding a variety of new software development tools, such as tools for code suggestion and…
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks +1
Automatically annotating column types with knowledge base (KB) concepts is a critical task to gain a basic understanding of web tables. Current methods rely on either table metadat…
Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic
Maria I. Gorinova, Andrew D. Gordon, Charles Sutton
Stan is a probabilistic programming language that has been increasingly used for real-world scalable projects. However, to make practical inference possible, the language sacrifice…