20 citations · 44 across the 9 of their papers we have counts for
6 papers · 1 filter
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
Fred Hohman, Chaoqun Wang, Jinmook Lee +7
On-device machine learning (ML) moves computation from the cloud to personal devices, protecting user privacy and enabling intelligent user experiences. However, fitting models on…
Draco 2: An Extensible Platform to Model Visualization Design
Junran Yang, Péter Ferenc Gyarmati, Zehua Zeng +1
Draco introduced a constraint-based framework to model visualization design in an extensible and testable form. It provides a way to abstract design guidelines from theoretical and…
Dead or Alive: Continuous Data Profiling for Interactive Data Science
Will Epperson, Vaishnavi Gorantla, Dominik Moritz +1
Profiling data by plotting distributions and analyzing summary statistics is a critical step throughout data analysis. Currently, this process is manual and tedious since analysts…
DashQL -- Complete Analysis Workflows with SQL
André Kohn, Dominik Moritz, Thomas Neumann
We present DashQL, a language that describes complete analysis workflows in self-contained scripts. DashQL combines SQL, the grammar of relational database systems, with a grammar…
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements
Samantha Robertson, Zijie J. Wang, Dominik Moritz +2
Machine learning (ML) models can fail in unexpected ways in the real world, but not all model failures are equal. With finite time and resources, ML practitioners are forced to pri…
VegaFusion: Automatic Server-Side Scaling for Interactive Vega Visualizations
Nicolas Kruchten, Jon Mease, Dominik Moritz
The Vega grammar has been broadly adopted by a growing ecosystem of browser-based visualization tools. However, the reference Vega renderer does not scale well to large datasets (e…