author
Research Fellow & Founding Team
,
Snorkel AI
Vincent Sunn Chen is a Research Fellow on the founding team at Snorkel AI. His work centers on systems for high quality AI evaluation & data development with experts in the loop. He currently leads the Open Benchmarks Grants, a $3M commitment to funding benchmarks and infrastructure for frontier agents. Prior to Snorkel, Vincent was a researcher at the Stanford AI Lab, where he studied the foundations of data-centric AI systems.
The latest from Vincent
Scene Graph Prediction With Limited Labels
As deep learning models are applied to increasingly diverse problems, a key bottleneck is gathering enough high-quality training labels tailored to each task. Users therefore turn to weak supervision, relying on imperfect sources of labels like pattern matching and user-defined heuristics. Unfortunately, users have to design these sources for each task. This process can be time consuming and expensive: domain experts often perform repetitive steps like guessing optimal numerical thresholds and developing informative text patterns. To address these challenges, we present Snuba, a system to automatically generate heuristics using a small labeled dataset to assign training labels to a large,...
Research Paper
Scene Graph Prediction With Limited Labels
As deep learning models are applied to increasingly diverse problems, a key bottleneck is gathering enough high-quality training labels tailored to each task. Users therefore turn to weak supervision, relying on imperfect sources of labels like pattern matching and user-defined heuristics. Unfortunately, users have to design these sources for each task. This process can be time consuming and expensive: domain…
1
2
