15 citations · 15 across the 1 of their papers we have counts for
2 papers
cs.AI2026
Learnings and Pitfalls from AI-Assisted A/B Experimentation at Scale
Brett Daley, Ilya Gorbachev, Anubhav Natani +7
A/B testing underpins product decisions by providing trustworthy, reproducible quantification of proposed changes' effects. Growing large language model (LLM) capabilities have mot…
stat.ML2017★ 15 cited
Deep Learning Methods for Efficient Large Scale Video Labeling
Miha Skalic, Marcin Pekalski, Xingguo E. Pan
We present a solution to "Google Cloud and YouTube-8M Video Understanding Challenge" that ranked 5th place. The proposed model is an ensemble of three model families, two frame lev…