Otilia Stretcu
I am a Research Scientist at Google AI in Mountain View, California, working on machine learning research.
Previously, I was a PhD student in the Machine Learning Department at Carnegie Mellon University, co-advised by Tom Mitchell and Barnabàs Pòczos. My PhD research focused on developing algorithms for machine learning, mainly focused on semi-supervised learning, curriculum learning, multitask learning, and graph-based problems. I am also passionate about applying machine learning methods in neuroscience, in order to study how the brain understands language and controls speech. Previously, I did some research in Computer Vision, with the goal of detecting and tracking objects in videos.
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Google
Visual Program Tuning: Training Large Multimodal Models to Reason like Programs
Yushi Hu
Krishna Viswanathan
Kenji Hata
Enming Luo
Ranjay Krishna
Ariel Fuxman
Conference on Computer Vision and Pattern Recognition (2024)
Scaling Up LLM Reviews for Google Ads Content Moderation
Ariel Fuxman
Chih-Chun Chia
Dongjin Kwon
Enming Luo
Mehmet Tek
Ranjay Krishna
Tiantian Fang
Tushar Dogra
Yu-Han Lyu
(2024)
Benchmarking Robustness to Adversarial Image Obfuscations
Florian Stimberg
Hussein Hazimeh
Yintao Liu
Merve Kaya
Ariel Fuxman
Mehmet Tek
Advances in Neural Information Processing Systems (2023)
Graph Agreement Models for Semi-supervised Learning
Krishnamurthy Viswanathan
Anthony Platanios
Sujith Ravi
Proceedings of the Thirty-third Conference on Neural Information Processing Systems, Neurips 2019
