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Otilia Stretcu
Otilia Stretcu
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Competence-based curriculum learning for neural machine translation
EA Platanios, O Stretcu, G Neubig, B Poczos, TM Mitchell
arXiv preprint arXiv:1903.09848, 2019
2992019
Graph agreement models for semi-supervised learning
O Stretcu, K Viswanathan, D Movshovitz-Attias, E Platanios, S Ravi, ...
Advances in Neural Information Processing Systems 32, 2019
622019
Multiple Frames Matching for Object Discovery in Video.
O Stretcu, M Leordeanu
BMVC 1 (2), 3, 2015
492015
Subthalamic Nucleus and Sensorimotor Cortex Activity During Speech Production
A Chrabaszcz, WJ Neumann, O Stretcu, WJ Lipski, A Bush, ...
The Journal of Neuroscience : the Official Journal of the Society for …, 2019
482019
Contextual parameter generation for knowledge graph link prediction
G Stoica, O Stretcu, EA Platanios, T Mitchell, B Póczos
Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 3000-3008, 2020
342020
Efficient multitask feature and relationship learning
H Zhao, O Stretcu, AJ Smola, GJ Gordon
Uncertainty in Artificial Intelligence, 777-787, 2020
252020
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
M Toneva*, O Stretcu*, B Poczos, L Wehbe, TM Mitchell
arXiv preprint arXiv:2009.08424, 2020
222020
Coarse-to-fine curriculum learning
O Stretcu, EA Platanios, TM Mitchell, B Póczos
arXiv preprint arXiv:2106.04072, 2021
142021
Competence-based curriculum learning for neural machine translation
E Antonios Platanios, O Stretcu, G Neubig, B Póczos, TM Mitchell
arXiv e-prints, arXiv: 1903.09848, 2019
112019
Coarse-to-Fine Curriculum Learning for Classification
O Stretcu, EA Platanios, T Mitchell, B Póczos
ICLR Workshop on “Bridging AI and Cognitive Science”, 2020
102020
Brainzoom: High resolution reconstruction from multi-modal brain signals
X Fu*, K Huang*, O Stretcu*, HA Song*, E Papalexakis, P Talukdar, ...
Proceedings of the 2017 SIAM International Conference on Data Mining, 216-227, 2017
102017
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
Y Hu, O Stretcu, CT Lu, K Viswanathan, K Hata, E Luo, R Krishna, ...
arXiv preprint arXiv:2312.03052, 2023
52023
Agile modeling: From concept to classifier in minutes
O Stretcu, E Vendrow, K Hata, K Viswanathan, V Ferrari, S Tavakkol, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
52023
Benchmarking robustness to adversarial image obfuscations
F Stimberg, A Chakrabarti, CT Lu, H Hazimeh, O Stretcu, W Qiao, Y Liu, ...
Advances in Neural Information Processing Systems 36, 2024
22024
Agile modeling: Image classification with domain experts in the loop
O Stretcu, E Vendrow, K Hata, K Viswanathan, V Ferrari, S Tavakkol, ...
arXiv e-prints, arXiv: 2302.12948, 2023
22023
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use
IE Toubal, A Avinash, NG Alldrin, J Dlabal, W Zhou, E Luo, O Stretcu, ...
arXiv preprint arXiv:2403.02626, 2024
12024
Curriculum Learning
O Stretcu
Carnegie Mellon University, 2021
12021
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use
I Eddine Toubal, A Avinash, NG Alldrin, J Dlabal, W Zhou, E Luo, ...
arXiv e-prints, arXiv: 2403.02626, 2024
2024
Scaling Up LLM Reviews for Google Ads Content Moderation
W Qiao, T Dogra, O Stretcu, YH Lyu, T Fang, D Kwon, CT Lu, E Luo, ...
arXiv preprint arXiv:2402.14590, 2024
2024
Understanding the neural basis of speech production using Machine Learning
O Stretcu
Carnegie Mellon University, 2017
2017
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Articles 1–20