| Batch active learning at scale G Citovsky, G DeSalvo, C Gentile, L Karydas, A Rajagopalan, ... Advances in Neural Information Processing Systems 34, 11933-11944, 2021 | 181 | 2021 |
| Active learning empirical study G Chuang, G DeSalvo, L Karydas, J Kagy, A Rostamizadeh, ... NeurIPS2019 LIRE Workshop, 2019 | 5 | 2019 |
| SCAR: Dynamic adaptation for person detection and persistence analysis in unconstrained videos G Kamberov, M Burlick, L Karydas, O Koteoglou International Symposium on Visual Computing, 176-187, 2012 | 3 | 2012 |
| Leveraging crowdsourced data for creating temporal segmentation ground truths of subjective tasks M Burlick, O Koteoglou, L Karydas, G Kamberov Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 2 | 2013 |
| Collaborative track analysis, data cleansing, and labeling G Kamberov, G Kamberova, M Burlick, L Karydas, B Luczynski Advances in Visual Computing: 7th International Symposium, ISVC 2011, Las …, 2011 | 2 | 2011 |
| Knowledge-Based Concept Score Fusion for Multimedia Retrieval M Falelakis, L Karydas, A Delopoulos International Conference on Active Media Technology, 126-135, 2009 | 1 | 2009 |
| No more hard prompts: SoftSRV prompting for synthetic data generation G DeSalvo, JF Kagy, L Karydas, A Rostamizadeh, S Kumar arXiv preprint arXiv:2410.16534, 2024 | | 2024 |
| SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection K Ye, H Jiang, A Rostamizadeh, A Chakrabarti, G DeSalvo, JF Kagy, ... arXiv preprint arXiv:2401.13160, 2024 | | 2024 |
| Unsupervised Detection of Video Sub-scenes G Kamberov, M Burlick, L Karydas, O Koteogou 2014 22nd International Conference on Pattern Recognition, 1934-1939, 2014 | | 2014 |
| SoftSRV: Learn to generate targeted synthetic data. G DeSalvo, JF Kagy, L Karydas, A Rostamizadeh, S Kumar Will Synthetic Data Finally Solve the Data Access Problem?, 0 | | |
Afshin RostamizadehGoogle ResearchPotvrđena adresa e-pošte na google.com
