| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1611 | 2023 |
| Laso: Label-set operations networks for multi-label few-shot learning A Alfassy, L Karlinsky, A Aides, J Shtok, S Harary, R Feris, R Giryes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 147 | 2019 |
| Unsupervised domain generalization by learning a bridge across domains S Harary, E Schwartz, A Arbelle, P Staar, S Abu-Hussein, E Amrani, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 39 | 2022 |
| Dense and aligned captions (dac) promote compositional reasoning in vl models S Doveh, A Arbelle, S Harary, R Herzig, D Kim, P Cascante-Bonilla, ... Advances in Neural Information Processing Systems 36, 76137-76150, 2023 | 37 | 2023 |
| Starnet: towards weakly supervised few-shot object detection L Karlinsky, J Shtok, A Alfassy, M Lichtenstein, S Harary, E Schwartz, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1743-1753, 2021 | 27* | 2021 |
| Detector-Free Weakly Supervised Grounding by Separation A Arbelle, S Doveh, A Alfassy, J Shtok, G Lev, E Schwartz, H Kuehne, ... Proceedings of the International Conference on Computer Vision 2021, ICCV 2021., 2021 | 26 | 2021 |
| BLOOM: A 176b-parameter open-access multilingual language model. CoRR, abs/2211.05100, 2022. doi: 10.48550 T Le Scao, A Fan, C Akiki, E Pavlick, S Ilic, D Hesslow, R Castagné, ... arXiv preprint arXiv.2211.05100 10, 0 | 22 | |
| FETA: Towards Specializing Foundational Models for Expert Task Applications A Alfassy, A Arbelle, O Halimi, S Harary, R Herzig, E Schwartz, R Panda, ... Advances in Neural Information Processing Systems 35, 29873-29888, 2022 | 15 | 2022 |
| Towards multimodal in-context learning for vision & language models S Doveh, S Perek, MJ Mirza, W Lin, A Alfassy, A Arbelle, S Ullman, ... arXiv preprint arXiv:2403.12736, 2024 | 11 | 2024 |
| Method and system for producing digital image features A Aides, A Alfassy, L Karlinsky, J Shtok US Patent 11,176,417, 2021 | 5 | 2021 |
| Training multi-modal models on documents using multiple instance learning A Alfassy, A Arbelle, L Karlinsky US Patent App. 18/306,071, 2024 | | 2024 |
| Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement J Shtok, A Alfassy, FA Dahood, E Schwartz, S Doveh, A Arbelle arXiv preprint arXiv:2410.10348, 2024 | | 2024 |
| Training visual language grounding models using separation loss A Arbelle, L Karlinsky, S Doveh, J Shtok, A Alfassy US Patent App. 17/412,528, 2023 | | 2023 |
Leonid KarlinskyPrincipal Research Scientist, MIT-IBM Watson AI Lab, IBM ResearchПотвърден имейл адрес: ibm.com
