| An image is worth one word: Personalizing text-to-image generation using textual inversion R Gal, Y Alaluf, Y Atzmon, O Patashnik, AH Bermano, G Chechik, ... International Conference on Learning Representations (ICLR) 2023, 2022 | 468 | 2022 |
| Adaptive Confidence Smoothing for Generalized Zero-Shot Learning Y Atzmon, G Chechik CVPR 2019, 2019 | 112 | 2019 |
| A causal view of compositional zero-shot recognition Y Atzmon, F Kreuk, U Shalit, G Chechik Advances in Neural Information Processing Systems 33, 1462-1473, 2020 | 96 | 2020 |
| Learning to generalize to new compositions in image understanding Y Atzmon, J Berant, V Kezami, A Globerson, G Chechik arXiv preprint arXiv:1608.07639, 2016 | 69 | 2016 |
| "This is my unicorn, Fluffy": Personalizing frozen vision-language representations N Cohen, R Gal, EA Meirom, G Chechik, Y Atzmon European Conference on Computer Vision (ECCV) 2022, 2022 | 33 | 2022 |
| Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning Y Atzmon, G Chechik Uncertainty in Artificial Intelligence (UAI), 2018 | 33 | 2018 |
| From Generalized Zero-Shot Learning to Long-Tail With Class Descriptors D Samuel, Y Atzmon, G Chechik Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 32 | 2021 |
| Key-Locked Rank One Editing for Text-to-Image Personalization Y Tewel, R Gal, G Chechik, Y Atzmon ACM SIGGRAPH 2023 Conference Proceedings, 2023 | 29 | 2023 |
| Designing an encoder for fast personalization of text-to-image models R Gal, M Arar, Y Atzmon, AH Bermano, G Chechik, D Cohen-Or SIGGRAPH 2023, 2023 | 28 | 2023 |
| Laser phase noise in coherent and differential optical transmission revisited in the polar domain Y Atzmon, M Nazarathy Journal of Lightwave Technology 27 (1), 19-29, 2009 | 27 | 2009 |
| ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization T Paz-Argaman, Y Atzmon, G Chechik, R Tsarfaty Findings of EMNLP 2020, 2020 | 17 | 2020 |
| Joint optimization for cooperative image captioning G Vered, G Oren, Y Atzmon, G Chechik Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 17 | 2019 |
| Learning Sparse Metrics, One Feature at a Time Y Atzmon, U Shalit, G Chechik Journal of Machine Learning Research 44, 30-48, 2015 | 16 | 2015 |
| Chromatic dispersion tolerance in optimized NRZ-, RZ-and CSRZ-DPSK demodulation YK Lizé, X Wu, M Nazarathy, Y Atzmon, L Christen, S Nuccio, M Faucher, ... Optics express 16 (6), 4228-4236, 2008 | 16 | 2008 |
| Tolerances and receiver sensitivity penalties of multibit delay differential-phase shift-keying demodulation YK Lizé, L Christen, M Nazarathy, Y Atzmon, S Nuccio, P Saghari, ... IEEE Photonics Technology Letters 19 (23), 1874-1876, 2007 | 10 | 2007 |
| A Gaussian polar model for error rates of differential phase detection impaired by linear, nonlinear, and laser phase noises Y Atzmon, M Nazarathy Journal of Lightwave Technology 27 (21), 4650-4659, 2009 | 9 | 2009 |
| Optically amplified direct detection with pre-and postfiltering: A Volterra series approach M Nazarathy, B Livshitz, Y Atzmon, M Secondini, E Forestieri Journal of Lightwave Technology 26 (22), 3677-3693, 2008 | 9 | 2008 |
| Few-Shot Learning with Per-Sample Rich Supervision R Visotsky, Y Atzmon, G Chechik arXiv preprint arXiv:1906.03859, 2019 | 7 | 2019 |
| Cooperative image captioning G Vered, G Oren, Y Atzmon, G Chechik arXiv preprint arXiv:1907.11565, 2019 | 6* | 2019 |
| Known unknowns: Learning novel concepts using reasoning-by-elimination H Agrawal, EA Meirom, Y Atzmon, S Mannor, G Chechik Uncertainty in Artificial Intelligence, 504-514, 2021 | 4 | 2021 |
Gal ChechikBar Ilan University, NVIDIAPotvrđena adresa e-pošte na biu.ac.il
