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 | 1410 | 2022 |
Encoder-based domain tuning for fast personalization of text-to-image models R Gal, M Arar, Y Atzmon, AH Bermano, G Chechik, D Cohen-Or ACM Transactions on Graphics (TOG) 42 (4), 1-13, 2023 | 147 | 2023 |
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 | 140 | 2020 |
Key-Locked Rank One Editing for Text-to-Image Personalization Y Tewel, R Gal, G Chechik, Y Atzmon ACM SIGGRAPH 2023 Conference Proceedings, 2023 | 135 | 2023 |
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning Y Atzmon, G Chechik CVPR 2019, 2019 | 132 | 2019 |
"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 | 76 | 2022 |
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 | 75 | 2016 |
Designing an encoder for fast personalization of text-to-image models R Gal, M Arar, Y Atzmon, AH Bermano, G Chechik, D Cohen-Or arXiv e-prints, arXiv: 2302.12228, 2023 | 66 | 2023 |
Domain-agnostic tuning-encoder for fast personalization of text-to-image models M Arar, R Gal, Y Atzmon, G Chechik, D Cohen-Or, A Shamir, ... SIGGRAPH Asia 2023 Conference Papers, 1-10, 2023 | 56 | 2023 |
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 | 49 | 2021 |
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning Y Atzmon, G Chechik Uncertainty in Artificial Intelligence (UAI), 2018 | 37 | 2018 |
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 | 34 | 2020 |
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 | 29 | 2009 |
Training-Free Consistent Text-to-Image Generation Y Tewel, O Kaduri, R Gal, Y Kasten, L Wolf, G Chechik, Y Atzmon arXiv preprint arXiv:2402.03286, 2024 | 24 | 2024 |
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 | 23 | 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 | 15 | 2008 |
Learning with per-sample side information R Visotsky, Y Atzmon, G Chechik Artificial General Intelligence: 12th International Conference, AGI 2019 …, 2019 | 14* | 2019 |
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 | 10 | 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 |