Yuval Atzmon
Yuval Atzmon
NVIDIA Research
Verified email at - Homepage
Cited by
Cited by
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
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
Y Atzmon, G Chechik
CVPR 2019, 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
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
Key-Locked Rank One Editing for Text-to-Image Personalization
Y Tewel, R Gal, G Chechik, Y Atzmon
ACM SIGGRAPH 2023 Conference Proceedings, 2023
"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
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
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
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning
Y Atzmon, G Chechik
Uncertainty in Artificial Intelligence (UAI), 2018
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
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
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
Learning Sparse Metrics, One Feature at a Time
Y Atzmon, U Shalit, G Chechik
Journal of Machine Learning Research 44, 30-48, 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
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
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
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
Few-Shot Learning with Per-Sample Rich Supervision
R Visotsky, Y Atzmon, G Chechik
arXiv preprint arXiv:1906.03859, 2019
Cooperative image captioning
G Vered, G Oren, Y Atzmon, G Chechik
arXiv preprint arXiv:1907.11565, 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
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