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Yuval Atzmon
Yuval Atzmon
NVIDIA Research
Dirección de correo verificada de nvidia.com - Página principal
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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
9792022
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
Y Atzmon, G Chechik
CVPR 2019, 2019
1202019
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
1112020
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
982023
Key-Locked Rank One Editing for Text-to-Image Personalization
Y Tewel, R Gal, G Chechik, Y Atzmon
ACM SIGGRAPH 2023 Conference Proceedings, 2023
922023
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
762016
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
542023
"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
542022
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
402021
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning
Y Atzmon, G Chechik
Uncertainty in Artificial Intelligence (UAI), 2018
352018
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
322023
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
292009
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
262020
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
202019
Learning Sparse Metrics, One Feature at a Time
Y Atzmon, U Shalit, G Chechik
Journal of Machine Learning Research 44, 30-48, 2015
162015
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
162008
Learning with per-sample side information
R Visotsky, Y Atzmon, G Chechik
Artificial General Intelligence: 12th International Conference, AGI 2019 …, 2019
13*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
102008
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
102007
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
92009
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Artículos 1–20