Gal Chechik

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Yuval AtzmonNVIDIA ResearchDirección de correo verificada de nvidia.com
Amir GlobersonTel Aviv UniversityDirección de correo verificada de post.tau.ac.il
Haggai MaronAssistant Professor at the Technion, Research Scientist at NVIDIA ResearchDirección de correo verificada de technion.ac.il
Samy BengioSenior Director, AI and Machine Learning Research, AppleDirección de correo verificada de apple.com
Rinon GalTel Aviv UniversityDirección de correo verificada de mail.tau.ac.il
Ethan FetayaBar-Ilan UniversityDirección de correo verificada de biu.ac.il
Uri ShalitAssociate Professor, Technion - Israel Institute of TechnologyDirección de correo verificada de technion.ac.il
Eytan RuppinChief, Cancer Data Science Lab (CDSL), NCI/NIHDirección de correo verificada de nih.gov
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaDirección de correo verificada de technion.ac.il
Aviv ShamsianPhD Candidate Bar Ilan UniversityDirección de correo verificada de live.biu.ac.il
Daniel Cohen-OrProfessor of Computer Science, Tel Aviv UniversityDirección de correo verificada de tau.ac.il
Amit Haim BermanoAssociate Professor, Tel-Aviv University, Computer ScienceDirección de correo verificada de tauex.tau.ac.il
Aviv NavonBar-Ilan UniversityDirección de correo verificada de biu.ac.il
Daphne KollerCEO and Founder, insitroDirección de correo verificada de insitro.com
Idan AchituveBar-Ilan UniversityDirección de correo verificada de biu.ac.il
Roei HerzigIBM Research | BAIR, UC BerkeleyDirección de correo verificada de mail.tau.ac.il
Eli MeiromTechion - Israel Institute of TechnologyDirección de correo verificada de tx.technion.ac.il
Israel NelkenHebrew UniversityDirección de correo verificada de mail.huji.ac.il
Or PatashnikTel Aviv UniversityDirección de correo verificada de mail.tau.ac.il
Dvir SamuelPhD Student, Bar Ilan UniversityDirección de correo verificada de live.biu.ac.il

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Gal Chechik

NVIDIA, Bar Ilan University

Dirección de correo verificada de biu.ac.il - Página principal

Machine learning AI Machine perception


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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, ... arXiv preprint arXiv:2208.01618, 2022	1406	2022
Large scale online learning of image similarity through ranking G Chechik, V Sharma, U Shalit, S Bengio The Journal of Machine Learning Research 11, 1109-1135, 2010	1036	2010
Openimages: A public dataset for large-scale multi-label and multi-class image classification I Krasin, T Duerig, N Alldrin, V Ferrari, S Abu-El-Haija, A Kuznetsova, ... Dataset available from https://github. com/openimages 2 (3), 2-3, 2017	873	2017
StyleGAN-NADA: CLIP-guided domain adaptation of image generators R Gal, O Patashnik, H Maron, AH Bermano, G Chechik, D Cohen-Or ACM Transactions on Graphics (TOG) 41 (4), 1-13, 2022	620	2022
Learning from noisy large-scale datasets with minimal supervision A Veit, N Alldrin, G Chechik, I Krasin, A Gupta, S Belongie Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	572	2017
Euclidean embedding of co-occurrence data A Globerson, G Chechik, F Pereira, N Tishby Advances in neural information processing systems 17, 497-504, 2004	363	2004
Information bottleneck for Gaussian variables G Chechik, A Globerson, N Tishby, Y Weiss Advances in Neural Information Processing Systems 16, 2003	360	2003
Personalized federated learning using hypernetworks A Shamsian, A Navon, E Fetaya, G Chechik International Conference on Machine Learning, 9489-9502, 2021	352	2021
Functional organization of the S. cerevisiae phosphorylation network D Fiedler, H Braberg, M Mehta, G Chechik, G Cagney, P Mukherjee, ... Cell 136 (5), 952-963, 2009	314	2009
Reduction of information redundancy in the ascending auditory pathway G Chechik, MJ Anderson, O Bar-Yosef, ED Young, N Tishby, I Nelken Neuron 51 (3), 359-368, 2006	283	2006
Synaptic pruning in development: A computational account G Chechik, I Meilijson, E Ruppin Neural Computation 10 (7), 1759-1777, 1998	272	1998
Neuronal regulation: A mechanism for synaptic pruning during brain maturation G Chechik, I Meilijson, E Ruppin Neural computation 11 (8), 2061-2080, 1999	263	1999
A unifying principle underlying the extracellular field potential spectral responses in the human cortex E Podvalny, N Noy, M Harel, S Bickel, G Chechik, CE Schroeder, ... Journal of neurophysiology 114 (1), 505-519, 2015	211	2015
Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network G Chechik, E Oh, O Rando, J Weissman, A Regev, D Koller Nature biotechnology 26 (11), 1251, 2008	208	2008
Encoding stimulus information by spike numbers and mean response time in primary auditory cortex I Nelken, G Chechik, TD Mrsic-Flogel, AJ King, JWH Schnupp Journal of computational neuroscience 19 (2), 199-221, 2005	193	2005
Self-Supervised Learning for Domain Adaptation on Point Clouds I Achituve, H Maron, G Chechik Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021	188	2021
Max-margin classification of data with absent features G Chechik, G Heitz, G Elidan, P Abbeel, D Koller The Journal of Machine Learning Research 9, 1-21, 2008	186*	2008
Context-aware captions from context-agnostic supervision R Vedantam, S Bengio, K Murphy, D Parikh, G Chechik Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	171	2017
Mapping images to scene graphs with permutation-invariant structured prediction R Herzig, M Raboh, G Chechik, J Berant, A Globerson Advances in Neural Information Processing Systems 31, 7211-7221, 2018	148	2018
An online algorithm for large scale image similarity learning G Chechik, V Sharma, U Shalit, S Bengio Advances in Neural Information Processing Systems 21, 306-314, 2009	148	2009

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