Gal Chechik
Gal Chechik
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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, ...
arXiv preprint arXiv:2208.01618, 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
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
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
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
Euclidean embedding of co-occurrence data
A Globerson, G Chechik, F Pereira, N Tishby
Advances in neural information processing systems 17, 497-504, 2004
Information bottleneck for Gaussian variables
G Chechik, A Globerson, N Tishby, Y Weiss
Advances in Neural Information Processing Systems 16, 2003
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
Personalized federated learning using hypernetworks
A Shamsian, A Navon, E Fetaya, G Chechik
International Conference on Machine Learning, 9489-9502, 2021
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
Synaptic pruning in development: A computational account
G Chechik, I Meilijson, E Ruppin
Neural Computation 10 (7), 1759-1777, 1998
Neuronal regulation: A mechanism for synaptic pruning during brain maturation
G Chechik, I Meilijson, E Ruppin
Neural computation 11 (8), 2061-2080, 1999
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
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
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
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
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
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
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
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
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