Gal Chechik
About
Gal Chechik has authored 89 papers that have received a total of 3.0k indexed citations.
This includes 38 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 19 papers in Cognitive Neuroscience. The topics of these papers are Domain Adaptation and Few-Shot Learning (20 papers), Multimodal Machine Learning Applications (18 papers) and Neural dynamics and brain function (17 papers). Gal Chechik is often cited by papers focused on Domain Adaptation and Few-Shot Learning (20 papers), Multimodal Machine Learning Applications (18 papers) and Neural dynamics and brain function (17 papers) and collaborates with scholars based in Israel, United States and United Kingdom. Gal Chechik's co-authors include Uri Shalit, Amir Globerson, Yuval Atzmon, Naftali Tishby and Samy Bengio and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron
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