Elad Hoffer
About
Elad Hoffer has authored 14 papers that have received a total of 328 indexed citations.
This includes 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. The topics of these papers are Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). Elad Hoffer is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (5 papers) and Sparse and Compressive Sensing Techniques (3 papers) and collaborates with scholars based in Israel, United States and Switzerland. Elad Hoffer's co-authors include Daniel Soudry, Itay Hubara, Ron Banner, Niv Giladi and Nir Ailon and has published in prestigious journals such as Neural Computation and Journal of Machine Learning Research
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