Researcher interests: Computer and human vision. Machine and perceptual learning.
DEPARTMENT: Computer Science
Contact Business Development: Anna Pellivert

Selected Publications

guy shiran, Daphna Weinshall
multi modal deep clustering unsupervised partitioning of images (2019)| arXiv preprint arXiv:1912.02678| Read more
gal katzhendler, Daphna Weinshall
potential upside of high initial visual acuity (2019)| Proceedings of the National Academy of Sciences of the United States of America| Read more
guy hacohen, Daphna Weinshall
on the power of curriculum learning in training deep networks (2019)| international conference on machine learning| Read more
guy hacohen, Daphna Weinshall
all neural networks are created equal (2019)| arXiv preprint arXiv:1905.10854| Read more
gal katzhendler, Daphna Weinshall
blurred images lead to bad local minima (2019)| arXiv preprint arXiv:1901.10788| Read more
Eitan Grossman, Haim Dubossarsky, Daphna Weinshall
coming to your senses on controls and evaluation sets in polysemy research (2018)| EMNLP 2018: 2018 Conference on Empirical Methods in Natural Language Processing| Read more
guy hacohen, Daphna Weinshall
in your pace learning the right example at the right time (2018)| | Read more
abraham peled, alexander grinsphoon, mikhail bazhmin, Talia Tron, Daphna Weinshall, yehezkel s resheff
topic models for automated motor analysis in schizophrenia patients (2018)| 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)| Read more
theory of curriculum learning with convex loss functions (2018)| arXiv preprint arXiv:1812.03472| Read more

Contact for more information:

Anna Pellivert
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