Researcher interests: Computer and human vision. Machine and perceptual learning.
DEPARTMENT: Computer Science
Contact Business Development: Tamir Huberman
All projects by researcher: Certifying Electronic Identity

Selected Publications

guy hacohen, Daphna Weinshall
on the power of curriculum learning in training deep networks (2019)| arXiv: Learning| 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
matan benyosef, Daphna Weinshall
multi modal generative adversarial networks for diverse datasets (2018)| | Read more
guy hacohen, Daphna Weinshall
in your pace learning the right example at the right time (2018)| | Read more
Gad Cohen, Daphna Weinshall
curriculum learning by transfer learning theory and experiments with deep networks (2018)| international conference on machine learning| Read more
abraham peled, mikhail bazhmin, Talia Tron, Daphna Weinshall, yehezkel resheff
arima based motor anomaly detection in schizophrenia inpatients (2018)| 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)| Read more
abraham peled, alexander grinsphoon, mikhail bazhmin, Talia Tron, Daphna Weinshall, yehezkel 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
matan benyosef, Daphna Weinshall
gaussian mixture generative adversarial networks for diverse datasets and the unsupervised clustering of images (2018)| arXiv preprint arXiv:1808.10356| Read more
theory of curriculum learning with convex loss functions (2018)| | Read more

Contact for more information:

Tamir Huberman
CIO
+972-2-6586678
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