Yonatan Geifman
About Me
I'm the Co-Founder and CEO of Deci, a Deep learning AutoML focused startup. Prior to that, I've done my PhD at the Computer Science Department at the Technion, working under the supervision of Prof. Ran El-Yaniv. My research centers around the uncertainty of machine learning algorithms and exposes me to the limitations of machines as agents of knowledge and intelligence. My aim is to enhance the reliability of prediction by developing methods for estimation and control of uncertainty in machine learning algorithms.
Recent Work
Ran El-Yaniv, Yonatan Geifman, Yair Wiener. The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression - preprint arXiv, Slides
Yonatan Geifman and Ran El-Yaniv. Selective Classification for Deep Neural Networks. In Advances in Neural Information Processing Systems, 2017. arXiv, code, Slides
Yonatan Geifman and Ran El-Yaniv. Deep Active Learning over the Long Tail - preprint arXiv
Yonatan Geifman, Guy Uziel, Ran El-Yaniv. Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers - ICLR 2019 arXiv, code
Yonatan Geifman and Ran El-Yaniv. SelectiveNet: A Deep Neural Network with an Integrated Reject Option - ICML 2019 arXiv code
Yonatan Geifman and Ran El-Yaniv. Deep Active Learning with a Neural Architecture Search - NeurIPS 2019 arXiv
Talks
Deep Active Learning with a Neural Architecture Search - NeurIPSi meetup Tel-Aviv (November 2019) - slides
Uncertainty Estimation and its applications in deep neural networks - IBM research (August 2019) - slides
SelectiveNet: A Deep Neural Network with an Integrated Reject Option - ICML 2019 - ICML oral presentation (June 2019) - slides
Uncertainty Estimation and its applications in deep neural networks - Phd seminar talk (June 2019) - slides
Uncertainty and its applications in deep neural networks - Trigo Vision meetup (2019) - slides
On the estimation and control of uncertainty in deep neural networks - Amazon (2018) - slides
Teaching
Winter 2018-2019 - Deep Learning, 236606, TA in charge
Spring 2018 - Deep Learning, 236606, TA in charge
Winter 2017-2018 - [Introduction to computer science with Matlab], TA in charge
Spring 2017 - [Introduction to computer science], TA
Winter 2016-2017 - [Introduction to computer science with Matlab], TA
Contact
Feel free to contact me at yonatan.g at cs dot technion dot ac dot il