Yonatan Geifman

According to our database, Yonatan Geifman authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Window-Based Distribution Shift Detection for Deep Neural Networks.

Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Distribution Shift Detection for Deep Neural Networks.

Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv

CoRR, 2022

2019

Deep Active Learning with a Neural Architecture Search.

Yonatan Geifman, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SelectiveNet: A Deep Neural Network with an Integrated Reject Option.

Yonatan Geifman, Ran El-Yaniv

Proceedings of the 36th International Conference on Machine Learning, 2019

Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers.

Yonatan Geifman, Guy Uziel, Ran El-Yaniv

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Boosting Uncertainty Estimation for Deep Neural Classifiers.

Yonatan Geifman, Guy Uziel, Ran El-Yaniv

CoRR, 2018

2017

Deep Active Learning over the Long Tail.

Yonatan Geifman, Ran El-Yaniv

CoRR, 2017

The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression.

Ran El-Yaniv, Yonatan Geifman, Yair Wiener

CoRR, 2017

Selective Classification for Deep Neural Networks.

Yonatan Geifman, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017