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Ido Galil
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Conference and Workshop Papers
- 2023
- [c3]Ido Galil, Mohammed Dabbah, Ran El-Yaniv:
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet. ICLR 2023 - [c2]Ido Galil, Mohammed Dabbah, Ran El-Yaniv:
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers? ICLR 2023 - 2021
- [c1]Ido Galil, Ran El-Yaniv:
Disrupting Deep Uncertainty Estimation Without Harming Accuracy. NeurIPS 2021: 21285-21296
Informal and Other Publications
- 2024
- [i5]Shani Goren, Ido Galil, Ran El-Yaniv:
Hierarchical Selective Classification. CoRR abs/2405.11533 (2024) - 2023
- [i4]Ido Galil, Mohammed Dabbah, Ran El-Yaniv:
What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers. CoRR abs/2302.11874 (2023) - [i3]Ido Galil, Mohammed Dabbah, Ran El-Yaniv:
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet. CoRR abs/2302.11893 (2023) - 2022
- [i2]Ido Galil, Mohammed Dabbah, Ran El-Yaniv:
Which models are innately best at uncertainty estimation? CoRR abs/2206.02152 (2022) - 2021
- [i1]Ido Galil, Ran El-Yaniv:
Disrupting Deep Uncertainty Estimation Without Harming Accuracy. CoRR abs/2110.13741 (2021)
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last updated on 2024-07-25 19:33 CEST by the dblp team
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