Ido Galil

According to our database, Ido Galil authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Puzzle: Distillation-Based NAS for Inference-Optimized LLMs.

Akhiad Bercovich, Tomer Ronen, Talor Abramovich, Nir Ailon, Nave Assaf, Mohammad Dabbah, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Netanel Haber, Ehud Karpas, Roi Koren, Itay Levy, Pavlo Molchanov, Shahar Mor, Zach Moshe, Najeeb Nabwani, Omri Puny, Ran Rubin, Itamar Schen, Ido Shahaf, Oren Tropp, Omer Ullman Argov, Ran Zilberstein, Ran El-Yaniv

CoRR, 2024

Hierarchical Selective Classification.

Shani Goren, Ido Galil, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?

Ido Galil, Mohammed Dabbah, Ran El-Yaniv

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet.

Ido Galil, Mohammed Dabbah, Ran El-Yaniv

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Which models are innately best at uncertainty estimation?

Ido Galil, Mohammed Dabbah, Ran El-Yaniv

CoRR, 2022

2021

Disrupting Deep Uncertainty Estimation Without Harming Accuracy.

Ido Galil, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021