ML Anthology

Hakimi, Ido

7 publications

ICLR 2025 Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause
NeurIPSW 2024 Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause
NeurIPSW 2024 Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause
NeurIPSW 2024 Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause
ICML 2021 Asynchronous Distributed Learning : Adapting to Gradient Delays Without Prior Knowledge Rotem Zamir Aviv, Ido Hakimi, Assaf Schuster, Kfir Yehuda Levy
NeurIPS 2021 Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman, Kfir Levy, Ido Hakimi, Mark Silberstein
ICLR 2020 Gap-Aware Mitigation of Gradient Staleness Saar Barkai, Ido Hakimi, Assaf Schuster