Ido Hakimi

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Distributed Learning

Delayed Feedback

Steepest Ascent

Top Venues

USENIX Annual Technical Conference

Publications

Yonatan Bitton, Shlomi Cohen-Ganor, Ido Hakimi, Yoad Lewenberg, Roee Aharoni, Enav Weinreb
q2d: Turning Questions into Dialogs to Teach Models How to Search. EMNLP (2023)
Yonatan Bitton, Shlomi Cohen-Ganor, Ido Hakimi, Yoad Lewenberg, Roee Aharoni, Enav Weinreb
q2d: Turning Questions into Dialogs to Teach Models How to Search. CoRR (2023)
Refael Cohen, Ido Hakimi, Assaf Schuster
SMEGA2: Distributed Asynchronous Deep Neural Network Training With a Single Momentum Buffer. ICPP (2022)
Saar Eliad, Ido Hakimi, Alon De Jagger, Mark Silberstein, Assaf Schuster
Fine-tuning giant neural networks on commodity hardware with automatic pipeline model parallelism. USENIX Annual Technical Conference (2021)
Ido Hakimi, Rotem Zamir Aviv, Kfir Y. Levy, Assaf Schuster
LAGA: Lagged AllReduce with Gradient Accumulation for Minimal Idle Time. ICDM (2021)
Rotem Zamir Aviv, Ido Hakimi, Assaf Schuster, Kfir Yehuda Levy
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge. ICML (2021)
Menachem Adelman, Kfir Y. Levy, Ido Hakimi, Mark Silberstein
Faster Neural Network Training with Approximate Tensor Operations. NeurIPS (2021)
Rotem Zamir Aviv, Ido Hakimi, Assaf Schuster, Kfir Y. Levy
Learning Under Delayed Feedback: Implicitly Adapting to Gradient Delays. CoRR (2021)
Saar Barkai, Ido Hakimi, Assaf Schuster
Gap-Aware Mitigation of Gradient Staleness. ICLR (2020)
Ido Hakimi, Saar Barkai, Moshe Gabel, Assaf Schuster
Taming Momentum in a Distributed Asynchronous Environment. CoRR (2019)
Saar Barkai, Ido Hakimi, Assaf Schuster
Gap Aware Mitigation of Gradient Staleness. CoRR (2019)