Ido Hakimi

According to our database, Ido Hakimi authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

q2d: Turning Questions into Dialogs to Teach Models How to Search.

Yonatan Bitton, Shlomi Cohen-Ganor, Ido Hakimi, Yoad Lewenberg, Roee Aharoni, Enav Weinreb

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Distributed Deep Neural Networks.

Ido Hakimi

PhD thesis, 2022

SMEGA2: Distributed Asynchronous Deep Neural Network Training With a Single Momentum Buffer.

Refael Cohen, Ido Hakimi, Assaf Schuster

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Learning Under Delayed Feedback: Implicitly Adapting to Gradient Delays.

Rotem Zamir Aviv, Ido Hakimi, Assaf Schuster, Kfir Y. Levy

CoRR, 2021

Fine-tuning giant neural networks on commodity hardware with automatic pipeline model parallelism.

Saar Eliad, Ido Hakimi, Alon De Jagger, Mark Silberstein, Assaf Schuster

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

Faster Neural Network Training with Approximate Tensor Operations.

Menachem Adelman, Kfir Y. Levy, Ido Hakimi, Mark Silberstein

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

Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge.

Rotem Zamir Aviv, Ido Hakimi, Assaf Schuster, Kfir Yehuda Levy

Proceedings of the 38th International Conference on Machine Learning, 2021

LAGA: Lagged AllReduce with Gradient Accumulation for Minimal Idle Time.

Ido Hakimi, Rotem Zamir Aviv, Kfir Y. Levy, Assaf Schuster

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Gap-Aware Mitigation of Gradient Staleness.

Saar Barkai, Ido Hakimi, Assaf Schuster

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Taming Momentum in a Distributed Asynchronous Environment.

Ido Hakimi, Saar Barkai, Moshe Gabel, Assaf Schuster

CoRR, 2019