Igor Gitman

According to our database, Igor Gitman authored at least 9 papers between 2017 and 2024.

Collaborative distances:

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

2024

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset.

Shubham Toshniwal, Ivan Moshkov, Sean Narenthiran, Daria Gitman, Fei Jia, Igor Gitman

CoRR, 2024

2023

Confidence-based Ensembles of End-to-End Speech Recognition Models.

Igor Gitman, Vitaly Lavrukhin, Aleksandr Laptev, Boris Ginsburg

CoRR, 2023

Powerful and Extensible WFST Framework for Rnn-Transducer Losses.

Aleksandr Laptev, Vladimir Bataev, Igor Gitman, Boris Ginsburg

Proceedings of the IEEE International Conference on Acoustics, 2023

2019

Understanding the Role of Momentum in Stochastic Gradient Methods.

Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models.

Oleksii Kuchaiev, Boris Ginsburg, Igor Gitman, Vitaly Lavrukhin, Carl Case, Paulius Micikevicius

CoRR, 2018

Novel Prediction Techniques Based on Clusterwise Linear Regression.

Igor Gitman, Jieshi Chen, Eric Lei, Artur Dubrawski

CoRR, 2018

Convergence Analysis of Gradient Descent Algorithms with Proportional Updates.

Igor Gitman, Deepak Dilipkumar, Ben Parr

CoRR, 2018

2017

Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification.

Igor Gitman, Boris Ginsburg

CoRR, 2017

Scaling SGD Batch Size to 32K for ImageNet Training.

Yang You, Igor Gitman, Boris Ginsburg

CoRR, 2017