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Igor Gitman
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2020 – today
- 2024
- [i9]Shubham Toshniwal, Ivan Moshkov, Sean Narenthiran, Daria Gitman, Fei Jia, Igor Gitman:
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset. CoRR abs/2402.10176 (2024) - 2023
- [c2]Aleksandr Laptev, Vladimir Bataev, Igor Gitman, Boris Ginsburg:
Powerful and Extensible WFST Framework for Rnn-Transducer Losses. ICASSP 2023: 1-5 - [i8]Aleksandr Laptev, Vladimir Bataev, Igor Gitman, Boris Ginsburg:
Powerful and Extensible WFST Framework for RNN-Transducer Losses. CoRR abs/2303.10384 (2023) - [i7]Igor Gitman, Vitaly Lavrukhin, Aleksandr Laptev, Boris Ginsburg:
Confidence-based Ensembles of End-to-End Speech Recognition Models. CoRR abs/2306.15824 (2023)
2010 – 2019
- 2019
- [c1]Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao:
Understanding the Role of Momentum in Stochastic Gradient Methods. NeurIPS 2019: 9630-9640 - [i6]Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao:
Understanding the Role of Momentum in Stochastic Gradient Methods. CoRR abs/1910.13962 (2019) - 2018
- [i5]Igor Gitman, Deepak Dilipkumar, Ben Parr:
Convergence Analysis of Gradient Descent Algorithms with Proportional Updates. CoRR abs/1801.03137 (2018) - [i4]Igor Gitman, Jieshi Chen, Eric Lei, Artur Dubrawski:
Novel Prediction Techniques Based on Clusterwise Linear Regression. CoRR abs/1804.10742 (2018) - [i3]Oleksii Kuchaiev, Boris Ginsburg, Igor Gitman, Vitaly Lavrukhin, Carl Case, Paulius Micikevicius:
OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models. CoRR abs/1805.10387 (2018) - 2017
- [i2]Yang You, Igor Gitman, Boris Ginsburg:
Scaling SGD Batch Size to 32K for ImageNet Training. CoRR abs/1708.03888 (2017) - [i1]Igor Gitman, Boris Ginsburg:
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification. CoRR abs/1709.08145 (2017)
Coauthor Index
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