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2020 – today
- 2021
[j2]Maria Korshunova
, Boris Ginsburg, Alexander Tropsha, Olexandr Isayev:
OpenChem: A Deep Learning Toolkit for Computational Chemistry and Drug Design. J. Chem. Inf. Model. 61(1): 7-13 (2021)- 2020
- [c10]Samuel Kriman, Stanislav Beliaev, Boris Ginsburg, Jocelyn Huang, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Yang Zhang:
Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions. ICASSP 2020: 6124-6128 - [c9]Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg:
Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model. ICASSP 2020: 7074-7078 - [c8]Somshubra Majumdar, Boris Ginsburg:
MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition. INTERSPEECH 2020: 3356-3360 - [i14]Boris Ginsburg:
On regularization of gradient descent, layer imbalance and flat minima. CoRR abs/2007.09286 (2020) - [i13]Fei Jia, Somshubra Majumdar, Boris Ginsburg:
MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection. CoRR abs/2010.13886 (2020)
2010 – 2019
- 2019
- [c7]Jason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde:
Jasper: An End-to-End Convolutional Neural Acoustic Model. INTERSPEECH 2019: 71-75 - [i12]Jason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde:
Jasper: An End-to-End Convolutional Neural Acoustic Model. CoRR abs/1904.03288 (2019) - [i11]Boris Ginsburg, Patrice Castonguay, Oleksii Hrinchuk, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Huyen Nguyen, Jonathan M. Cohen:
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks. CoRR abs/1905.11286 (2019) - [i10]Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M. Cohen:
NeMo: a toolkit for building AI applications using Neural Modules. CoRR abs/1909.09577 (2019) - [i9]Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg:
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model. CoRR abs/1910.10697 (2019) - 2018
- [j1]Anastasia Dubrovina, Pavel Kisilev, Boris Ginsburg, Sharbell Y. Hashoul, Ron Kimmel:
Computational mammography using deep neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 243-247 (2018) - [c6]Peter H. Jin, Boris Ginsburg, Kurt Keutzer:
Spatially Parallel Convolutions. ICLR (Workshop) 2018 - [c5]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. ICLR (Poster) 2018 - [i8]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) - [i7]Jason Li, Ravi Gadde, Boris Ginsburg, Vitaly Lavrukhin:
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation. CoRR abs/1811.00707 (2018) - 2017
- [c4]Oleksii Kuchaiev, Boris Ginsburg:
Factorization tricks for LSTM networks. ICLR (Workshop) 2017 - [c3]Kevin Vincent, Kevin Stephano, Michael A. Frumkin, Boris Ginsburg, Julien Demouth:
On Improving the Numerical Stability of Winograd Convolutions. ICLR (Workshop) 2017 - [i6]Oleksii Kuchaiev, Boris Ginsburg:
Factorization tricks for LSTM networks. CoRR abs/1703.10722 (2017) - [i5]Oleksii Kuchaiev, Boris Ginsburg:
Training Deep AutoEncoders for Collaborative Filtering. CoRR abs/1708.01715 (2017) - [i4]Yang You, Igor Gitman, Boris Ginsburg:
Scaling SGD Batch Size to 32K for ImageNet Training. CoRR abs/1708.03888 (2017) - [i3]Igor Gitman, Boris Ginsburg:
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification. CoRR abs/1709.08145 (2017) - [i2]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. CoRR abs/1710.03740 (2017) - 2016
- [c2]Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky:
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. NIPS 2016: 1534-1542 - [i1]Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky:
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. CoRR abs/1609.00629 (2016)
2000 – 2009
- 2002
- [c1]Roy Armoni, Limor Fix, Alon Flaisher, Rob Gerth, Boris Ginsburg, Tomer Kanza, Avner Landver, Sela Mador-Haim, Eli Singerman, Andreas Tiemeyer, Moshe Y. Vardi, Yael Zbar:
The ForSpec Temporal Logic: A New Temporal Property-Specification Language. TACAS 2002: 296-211
Coauthor Index
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