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06/27/2023
Confidence-based Ensembles of End-to-End Speech Recognition Models
The number of end-to-end speech recognition models grows every year. The...
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03/18/2023
Powerful and Extensible WFST Framework for RNN-Transducer Losses
This paper presents a framework based on Weighted Finite-State Transduce...
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10/30/2019
Understanding the Role of Momentum in Stochastic Gradient Methods
The use of momentum in stochastic gradient methods has become a widespre...
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05/25/2018
OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models
We present OpenSeq2Seq -- an open-source toolkit for training sequence-t...
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04/28/2018
Novel Prediction Techniques Based on Clusterwise Linear Regression
In this paper we explore different regression models based on Clusterwis...
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01/09/2018
Convergence Analysis of Gradient Descent Algorithms with Proportional Updates
The rise of deep learning in recent years has brought with it increasing...
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09/24/2017
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification
Batch normalization (BN) has become a de facto standard for training dee...
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08/13/2017
