Shubho Sengupta | DeepAI

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∙ 10/06/2021

Parallel Composition of Weighted Finite-State Transducers

Finite-state transducers (FSTs) are frequently used in speech recognitio...

0 Shubho Sengupta, et al. ∙

∙ 09/02/2021

CrypTen: Secure Multi-Party Computation Meets Machine Learning

Secure multi-party computation (MPC) allows parties to perform computati...

0 Brian Knott, et al. ∙

∙ 01/12/2021

Private Randomized Controlled Trials: A Protocol for Industry Scale Deployment

In this paper, we outline a way to deploy a privacy-preserving protocol ...

0 Mahnush Movahedi, et al. ∙

∙ 10/11/2019

Privacy-Preserving Contextual Bandits

Contextual bandits are online learners that, given an input, select an a...

0 Awni Hannun, et al. ∙

∙ 02/12/2019

ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero

The AlphaGo, AlphaGo Zero, and AlphaZero series of algorithms are a rema...

14 Yuandong Tian, et al. ∙

∙ 04/17/2017

Exploring Sparsity in Recurrent Neural Networks

Recurrent Neural Networks (RNN) are widely used to solve a variety of pr...

0 Sharan Narang, et al. ∙

∙ 02/25/2017

Deep Voice: Real-time Neural Text-to-Speech

We present Deep Voice, a production-quality text-to-speech system constr...

0 Sercan O. Arik, et al. ∙

∙ 12/08/2015

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

We show that an end-to-end deep learning approach can be used to recogni...

0 Dario Amodei, et al. ∙

∙ 12/17/2014

Deep Speech: Scaling up end-to-end speech recognition

We present a state-of-the-art speech recognition system developed using ...

0 Awni Hannun, et al. ∙

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