Awni Y. Hannun

According to our database1, Awni Y. Hannun authored at least 43 papers between 2014 and 2022.

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Bibliography

2022
Star Temporal Classification: Sequence Classification with Partially Labeled Data.
CoRR, 2022

Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Flashlight: Enabling Innovation in Tools for Machine Learning.
Proceedings of the International Conference on Machine Learning, 2022

Gradient Matching for Domain Generalization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Parallel Composition of Weighted Finite-State Transducers.
Proceedings of the IEEE International Conference on Acoustics, 2022

Data Appraisal Without Data Sharing.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
The History of Speech Recognition to the Year 2030.
CoRR, 2021

The Role of Evolution in Machine Intelligence.
CoRR, 2021

Measuring data leakage in machine-learning models with Fisher information.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Semi-Supervised end-to-end Speech Recognition via Local Prior Matching.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CrypTen: Secure Multi-Party Computation Meets Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Data Appraisal Without Data Sharing.
CoRR, 2020

Differentiable Weighted Finite-State Transducers.
CoRR, 2020

The Trade-Offs of Private Prediction.
CoRR, 2020

Semi-Supervised Speech Recognition via Local Prior Matching.
CoRR, 2020

Secure multiparty computations in floating-point arithmetic.
CoRR, 2020

Iterative Pseudo-Labeling for Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Scaling Up Online Speech Recognition Using ConvNets.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Certified Data Removal from Machine Learning Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Word-Level Speech Recognition With a Letter to Word Encoder.
Proceedings of the 37th International Conference on Machine Learning, 2020

Self-Training for End-to-End Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Privacy-Preserving Contextual Bandits.
CoRR, 2019

Word-level Speech Recognition with a Dynamic Lexicon.
CoRR, 2019

Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

A fully differentiable beam search decoder.
Proceedings of the 36th International Conference on Machine Learning, 2019

Wav2Letter++: A Fast Open-source Speech Recognition System.
Proceedings of the IEEE International Conference on Acoustics, 2019

Lead2Gold: Towards Exploiting the Full Potential of Noisy Transcriptions for Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018
Transcribing real-valued sequences with deep neural networks.
PhD thesis, 2018

wav2letter++: The Fastest Open-source Speech Recognition System.
CoRR, 2018

2017
Building DNN acoustic models for large vocabulary speech recognition.
Comput. Speech Lang., 2017

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks.
CoRR, 2017

2016
Learning Multiscale Features Directly FromWaveforms.
CoRR, 2016

An End-to-End Architecture for Keyword Spotting and Voice Activity Detection.
CoRR, 2016

Learning Multiscale Features Directly from Waveforms.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Persistent RNNs: Stashing Recurrent Weights On-Chip.
Proceedings of the 33nd International Conference on Machine Learning, 2016


2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.
CoRR, 2015

2014
Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition.
CoRR, 2014

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs.
CoRR, 2014

Deep Speech: Scaling up end-to-end speech recognition.
CoRR, 2014


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