Awni Y. Hannun

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Star Temporal Classification: Sequence Classification with Partially Labeled Data.

Vineel Pratap, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert

CoRR, 2022

Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract).

Awni Y. Hannun, Chuan Guo, Laurens van der Maaten

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Flashlight: Enabling Innovation in Tools for Machine Learning.

Jacob D. Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

Proceedings of the International Conference on Machine Learning, 2022

Gradient Matching for Domain Generalization.

Yuge Shi, Jeffrey Seely, Philip H. S. Torr, Siddharth Narayanaswamy, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve

Proceedings of the Tenth International Conference on Learning Representations, 2022

Parallel Composition of Weighted Finite-State Transducers.

Shubho Sengupta, Vineel Pratap, Awni Y. Hannun

Proceedings of the IEEE International Conference on Acoustics, 2022

Data Appraisal Without Data Sharing.

Xinlei Xu, Awni Y. Hannun, Laurens van der Maaten

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

The History of Speech Recognition to the Year 2030.

Awni Y. Hannun

CoRR, 2021

The Role of Evolution in Machine Intelligence.

Awni Y. Hannun

CoRR, 2021

Measuring data leakage in machine-learning models with Fisher information.

Awni Y. Hannun, Chuan Guo, Laurens van der Maaten

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Semi-Supervised end-to-end Speech Recognition via Local Prior Matching.

Wei-Ning Hsu, Ann Lee, Gabriel Synnaeve, Awni Y. Hannun

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems.

Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten

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.

Brian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten

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.

Mimee Xu, Laurens van der Maaten, Awni Y. Hannun

CoRR, 2020

Differentiable Weighted Finite-State Transducers.

Awni Y. Hannun, Vineel Pratap, Jacob Kahn, Wei-Ning Hsu

CoRR, 2020

The Trade-Offs of Private Prediction.

Laurens van der Maaten, Awni Y. Hannun

CoRR, 2020

Semi-Supervised Speech Recognition via Local Prior Matching.

Wei-Ning Hsu, Ann Lee, Gabriel Synnaeve, Awni Y. Hannun

CoRR, 2020

Secure multiparty computations in floating-point arithmetic.

Chuan Guo, Awni Y. Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu

CoRR, 2020

Iterative Pseudo-Labeling for Speech Recognition.

Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Scaling Up Online Speech Recognition Using ConvNets.

Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters.

Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Certified Data Removal from Machine Learning Models.

Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten

Proceedings of the 37th International Conference on Machine Learning, 2020

Word-Level Speech Recognition With a Letter to Word Encoder.

Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve

Proceedings of the 37th International Conference on Machine Learning, 2020

Self-Training for End-to-End Speech Recognition.

Jacob Kahn, Ann Lee, Awni Y. Hannun

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Privacy-Preserving Contextual Bandits.

Awni Y. Hannun, Brian Knott, Shubho Sengupta, Laurens van der Maaten

CoRR, 2019

Word-level Speech Recognition with a Dynamic Lexicon.

Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve

CoRR, 2019

Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning.

Yichen Shen, Maxime Voisin, Alireza Aliamiri, Anand Avati, Awni Y. Hannun, Andrew Y. Ng

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions.

Awni Y. Hannun, Ann Lee, Qiantong Xu, Ronan Collobert

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

A fully differentiable beam search decoder.

Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve

Proceedings of the 36th International Conference on Machine Learning, 2019

Wav2Letter++: A Fast Open-source Speech Recognition System.

Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert

Proceedings of the IEEE International Conference on Acoustics, 2019

Lead2Gold: Towards Exploiting the Full Potential of Noisy Transcriptions for Speech Recognition.

Adrien Dufraux, Emmanuel Vincent, Awni Y. Hannun, Armelle Brun, Matthijs Douze

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

Transcribing real-valued sequences with deep neural networks.

Awni Y. Hannun

PhD thesis, 2018

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

Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert

CoRR, 2018

2017

Building DNN acoustic models for large vocabulary speech recognition.

Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng

Comput. Speech Lang., 2017

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks.

Pranav Rajpurkar, Awni Y. Hannun, Masoumeh Haghpanahi, Codie Bourn, Andrew Y. Ng

CoRR, 2017

2016

Learning Multiscale Features Directly FromWaveforms.

Zhenyao Zhu, Jesse H. Engel, Awni Y. Hannun

CoRR, 2016

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

Christopher T. Lengerich, Awni Y. Hannun

CoRR, 2016

Learning Multiscale Features Directly from Waveforms.

Zhenyao Zhu, Jesse H. Engel, Awni Y. Hannun

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Persistent RNNs: Stashing Recurrent Weights On-Chip.

Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh

Proceedings of the 33nd International Conference on Machine Learning, 2016

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

Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

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

Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu

CoRR, 2015

2014

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

Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng

CoRR, 2014

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

Andrew L. Maas, Awni Y. Hannun, Daniel Jurafsky, Andrew Y. Ng

CoRR, 2014

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

Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng

CoRR, 2014