Awni Y. Hannun

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 25

Top Topics

Speech Recognition

Fisher Information

Machine Learning

Top Venues

Publications

Xinlei Xu, Awni Y. Hannun, Laurens van der Maaten
Data Appraisal Without Data Sharing. AISTATS (2022)
Awni Y. Hannun, Chuan Guo, Laurens van der Maaten
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract). IJCAI (2022)
Yuge Shi, Jeffrey Seely, Philip H. S. Torr, Siddharth Narayanaswamy, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve
Gradient Matching for Domain Generalization. ICLR (2022)
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
Flashlight: Enabling Innovation in Tools for Machine Learning. ICML (2022)
Shubho Sengupta, Vineel Pratap, Awni Y. Hannun
Parallel Composition of Weighted Finite-State Transducers. ICASSP (2022)
Brian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten
CrypTen: Secure Multi-Party Computation Meets Machine Learning. CoRR (2021)
Brian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten
CrypTen: Secure Multi-Party Computation Meets Machine Learning. NeurIPS (2021)
Awni Y. Hannun, Chuan Guo, Laurens van der Maaten
Measuring data leakage in machine-learning models with Fisher information. UAI (2021)
Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. CoRR (2021)
Awni Y. Hannun, Chuan Guo, Laurens van der Maaten
Measuring Data Leakage in Machine-Learning Models with Fisher Information. CoRR (2021)
Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. NeurIPS (2021)
Mimee Xu, Laurens van der Maaten, Awni Y. Hannun
Data Appraisal Without Data Sharing. CoRR (2020)
Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten
Certified Data Removal from Machine Learning Models. ICML (2020)
Laurens van der Maaten, Awni Y. Hannun
The Trade-Offs of Private Prediction. CoRR (2020)
Chuan Guo, Awni Y. Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu
Secure multiparty computations in floating-point arithmetic. CoRR (2020)
Awni Y. Hannun, Brian Knott, Shubho Sengupta, Laurens van der Maaten
Privacy-Preserving Contextual Bandits. CoRR (2019)
Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten
Certified Data Removal from Machine Learning Models. CoRR (2019)
Yichen Shen, Maxime Voisin, Alireza Aliamiri, Anand Avati, Awni Y. Hannun, Andrew Y. Ng
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning. KDD (2019)
Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng
Building DNN acoustic models for large vocabulary speech recognition. Comput. Speech Lang. 41 (2017)
Pranav Rajpurkar, Awni Y. Hannun, Masoumeh Haghpanahi, Codie Bourn, Andrew Y. Ng
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks. CoRR (2017)
Zhenyao Zhu, Jesse H. Engel, Awni Y. Hannun
Learning Multiscale Features Directly FromWaveforms. CoRR (2016)
Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh
Persistent RNNs: Stashing Recurrent Weights On-Chip. ICML (2016)
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
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML (2016)
Christopher T. Lengerich, Awni Y. Hannun
An End-to-End Architecture for Keyword Spotting and Voice Activity Detection. CoRR (2016)
Zhenyao Zhu, Jesse H. Engel, Awni Y. Hannun
Learning Multiscale Features Directly from Waveforms. INTERSPEECH (2016)
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
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR (2015)
Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng
Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. CoRR (2014)
Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng
Deep Speech: Scaling up end-to-end speech recognition. CoRR (2014)
Andrew L. Maas, Awni Y. Hannun, Daniel Jurafsky, Andrew Y. Ng
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs. CoRR (2014)