Hannun, Awni

16 publications

TMLR 2024 Adaptive Training Distributions with Scalable Online Bilevel Optimization David Grangier, Pierre Ablin, Awni Hannun

ICMLW 2024 Projected Language Models: A Large Model Pre-Segmented into Smaller Ones David Grangier, Angelos Katharopoulos, Pierre Ablin, Awni Hannun

NeurIPSW 2023 Bilevel Optimization to Learn Training Distributions for Language Modeling Under Domain Shift David Grangier, Pierre Ablin, Awni Hannun

AISTATS 2022 Data Appraisal Without Data Sharing Xinlei Xu, Awni Hannun, Laurens Van Der Maaten

ICML 2022 Flashlight: Enabling Innovation in Tools for Machine Learning Jacob D Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

ICLR 2022 Gradient Matching for Domain Generalization Yuge Shi, Jeffrey Seely, Philip Torr, Siddharth N, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve

NeurIPS 2022 Star Temporal Classification: Sequence Modeling with Partially Labeled Data Vineel Pratap, Awni Hannun, Gabriel Synnaeve, Ronan Collobert

NeurIPS 2021 CrypTen: Secure Multi-Party Computation Meets Machine Learning Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten

NeurIPS 2021 Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems Ruihan Wu, Chuan Guo, Awni Hannun, Laurens van der Maaten

UAI 2021 Measuring Data Leakage in Machine-Learning Models with Fisher Information Awni Hannun, Chuan Guo, Laurens Maaten

ICML 2020 Certified Data Removal from Machine Learning Models Chuan Guo, Tom Goldstein, Awni Hannun, Laurens Van Der Maaten

ICML 2020 Word-Level Speech Recognition with a Letter to Word Encoder Ronan Collobert, Awni Hannun, Gabriel Synnaeve

ICML 2019 A Fully Differentiable Beam Search Decoder Ronan Collobert, Awni Hannun, Gabriel Synnaeve

Distill 2017 Sequence Modeling with CTC Awni Hannun

ICML 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, Qiang Cheng, Guoliang Chen, Jie Chen, Jingdong Chen, Zhijie Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Ke Ding, Niandong Du, Erich Elsen, Jesse Engel, Weiwei Fang, Linxi Fan, Christopher Fougner, Liang Gao, Caixia Gong, Awni Hannun, Tony Han, Lappi Johannes, Bing Jiang, Cai Ju, Billy Jun, Patrick LeGresley, Libby Lin, Junjie Liu, Yang Liu, Weigao Li, Xiangang Li, Dongpeng Ma, Sharan Narang, Andrew Ng, Sherjil Ozair, Yiping Peng, Ryan Prenger, Sheng Qian, Zongfeng Quan, Jonathan Raiman, Vinay Rao, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Kavya Srinet, Anuroop Sriram, Haiyuan Tang, Liliang Tang, Chong Wang, Jidong Wang, Kaifu Wang, Yi Wang, Zhijian Wang, Zhiqian Wang, Shuang Wu, Likai Wei, Bo Xiao, Wen Xie, Yan Xie, Dani Yogatama, Bin Yuan, Jun Zhan, Zhenyao Zhu

ICML 2016 Persistent RNNs: Stashing Recurrent Weights On-Chip Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse Engel, Awni Hannun, Sanjeev Satheesh