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ORCIDMilind Rao
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2020 – today
- 2023
[c21]Milind Rao, Gopinath Chennupati, Gautam Tiwari, Anit Kumar Sahu, Anirudh Raju, Ariya Rastrow, Jasha Droppo:
Federated Self-Learning with Weak Supervision for Speech Recognition. ICASSP 2023: 1-5- [c20]Aakriti Agrawal, Milind Rao, Anit Kumar Sahu, Gopinath Chennupati, Andreas Stolcke:
Learning When to Trust Which Teacher for Weakly Supervised ASR. INTERSPEECH 2023: 381-385 - [i12]Aakriti Agrawal, Milind Rao, Anit Kumar Sahu, Gopinath Chennupati, Andreas Stolcke:
Learning When to Trust Which Teacher for Weakly Supervised ASR. CoRR abs/2306.12012 (2023) - [i11]Milind Rao, Gopinath Chennupati, Gautam Tiwari, Anit Kumar Sahu, Anirudh Raju, Ariya Rastrow, Jasha Droppo:
Federated Self-Learning with Weak Supervision for Speech Recognition. CoRR abs/2306.12015 (2023) - [i10]Guruprasad V. Ramesh, Gopinath Chennupati, Milind Rao, Anit Kumar Sahu, Ariya Rastrow, Jasha Droppo:
Federated Representation Learning for Automatic Speech Recognition. CoRR abs/2308.02013 (2023) - 2022
- [j4]Rajarshi Saha
, Stefano Rini, Milind Rao, Andrea J. Goldsmith:
Decentralized Optimization Over Noisy, Rate-Constrained Networks: Achieving Consensus by Communicating Differences. IEEE J. Sel. Areas Commun. 40(2): 449-467 (2022) - [c19]Zhiqi Huang, Milind Rao, Anirudh Raju, Zhe Zhang, Bach Bui, Chul Lee:
MTL-SLT: Multi-Task Learning for Spoken Language Tasks. ConvAI@ACL 2022: 120-130 - [c18]Anirudh Raju, Milind Rao, Gautam Tiwari, Pranav Dheram, Bryan Anderson, Zhe Zhang, Chul Lee, Bach Bui, Ariya Rastrow:
On joint training with interfaces for spoken language understanding. INTERSPEECH 2022: 1253-1257 - [c17]Gopinath Chennupati, Milind Rao, Gurpreet Chadha, Aaron Eakin, Anirudh Raju, Gautam Tiwari, Anit Kumar Sahu, Ariya Rastrow, Jasha Droppo, Andy Oberlin, Buddha Nandanoor, Prahalad Venkataramanan, Zheng Wu, Pankaj Sitpure:
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale. KDD 2022: 2780-2788 - [i9]Gopinath Chennupati, Milind Rao, Gurpreet Chadha, Aaron Eakin, Anirudh Raju, Gautam Tiwari, Anit Kumar Sahu, Ariya Rastrow, Jasha Droppo, Andy Oberlin, Buddha Nandanoor, Prahalad Venkataramanan, Zheng Wu, Pankaj Sitpure:
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale. CoRR abs/2207.09078 (2022) - 2021
- [c16]Rajarshi Saha, Stefano Rini, Milind Rao, Andrea Goldsmith:
Decentralized Optimization Over Noisy, Rate-Constrained Networks: How We Agree By Talking About How We Disagree. ICASSP 2021: 5055-5059 - [c15]Milind Rao, Pranav Dheram, Gautam Tiwari, Anirudh Raju, Jasha Droppo, Ariya Rastrow, Andreas Stolcke:
DO as I Mean, Not as I Say: Sequence Loss Training for Spoken Language Understanding. ICASSP 2021: 7473-7477 - [c14]Swayambhu Nath Ray, Minhua Wu, Anirudh Raju, Pegah Ghahremani, Raghavendra Bilgi, Milind Rao, Harish Arsikere, Ariya Rastrow, Andreas Stolcke, Jasha Droppo:
Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End. Interspeech 2021: 3455-3459 - [i8]Milind Rao, Pranav Dheram, Gautam Tiwari, Anirudh Raju, Jasha Droppo, Ariya Rastrow, Andreas Stolcke:
Do as I mean, not as I say: Sequence Loss Training for Spoken Language Understanding. CoRR abs/2102.06750 (2021) - [i7]Swayambhu Nath Ray, Minhua Wu, Anirudh Raju, Pegah Ghahremani, Raghavendra Bilgi, Milind Rao, Harish Arsikere, Ariya Rastrow, Andreas Stolcke, Jasha Droppo:
Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End. CoRR abs/2105.07071 (2021) - [i6]Anirudh Raju, Gautam Tiwari, Milind Rao, Pranav Dheram, Bryan Anderson, Zhe Zhang, Bach Bui, Ariya Rastrow:
End-to-End Spoken Language Understanding using RNN-Transducer ASR. CoRR abs/2106.15919 (2021) - 2020
- [c13]Milind Rao, Anirudh Raju, Pranav Dheram, Bach Bui, Ariya Rastrow:
Speech to Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces. INTERSPEECH 2020: 876-880 - [i5]Milind Rao, Anirudh Raju, Pranav Dheram, Bach Bui, Ariya Rastrow:
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces. CoRR abs/2008.06173 (2020) - [i4]Rajarshi Saha, Stefano Rini, Milind Rao, Andrea Goldsmith:
Decentralized optimization over noisy, rate-constrained networks: How we agree by talking about how we disagree. CoRR abs/2010.11292 (2020)
2010 – 2019
- 2019
- [c12]Stefano Rini, Milind Rao, Andrea Goldsmith:
Distributed Sub-gradient Algorithms with Limited Communications. ACSSC 2019: 2171-2175 - [c11]Milind Rao, Stefano Rini, Andrea Goldsmith:
Distributed Convex Optimization with Limited Communications. ICASSP 2019: 4604-4608 - 2018
- [j3]Greg Malysa, Mikel Hernaez, Idoia Ochoa, Milind Rao, Karthik Ganesan, Tsachy Weissman:
QVZ: lossy compression of quality values. Bioinform. 34(1): 179 (2018) - [c10]Nariman Farsad, Milind Rao, Andrea Goldsmith:
Deep Learning for Joint Source-Channel Coding of Text. ICASSP 2018: 2326-2330 - [c9]Milind Rao, Nariman Farsad, Andrea Goldsmith:
Variable Length Joint Source-Channel Coding of Text Using Deep Neural Networks. SPAWC 2018: 1-5 - [i3]Nariman Farsad, Milind Rao, Andrea Goldsmith:
Deep Learning for Joint Source-Channel Coding of Text. CoRR abs/1802.06832 (2018) - [i2]Milind Rao, Stefano Rini, Andrea Goldsmith:
Distributed Convex Optimization With Limited Communications. CoRR abs/1810.12457 (2018) - 2017
- [c8]Mainak Chowdhury, Milind Rao, Andrea Goldsmith:
Direction finding using non-coherent measurements in large antenna arrays. ACSSC 2017: 1231-1236 - [c7]Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea J. Goldsmith:
Estimation in autoregressive processes with partial observations. ICASSP 2017: 4212-4216 - [c6]Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith:
Fundamental estimation limits in autoregressive processes with compressive measurements. ISIT 2017: 2895-2899 - 2016
- [c5]Nariman Farsad, Yonathan Murin, Milind Rao, Andrea J. Goldsmith:
On the capacity of diffusion-based molecular timing channels with diversity. ACSSC 2016: 1117-1121 - [c4]Milind Rao, Alon Kipnis, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith:
System identification from partial samples: Non-asymptotic analysis. CDC 2016: 2938-2944 - 2015
- [j2]Greg Malysa, Mikel Hernaez, Idoia Ochoa, Milind Rao, Karthik Ganesan, Tsachy Weissman:
QVZ: lossy compression of quality values. Bioinform. 31(19): 3122-3129 (2015) - [j1]Milind Rao, Francisco Javier López-Martínez, Mohamed-Slim Alouini, Andrea J. Goldsmith:
MGF Approach to the Analysis of Generalized Two-Ray Fading Models. IEEE Trans. Wirel. Commun. 14(5): 2548-2561 (2015) - [c3]Milind Rao, Mainak Chowdhury, Yue Zhao, Tara Javidi, Andrea J. Goldsmith:
Value of storage for wind power producers in forward power markets. ACC 2015: 5686-5691 - [c2]Milind Rao, Francisco Javier López-Martínez, Mohamed-Slim Alouini, Andrea J. Goldsmith:
MGF approach to the capacity analysis of Generalized Two-Ray fading models. ICC 2015: 4278-4284 - 2014
- [c1]Milind Rao, Francisco Javier López-Martínez, Andrea Goldsmith:
Statistics and system performance metrics for the Two Wave with Diffuse Power fading model. CISS 2014: 1-6 - [i1]Milind Rao, Francisco Javier López-Martínez, Mohamed-Slim Alouini, Andrea Goldsmith:
MGF Approach to the Analysis of Generalized Two-Ray Fading Models. CoRR abs/1406.5101 (2014)
Coauthor Index
aka: Andrea Goldsmith
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