Milind Rao

Orcid: 0000-0003-2649-3205

According to our database1, Milind Rao authored at least 26 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Federated Representation Learning for Automatic Speech Recognition.
CoRR, 2023

Learning When to Trust Which Teacher for Weakly Supervised ASR.
CoRR, 2023

Federated Self-Learning with Weak Supervision for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Decentralized Optimization Over Noisy, Rate-Constrained Networks: Achieving Consensus by Communicating Differences.
IEEE J. Sel. Areas Commun., 2022

ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On joint training with interfaces for spoken language understanding.
Proceedings of the Interspeech 2022, 2022

MTL-SLT: Multi-Task Learning for Spoken Language Tasks.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
End-to-End Spoken Language Understanding using RNN-Transducer ASR.
CoRR, 2021

Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Decentralized Optimization Over Noisy, Rate-Constrained Networks: How We Agree By Talking About How We Disagree.
Proceedings of the IEEE International Conference on Acoustics, 2021

DO as I Mean, Not as I Say: Sequence Loss Training for Spoken Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Speech to Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces.
Proceedings of the Interspeech 2020, 2020

2019
Distributed Convex Optimization with Limited Communications.
Proceedings of the IEEE International Conference on Acoustics, 2019

Distributed Sub-gradient Algorithms with Limited Communications.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Variable Length Joint Source-Channel Coding of Text Using Deep Neural Networks.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Deep Learning for Joint Source-Channel Coding of Text.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Fundamental estimation limits in autoregressive processes with compressive measurements.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Estimation in autoregressive processes with partial observations.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Direction finding using non-coherent measurements in large antenna arrays.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
System identification from partial samples: Non-asymptotic analysis.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On the capacity of diffusion-based molecular timing channels with diversity.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
MGF Approach to the Analysis of Generalized Two-Ray Fading Models.
IEEE Trans. Wirel. Commun., 2015

QVZ: lossy compression of quality values.
Bioinform., 2015

MGF approach to the capacity analysis of Generalized Two-Ray fading models.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Value of storage for wind power producers in forward power markets.
Proceedings of the American Control Conference, 2015

2014
Statistics and system performance metrics for the Two Wave with Diffuse Power fading model.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014


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