Anit Kumar Sahu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
7
Active years
2014–2024
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs. | Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia |
| 2023 | ICASSP | Federated Self-Learning with Weak Supervision for Speech Recognition. | Milind Rao, Gopinath Chennupati, Gautam Tiwari, Anit Kumar Sahu, Anirudh Raju, Ariya Rastrow, Jasha Droppo |
| 2023 | Interspeech | Learning When to Trust Which Teacher for Weakly Supervised ASR. | Aakriti Agrawal, Milind Rao, Anit Kumar Sahu, Gopinath Chennupati, Andreas Stolcke |
| 2022 | ICASSP | Federated Learning Challenges and Opportunities: An Outlook. | Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang |
| 2022 | KDD | ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale. | 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 |
| 2021 | ICLR | Multiplicative Filter Networks. | Rizal Fathony, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter |
| 2021 | KDD | Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. | Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter |
| 2020 | ACSSC | Exploring the Error-Runtime Trade-off in Decentralized Optimization. | Jianyu Wang, Anit Kumar Sahu, Gauri Joshi, Soummya Kar |
| 2019 | ACSSC | FedDANE: A Federated Newton-Type Method. | Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith |
| 2019 | ACSSC | Distributed empirical risk minimization over directed graphs. | Ran Xin, Anit Kumar Sahu, Soummya Kar, Usman A. Khan |
| 2019 | AISTATS | Towards Gradient Free and Projection Free Stochastic Optimization. | Anit Kumar Sahu, Manzil Zaheer, Soummya Kar |
| 2018 | ISIT | Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection. | Dragana Bajovic, Dusan Jakovetic, Anit Kumar Sahu, Soummya Kar |
| 2018 | ISIT | CREDO: A Communication-Efficient Distributed Estimation Algorithm. | Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar |
| 2016 | ICASSP | Distributed generalized likelihood ratio tests: Fundamental limits and tradeoffs. | Anit Kumar Sahu, Soummya Kar |
| 2016 | ISIT | Distributed recursive composite hypothesis testing: Imperfect communication. | Anit Kumar Sahu, Soummya Kar |
| 2014 | ACSSC | Distributed sequential detection for Gaussian binary hypothesis testing: Heterogeneous networks. | Anit Kumar Sahu, Soummya Kar |