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Gautham Krishna Gudur
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Conference and Workshop Papers
- 2022
- [c6]Gautham Krishna Gudur, Raaghul R, Adithya K, Shrihari Vasudevan:
Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection. ICMLA 2022: 1443-1448 - 2021
- [c5]Gautham Krishna Gudur, Satheesh Kumar Perepu:
Zero-Shot Federated Learning with New Classes for Audio Classification. Interspeech 2021: 1579-1583 - 2019
- [c4]Gautham Krishna Gudur, Ateendra Ramesh, R. Srinivasan:
A vision-based deep on-device intelligent bus stop recognition system. UbiComp/ISWC Adjunct 2019: 963-968 - [c3]Sundararaman Venkataramani, Ateendra Ramesh, Sharan Sundar S, Aashish Kumar Jain, Gautham Krishna Gudur, Vineeth Vijayaraghavan:
A Dynamically Adaptive Movie Occupancy Forecasting System with Feature Optimization. ICDM Workshops 2019: 799-805 - [c2]Raghavan A. K., Venkatesh Umaashankar, Gautham Krishna Gudur:
Label Frequency Transformation for Multi-Label Multi-Class Text Classification. KONVENS 2019 - 2018
- [c1]Prahalathan Sundaramoorthy, Gautham Krishna Gudur, Manav Rajiv Moorthy, R. Nidhi Bhandari, Vineeth Vijayaraghavan:
HARNet: Towards On-Device Incremental Learning using Deep Ensembles on Constrained Devices. EMDL@MobiSys 2018: 31-36
Informal and Other Publications
- 2024
- [i8]Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi:
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. CoRR abs/2405.19597 (2024) - 2022
- [i7]Ganesh Tata, Gautham Krishna Gudur, Gopinath Chennupati, Mohammad Emtiyaz Khan:
Can Calibration Improve Sample Prioritization? CoRR abs/2210.06592 (2022) - 2021
- [i6]Gautham Krishna Gudur, Satheesh K. Perepu:
Zero-Shot Federated Learning with New Classes for Audio Classification. CoRR abs/2106.10019 (2021) - 2020
- [i5]Gautham Krishna Gudur, Bala Shyamala Balaji, Satheesh K. Perepu:
Resource-Constrained Federated Learning with Heterogeneous Labels and Models. CoRR abs/2011.03206 (2020) - [i4]Gautham Krishna Gudur, Satheesh K. Perepu:
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring. CoRR abs/2012.02539 (2020) - [i3]Abhijith Ragav, Gautham Krishna Gudur:
Bayesian Active Learning for Wearable Stress and Affect Detection. CoRR abs/2012.02702 (2020) - 2019
- [i2]Gautham Krishna Gudur, Prahalathan Sundaramoorthy, Venkatesh Umaashankar:
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition. CoRR abs/1906.00108 (2019) - 2018
- [i1]Gautham Krishna Gudur, Karthik Subramanian Nathan, Yogesh Kumar B, Ankith A. Prabhu, Ajay Kannan, Vineeth Vijayaraghavan:
A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning. CoRR abs/1809.05839 (2018)
Coauthor Index
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