Publications

Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam Shroff (2022). Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection. In Findings of the Association for Computational Linguistics- NAACL 2022.

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Rajat Kumar, Mayur Patidar, Vaibhav Varshney, Lovekesh Vig, Gautam Shroff (2022). Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies.

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Amit Mankodi, Amit Bhatt, Bhaskar Chaudhary, Rajat Kumar, Aditya Amrutiya (2020). Modeling Performance and Power on Disparate Platforms using Transfer Learning with Machine Learning Models. In Das B., Patgiri R., Bandyopadhyay S., Balas V.E. (eds) Modeling, Simulation and Optimization. Smart Innovation, Systems and Technologies, vol 206. Springer, Singapore..

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Rajat Kumar, Amit Mankodi, Amit Bhatt, Bhaskar Chaudhary, Aditya Amrutiya (2020). Cross-Platform Performance Prediction with Transfer Learning using Machine Learning. In IEEE.

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Amit Mankodi, Amit Bhatt, Bhaskar Chaudhary, Rajat Kumar, Aditya Amrutiya (2020). Evaluating Machine Learning Models for Disparate Computer Systems Performance Prediction. In IEEE.

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Nipun Batra, Rithwik Kukunuri, Ayush Pandey, Raktim Malakar, Rajat Kumar, Odysseas Krystalakos, Mingjun Zhong, Paulo Meira (2019). Towards reproducible state-of-the-art energy disaggregation. In Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.

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Aradhya Saini, Tanu Gupta, Rajat Kumar, Akshay Kumar Gupta, Monika Panwar, Ankush Mittal (2018). Image based Indian monument recognition using convoluted neural networks. In IEEE.

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