Towards reproducible state-of-the-art energy disaggregation N Batra, R Kukunuri, A Pandey, R Malakar, R Kumar, O Krystalakos, ... Proceedings of the 6th ACM International Conference on Embedded Systems for …, 2019 | 119 | 2019 |
Image based Indian monument recognition using convoluted neural networks A Saini, T Gupta, R Kumar, AK Gupta, M Panwar, A Mittal 2017 International Conference on Big Data, IoT and Data Science (BID), 138-142, 2017 | 46 | 2017 |
Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering R Kumar, M Patidar, V Varshney, L Vig, G Shroff Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 10 | 2022 |
A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK N Batra, R Kukunuri, A Pandey, R Malakar, R Kumar, O Krystalakos, ... Proceedings of the 6th ACM international conference on systems for energy …, 2019 | 10 | 2019 |
Prompt augmented generative replay via supervised contrastive training for lifelong intent detection V Varshney, M Patidar, R Kumar, G Shroff, L Vig US Patent App. 18/215,972, 2024 | 8 | 2024 |
Cross-Platform Performance Prediction with Transfer Learning using Machine Learning R Kumar, A Mankodi, A Bhatt, B Chaudhury, A Amrutiya 2020 11th International Conference on Computing, Communication and …, 2020 | 5 | 2020 |
Evaluating machine learning models for disparate computer systems performance prediction A Mankodi, A Bhatt, B Chaudhury, R Kumar, A Amrutiya 2020 IEEE International Conference on Electronics, Computing and …, 2020 | 3 | 2020 |
Modeling Performance and Power on Disparate Platforms Using Transfer Learning with Machine Learning Models A Mankodi, A Bhatt, B Chaudhury, R Kumar, A Amrutiya Modeling, Simulation and Optimization: Proceedings of CoMSO 2020, 231, 2021 | 1 | 2021 |