no code implementations • 30 Jun 2022 • Lakshya Kumar, Sagnik Sarkar
Our experiments indicate that the RoBERTa model fine-tuned with an NDCG based surrogate loss function(approxNDCG) achieves an NDCG improvement of 13. 9% compared to other popular listwise loss functions like ListNET and ListMLE.
no code implementations • 17 Jul 2021 • Lakshya Kumar, Sagnik Sarkar
For the product retrieval task, RoBERTa model is able to outperform other two models with an improvement of 164. 7% in Precision@50 and 145. 3% in Recall@50.
1 code implementation • 15 Jul 2021 • Shaashwat Agrawal, Sagnik Sarkar, Mamoun Alazab, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Quoc-Viet Pham
Federated learning (FL) is a distributed model for deep learning that integrates client-server architecture, edge computing, and real-time intelligence.
no code implementations • 16 Jun 2021 • Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu
The paper finally presents the plausible solutions associated with the identified challenges in FL based intrusion detection system implementation acting as a baseline for prospective research.
no code implementations • 17 Feb 2021 • Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu
The application of remaining useful life (RUL) prediction has taken great importance in terms of energy optimization, cost-effectiveness, and risk mitigation.