Aishwarya Gupta

According to our database, Aishwarya Gupta authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Speech refinement using Bi-LSTM and improved spectral clustering in speaker diarization.

Aishwarya Gupta, Archana Purwar

Multim. Tools Appl., May, 2024

Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage.

Aishwarya Gupta, Indranil Saha, Piyush Rai

CoRR, 2024

2023

Insuring Smiles: Predicting routine dental coverage using Spark ML.

Aishwarya Gupta, Rahul S. Bhogale, Priyanka Thota, Prathushkumar Dathuri, Jongwook Woo

CoRR, 2023

Look before you leap: An Access-based Prudent Page Migration for Hybrid Memories.

Aishwarya Gupta, N. S. Aswathy, Hemangee K. Kapoor

Proceedings of the 31st IFIP/IEEE International Conference on Very Large Scale Integration, 2023

Federated Learning with Uncertainty via Distilled Predictive Distributions.

Shrey Bhatt, Aishwarya Gupta, Piyush Rai

Proceedings of the Asian Conference on Machine Learning, 2023

2022

B-GWO based multi-UAV deployment and power allocation in NOMA assisted wireless networks.

Aishwarya Gupta, Aditya Trivedi, Binod Prasad

Wirel. Networks, 2022

Deployment and trajectory design of fixed-wing UAVs in NOMA assisted wireless networks.

Aishwarya Gupta, Aditya Trivedi, Binod Prasad

Phys. Commun., 2022

Bayesian Federated Learning via Predictive Distribution Distillation.

Shrey Bhatt, Aishwarya Gupta, Piyush Rai

CoRR, 2022

2021

An Improved DV-maxHop Localization Algorithm for Wireless Sensor Networks.

Aishwarya Gupta, Bharat Mahaur

Wirel. Pers. Commun., 2021

Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness.

Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

2019

VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System.

Abhinav Kumar, Aishwarya Gupta, Bishal Santra, K. S. Lalitha, Manasa Kolla, Mayank Gupta, Rishabh Singh

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

A Probabilistic Framework for Multi-Label Learning with Unseen Labels.

Abhilash Gaure, Aishwarya Gupta, Vinay Kumar Verma, Piyush Rai

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017