Umang Gupta

According to our database, Umang Gupta authored at least 31 papers between 1996 and 2024.

Collaborative distances:

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

2024

A federated learning architecture for secure and private neuroimaging analysis.

Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Chrysovalantis Anastasiou, Rafael Sanchez, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite

Patterns, 2024

VQ-TR: Vector Quantized Attention for Time Series Forecasting.

Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia, Anderson Schneider, Yuriy Nevmyvaka

Proceedings of the Twelfth International Conference on Learning Representations, 2024

"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition.

Huy Nghiem, Umang Gupta, Fred Morstatter

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models.

Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2023

Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction.

Dheeraj Komandur, Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Sophia I. Thomopoulos, Jiu-Chiuan Chen, Dan Beavers, Greg Ver Steeg, Paul M. Thompson

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models.

Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning.

Umang Gupta, Aram Galstyan, Greg Ver Steeg

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

StockNet - GRU based stock index prediction.

Umang Gupta, Vandana Bhattacharjee, Partha Sarathi Bishnu

Expert Syst. Appl., November, 2022

Secure Federated Learning for Neuroimaging.

Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Rafael Sanchez, Chrysovalantis Anastasiou, Armaghan Asghar, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite

CoRR, 2022

Federated Progressive Sparsification (Purge, Merge, Tune)+.

Dimitris Stripelis, Umang Gupta, Greg Ver Steeg, José Luis Ambite

CoRR, 2022

Estimating transfer entropy under long ranged dependencies.

Sahil Garg, Umang Gupta, Yu Chen, Syamantak Datta Gupta, Yeshaya Adler, Anderson Schneider, Yuriy Nevmyvaka

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Towards Sparsified Federated Neuroimaging Models via Weight Pruning.

Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.

Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Outlier Detection in Wireless Sensor Networks Based on Neighbourhood.

Umang Gupta, Vandana Bhattacharjee, Partha Sarathi Bishnu

Wirel. Pers. Commun., 2021

Attributing Fair Decisions with Attention Interventions.

Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan

CoRR, 2021

Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption.

Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil J. Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite

CoRR, 2021

Membership Inference Attacks on Deep Regression Models for Neuroimaging.

Umang Gupta, Dimitris Stripelis, Pradeep K. Lam, Paul M. Thompson, José Luis Ambite, Greg Ver Steeg

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Improved Brain Age Estimation With Slice-Based Set Networks.

Umang Gupta, Pradeep K. Lam, Greg Ver Steeg, Paul M. Thompson

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation.

Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Clustering on Ranked Data for Campaign Selection.

Umang Gupta, Vandana Bhattacherjee, Partha Sarathi Bishnu

IEEE Access, 2020

2019

Understanding Emotions in Text Using Deep Learning and Big Data.

Ankush Chatterjee, Umang Gupta, Manoj Kumar Chinnakotla, Radhakrishnan Srikanth, Michel Galley, Puneet Agrawal

Comput. Hum. Behav., 2019

DeepFP for Finding Nash Equilibrium in Continuous Action Spaces.

Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe

Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

Deep Fictitious Play for Games with Continuous Action Spaces.

Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Ruuh: A Deep Learning Based Conversational Social Agent.

Sonam Damani, Nitya Raviprakash, Umang Gupta, Ankush Chatterjee, Meghana Joshi, Khyatti Gupta, Kedhar Nath Narahari, Puneet Agrawal, Manoj Kumar Chinnakotla, Sneha Magapu, Abhishek Mathur

CoRR, 2018

A Case Study on using Crowdsourcing for Ambiguous Tasks.

Ankush Chatterjee, Umang Gupta, Puneet Agrawal

Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

Policy Learning for Continuous Space Security Games Using Neural Networks.

Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Deep Generative Dual Memory Network for Continual Learning.

Nitin Kamra, Umang Gupta, Yan Liu

CoRR, 2017

A Sentiment-and-Semantics-Based Approach for Emotion Detection in Textual Conversations.

Umang Gupta, Ankush Chatterjee, Radhakrishnan Srikanth, Puneet Agrawal

CoRR, 2017

Enhancing Categorization of Computer Science Research Papers using Knowledge Bases.

Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta

Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

2015

Deep transfer learning with ontology for image classification.

Umang Gupta, Santanu Chaudhury

Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

1996

The Changing Landscape of the Software Industry and its Implications for India

Umang Gupta

Proceedings of the VLDB'96, 1996