The Changing Landscape of the Software Industry and its Implications for India - Umang Gupta (VLDB, 1996)

Deep transfer learning with ontology for image classification. - Umang Gupta; Santanu Chaudhury (NCVPRIPG, 2015)

Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. - Shashank Gupta 001; Priya Radhakrishnan; Manish Gupta 001; Vasudeva Varma; Umang Gupta (KG4IR@SIGIR, 2017)

A Sentiment-and-Semantics-Based Approach for Emotion Detection in Textual Conversations. - Umang Gupta; Ankush Chatterjee; Radhakrishnan Srikanth; Puneet Agrawal (CoRR, 2017)

Deep Generative Dual Memory Network for Continual Learning. - Nitin Kamra; Umang Gupta; Yan Liu 002 (CoRR, 2017)

Policy Learning for Continuous Space Security Games Using Neural Networks. - Nitin Kamra; Umang Gupta; Fei Fang 001; Yan Liu 002; Milind Tambe (AAAI, 2018)

A Case Study on using Crowdsourcing for Ambiguous Tasks. - Ankush Chatterjee; Umang Gupta; Puneet Agrawal (IJCCI, 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)

Deep Fictitious Play for Games with Continuous Action Spaces. - Nitin Kamra; Umang Gupta; Kai Wang 040; Fei Fang 001; Yan Liu 002; Milind Tambe (AAMAS, 2019)

DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. - Nitin Kamra; Umang Gupta; Kai Wang 040; Fei Fang 001; Yan Liu 002; Milind Tambe (GameSec, 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)

Clustering on Ranked Data for Campaign Selection. - Umang Gupta; Vandana Bhattacherjee; Partha Sarathi Bishnu (IEEE Access, 2020)

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. - Umang Gupta; Aaron M. Ferber; Bistra Dilkina; Greg Ver Steeg (AAAI, 2021)

Improved Brain Age Estimation With Slice-Based Set Networks. - Umang Gupta; Pradeep K. Lam; Greg Ver Steeg; Paul M. Thompson (ISBI, 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 (MIDL, 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 001; Paul M. Thompson; José Luis Ambite (CoRR, 2021)

Attributing Fair Decisions with Attention Interventions. - Ninareh Mehrabi; Umang Gupta; Fred Morstatter; Greg Ver Steeg; Aram Galstyan (CoRR, 2021)

Outlier Detection in Wireless Sensor Networks Based on Neighbourhood. - Umang Gupta; Vandana Bhattacharjee; Partha Sarathi Bishnu (Wirel. Pers. Commun., 2021)

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 001; Kai-Wei Chang; Greg Ver Steeg; Aram Galstyan (ACL (Findings), 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 (DeCaF/FAIR@MICCAI, 2022)

Estimating transfer entropy under long ranged dependencies. - Sahil Garg; Umang Gupta; Yu Chen; Syamantak Datta Gupta; Yeshaya Adler; Anderson Schneider; Yuriy Nevmyvaka (UAI, 2022)

Federated Progressive Sparsification (Purge, Merge, Tune)+. - Dimitris Stripelis; Umang Gupta; Greg Ver Steeg; José Luis Ambite (CoRR, 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 001; Paul M. Thompson; et al. (CoRR, 2022)

StockNet - GRU based stock index prediction. - Umang Gupta; Vandana Bhattacharjee; Partha Sarathi Bishnu (Expert Syst. Appl., 2022)

Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning. - Umang Gupta; Aram Galstyan; Greg Ver Steeg (ACL (Findings), 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 (ISBI, 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 (SIPAIM, 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)

"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition. - Huy Nghiem; Umang Gupta; Fred Morstatter (EACL (1), 2024)

VQ-TR: Vector Quantized Attention for Time Series Forecasting. - Kashif Rasul; Andrew Bennett; Pablo Vicente; Umang Gupta; Hena Ghonia; Anderson Schneider; Yuriy Nevmyvaka (ICLR, 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 001; Paul M. Thompson; José Luis Ambite (Patterns, 2024)