Umang Gupta

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 35

Top Topics

Nash Equilibrium

Continuous Action

Top Venues

Publications

Huy Nghiem, Umang Gupta, Fred Morstatter
"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition. CoRR (2024)
Huy Nghiem, Umang Gupta, Fred Morstatter
"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition. EACL (1) (2024)
Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia, Anderson Schneider, Yuriy Nevmyvaka
VQ-TR: Vector Quantized Attention for Time Series Forecasting. ICLR (2024)
Umang Gupta, Aram Galstyan, Greg Ver Steeg
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning. CoRR (2023)
Umang Gupta, Aram Galstyan, Greg Ver Steeg
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning. ACL (Findings) (2023)
Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. ISBI (2023)
Umang Gupta, Tamoghna Chattopadhyay, Nikhil Dhinagar, Paul M. Thompson, Greg Ver Steeg, Alzheimer's Disease Neuroimaging Initiative
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. CoRR (2023)
Dheeraj Komandur, Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Sophia I. Thomopoulos, Jiu-Chiuan Chen, Dan Beavers, Greg Ver Steeg, Paul M. Thompson
Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction. SIPAIM (2023)
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. ACL (Findings) (2022)
Dimitris Stripelis, Umang Gupta, Nikhil Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. CoRR (2022)
Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil Dhinagar, Tanmay Ghai, Rafael Sanchez, Chrysovalantis Anastasiou, Armaghan Asghar, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite
Secure Federated Learning for Neuroimaging. CoRR (2022)
Sahil Garg, Umang Gupta, Yu Chen, Syamantak Datta Gupta, Yeshaya Adler, Anderson Schneider, Yuriy Nevmyvaka
Estimating transfer entropy under long ranged dependencies. UAI (2022)
Umang Gupta, Vandana Bhattacharjee, Partha Sarathi Bishnu
StockNet - GRU based stock index prediction. Expert Syst. Appl. 207 (2022)
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. CoRR (2022)
Dimitris Stripelis, Umang Gupta, Nikhil Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. DeCaF/FAIR@MICCAI (2022)
Dimitris Stripelis, Umang Gupta, Greg Ver Steeg, José Luis Ambite
Federated Progressive Sparsification (Purge, Merge, Tune)+. CoRR (2022)
Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
Attributing Fair Decisions with Attention Interventions. CoRR (2021)
Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. CoRR (2021)
Umang Gupta, Pradeep K. Lam, Greg Ver Steeg, Paul M. Thompson
Improved Brain Age Estimation With Slice-Based Set Networks. ISBI (2021)
Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. CoRR (2021)
Umang Gupta, Pradeep Lam, Greg Ver Steeg, Paul Thompson
Improved Brain Age Estimation with Slice-based Set Networks. CoRR (2021)
Umang Gupta, Vandana Bhattacharjee, Partha Sarathi Bishnu
Outlier Detection in Wireless Sensor Networks Based on Neighbourhood. Wirel. Pers. Commun. 116 (1) (2021)
Umang Gupta, Dimitris Stripelis, Pradeep K. Lam, Paul M. Thompson, José Luis Ambite, Greg Ver Steeg
Membership Inference Attacks on Deep Regression Models for Neuroimaging. CoRR (2021)
Umang Gupta, Dimitris Stripelis, Pradeep K. Lam, Paul M. Thompson, José Luis Ambite, Greg Ver Steeg
Membership Inference Attacks on Deep Regression Models for Neuroimaging. MIDL (2021)
Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. AAAI (2021)
Umang Gupta, Vandana Bhattacherjee, Partha Sarathi Bishnu
Clustering on Ranked Data for Campaign Selection. IEEE Access 8 (2020)
Ankush Chatterjee, Umang Gupta, Manoj Kumar Chinnakotla, Radhakrishnan Srikanth, Michel Galley, Puneet Agrawal
Understanding Emotions in Text Using Deep Learning and Big Data. Comput. Hum. Behav. 93 (2019)
Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
Deep Fictitious Play for Games with Continuous Action Spaces. AAMAS (2019)
Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. GameSec (2019)
Sonam Damani, Nitya Raviprakash, Umang Gupta, Ankush Chatterjee, Meghana Joshi, Khyatti Gupta, Kedhar Nath Narahari, Puneet Agrawal, Manoj Kumar Chinnakotla, Sneha Magapu, Abhishek Mathur
Ruuh: A Deep Learning Based Conversational Social Agent. CoRR (2018)
Ankush Chatterjee, Umang Gupta, Puneet Agrawal
A Case Study on using Crowdsourcing for Ambiguous Tasks. IJCCI (2018)
Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe
Policy Learning for Continuous Space Security Games Using Neural Networks. AAAI (2018)
Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta
Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. KG4IR@SIGIR (2017)
Nitin Kamra, Umang Gupta, Yan Liu
Deep Generative Dual Memory Network for Continual Learning. CoRR (2017)
Umang Gupta, Ankush Chatterjee, Radhakrishnan Srikanth, Puneet Agrawal
A Sentiment-and-Semantics-Based Approach for Emotion Detection in Textual Conversations. CoRR (2017)
Umang Gupta, Santanu Chaudhury
Deep transfer learning with ontology for image classification. NCVPRIPG (2015)
Umang Gupta
The Changing Landscape of the Software Industry and its Implications for India VLDB (1996)