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Umang Gupta
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2020 – today
- 2024
- [c18]Huy Nghiem, Umang Gupta, Fred Morstatter:
"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition. EACL (1) 2024: 1293-1309 - [c17]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 - [i15]Huy Nghiem, Umang Gupta, Fred Morstatter:
"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition. CoRR abs/2402.03221 (2024) - 2023
- [c16]Umang Gupta, Aram Galstyan, Greg Ver Steeg:
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning. ACL (Findings) 2023: 12612-12629 - [c15]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: 1-5 - [c14]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: 1-5 - [i14]Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. 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 abs/2303.01491 (2023) - [i13]Umang Gupta, Aram Galstyan, Greg Ver Steeg:
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning. CoRR abs/2305.19264 (2023) - 2022
- [j4]Umang Gupta
, Vandana Bhattacharjee
, Partha Sarathi Bishnu
:
StockNet - GRU based stock index prediction. Expert Syst. Appl. 207: 117986 (2022) - [c13]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: 658-678 - [c12]Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson
, José Luis Ambite:
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. DeCaF/FAIR@MICCAI 2022: 141-151 - [c11]Sahil Garg, Umang Gupta, Yu Chen, Syamantak Datta Gupta, Yeshaya Adler, Anderson Schneider, Yuriy Nevmyvaka:
Estimating transfer entropy under long ranged dependencies. UAI 2022: 685-695 - [i12]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 abs/2203.12574 (2022) - [i11]Dimitris Stripelis, Umang Gupta, Greg Ver Steeg, José Luis Ambite:
Federated Progressive Sparsification (Purge, Merge, Tune)+. CoRR abs/2204.12430 (2022) - [i10]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:
Secure Federated Learning for Neuroimaging. CoRR abs/2205.05249 (2022) - [i9]Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite:
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. CoRR abs/2208.11669 (2022) - 2021
- [j3]Umang Gupta
, Vandana Bhattacharjee, Partha Sarathi Bishnu:
Outlier Detection in Wireless Sensor Networks Based on Neighbourhood. Wirel. Pers. Commun. 116(1): 443-454 (2021) - [c10]Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg:
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. AAAI 2021: 7610-7619 - [c9]Umang Gupta, Pradeep K. Lam, Greg Ver Steeg, Paul M. Thompson
:
Improved Brain Age Estimation With Slice-Based Set Networks. ISBI 2021: 840-844 - [c8]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: 228-251 - [i8]Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg:
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. CoRR abs/2101.04108 (2021) - [i7]Umang Gupta, Pradeep Lam, Greg Ver Steeg, Paul Thompson:
Improved Brain Age Estimation with Slice-based Set Networks. CoRR abs/2102.04438 (2021) - [i6]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 abs/2105.02866 (2021) - [i5]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:
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. CoRR abs/2108.03437 (2021) - [i4]Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan:
Attributing Fair Decisions with Attention Interventions. CoRR abs/2109.03952 (2021) - 2020
- [j2]Umang Gupta
, Vandana Bhattacherjee
, Partha Sarathi Bishnu
:
Clustering on Ranked Data for Campaign Selection. IEEE Access 8: 162421-162431 (2020)
2010 – 2019
- 2019
- [j1]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: 309-317 (2019) - [c7]Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe:
Deep Fictitious Play for Games with Continuous Action Spaces. AAMAS 2019: 2042-2044 - [c6]Nitin Kamra
, Umang Gupta, Kai Wang, Fei Fang
, Yan Liu, Milind Tambe:
DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. GameSec 2019: 238-258 - 2018
- [c5]Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe:
Policy Learning for Continuous Space Security Games Using Neural Networks. AAAI 2018: 1103-1112 - [c4]Ankush Chatterjee, Umang Gupta, Puneet Agrawal:
A Case Study on using Crowdsourcing for Ambiguous Tasks. IJCCI 2018: 242-247 - [i3]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 abs/1810.12097 (2018) - 2017
- [c3]Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta:
Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. KG4IR@SIGIR 2017: 38-42 - [i2]Umang Gupta, Ankush Chatterjee, Radhakrishnan Srikanth, Puneet Agrawal:
A Sentiment-and-Semantics-Based Approach for Emotion Detection in Textual Conversations. CoRR abs/1707.06996 (2017) - [i1]Nitin Kamra, Umang Gupta, Yan Liu:
Deep Generative Dual Memory Network for Continual Learning. CoRR abs/1710.10368 (2017) - 2015
- [c2]Umang Gupta, Santanu Chaudhury:
Deep transfer learning with ontology for image classification. NCVPRIPG 2015: 1-4
1990 – 1999
- 1996
- [c1]Umang Gupta:
The Changing Landscape of the Software Industry and its Implications for India. VLDB 1996: 2
Coauthor Index
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