Rahul Gupta
Rahul Gupta
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BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
J Dhamala, T Sun, V Kumar, S Krishna, Y Pruksachatkun, KW Chang, ...
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
Fednlp: Benchmarking federated learning methods for natural language processing tasks
BY Lin, C He, Z Zeng, H Wang, Y Huang, C Dupuy, R Gupta, ...
arXiv preprint arXiv:2104.08815, 2021
Multimodal prediction of affective dimensions and depression in human-computer interactions
R Gupta, N Malandrakis, B Xiao, T Guha, M Van Segbroeck, MP Black, ...
Proceedings of the 4th International Workshop on Audio/Visual Emotion …, 2014
Adversarial Auto-Encoders for Speech Based Emotion Recognition
S Sahu, R Gupta, G Sivaraman, W AbdAlmageed, C Espy-Wilson
Proc. Interspeech 2017, 1243-1247, 2017
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
Y Trista Cao, Y Pruksachatkun, KW Chang, R Gupta, V Kumar, J Dhamala, ...
arXiv e-prints, arXiv: 2203.13928, 2022
On Enhancing Speech Emotion Recognition using Generative Adversarial Networks
S Sahu, R Gupta, C Espy-Wilson
arXiv preprint arXiv:1806.06626, 2018
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
S Soltan, S Ananthakrishnan, J FitzGerald, R Gupta, W Hamza, H Khan, ...
arXiv preprint arXiv:2208.01448, 2022
Pathological speech processing: State-of-the-art, current challenges, and future directions
R Gupta, T Chaspari, J Kim, N Kumar, D Bone, S Narayanan
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Paralinguistic event detection from speech using probabilistic time-series smoothing and masking.
R Gupta, K Audhkhasi, S Lee, S Narayanan
Interspeech, 173-177, 2013
Techniques for generating machine learning training data
A Dutta, R Gupta, S Chakraborty, DK Dhanasekaran, DK Nayak, A Sinha
US Patent 10,339,470, 2019
ADePT: Auto-encoder based Differentially Private Text Transformation
S Krishna, R Gupta, C Dupuy
arXiv preprint arXiv:2102.01502, 2021
Semi-supervised and Transfer learning approaches for low resource sentiment classification
R Gupta, S Sahu, C Espy-Wilson, S Narayanan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images.
T Agrawal, R Gupta, S Sahu, CY Espy-Wilson
MediaEval 17, 13-15, 2017
A Re-Ranker Scheme For Integrating Large Scale NLU Models
C Su, R Gupta, S Ananthakrishnan, S Matsoukas
2018 IEEE Spoken Language Technology Workshop (SLT), 670-676, 2018
Automatic estimation of parkinson's disease severity from diverse speech tasks
J Kim, M Nasir, R Gupta, MV Segbroeck, D Bone, MP Black, ZI Skordilis, ...
Sixteenth Annual Conference of the International Speech Communication …, 2015
Automated evaluation of non-native english pronunciation quality: Combining knowledge-and data-driven features at multiple time scales
MP Black, D Bone, ZI Skordilis, R Gupta, W Xia, P Papadopoulos, ...
Sixteenth Annual Conference of the International Speech Communication …, 2015
An Efficient DP-SGD Mechanism for Large Scale NLU Models
C Dupuy, R Arava, R Gupta, A Rumshisky
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
U Gupta, J Dhamala, V Kumar, A Verma, Y Pruksachatkun, S Krishna, ...
arXiv preprint arXiv:2203.12574, 2022
“I’m fully who I am”: Towards centering transgender and non-binary voices to measure biases in open language generation
A Ovalle, P Goyal, J Dhamala, Z Jaggers, KW Chang, A Galstyan, ...
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
Data augmentation for low resource sentiment analysis using generative adversarial networks
R Gupta
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
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