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Rahul Gupta
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Cited by
Cited by
Year
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
3942021
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
192*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
1292014
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
1162017
On the intrinsic and extrinsic fairness evaluation metrics for contextualized language representations
YT Cao, Y Pruksachatkun, KW Chang, R Gupta, V Kumar, J Dhamala, ...
arXiv preprint arXiv:2203.13928, 2022
962022
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
892022
On Enhancing Speech Emotion Recognition using Generative Adversarial Networks
S Sahu, R Gupta, C Espy-Wilson
arXiv preprint arXiv:1806.06626, 2018
802018
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
682016
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
612019
FLIRT: Feedback Loop In-context Red Teaming
N Mehrabi, P Goyal, C Dupuy, Q Hu, S Ghosh, R Zemel, KW Chang, ...
arXiv preprint arXiv:2308.04265, 2023
572023
Evaluating Large Language Models on Controlled Generation Tasks
J Sun, Y Tian, W Zhou, N Xu, Q Hu, R Gupta, JF Wieting, N Peng, X Ma
arXiv preprint arXiv:2310.14542, 2023
562023
Fedmultimodal: A benchmark for multimodal federated learning
T Feng, D Bose, T Zhang, R Hebbar, A Ramakrishna, R Gupta, M Zhang, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
56*2023
Privacy in the Time of Language Models
C Peris, C Dupuy, J Majmudar, R Parikh, S Smaili, R Zemel, R Gupta
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
552023
“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
542023
Paralinguistic event detection from speech using probabilistic time-series smoothing and masking.
R Gupta, K Audhkhasi, S Lee, S Narayanan
Interspeech, 173-177, 2013
532013
ADePT: Auto-encoder based Differentially Private Text Transformation
S Krishna, R Gupta, C Dupuy
arXiv preprint arXiv:2102.01502, 2021
522021
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
512022
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
482022
Differentially Private Decoding in Large Language Models
J Majmudar, C Dupuy, C Peris, S Smaili, R Gupta, R Zemel
arXiv preprint arXiv:2205.13621, 2022
462022
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
452017
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