| 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 | 113 | 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 | 107 | 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 | 92 | 2017 |
| On Enhancing Speech Emotion Recognition using Generative Adversarial Networks S Sahu, R Gupta, C Espy-Wilson arXiv preprint arXiv:1806.06626, 2018 | 70 | 2018 |
| Paralinguistic event detection from speech using probabilistic time-series smoothing and masking. R Gupta, K Audhkhasi, S Lee, S Narayanan Interspeech, 173-177, 2013 | 50 | 2013 |
| 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 | 49 | 2016 |
| 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 | 41 | 2021 |
| 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 | 37 | 2015 |
| 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 | 36 | 2022 |
| 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 | 36* | 2022 |
| 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 | 35 | 2018 |
| 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 | 34 | 2019 |
| 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 | 33 | 2018 |
| 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 | 33 | 2015 |
| 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, 2017 | 31 | 2017 |
| Online Affect Tracking with Multimodal Kalman Filters K Somandepalli, R Gupta, M Nasir, BM Booth, S Lee, SS Narayanan Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016 | 30 | 2016 |
| Data augmentation for low resource sentiment analysis using generative adversarial networks R Gupta ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 28 | 2019 |
| Modeling multiple time series annotations as noisy distortions of the ground truth: An Expectation-Maximization approach R Gupta, K Audhkhasi, Z Jacokes, A Rozga, SS Narayanan IEEE transactions on affective computing 9 (1), 76-89, 2016 | 28* | 2016 |
| Analysis of engagement behavior in children during dyadic interactions using prosodic cues R Gupta, D Bone, S Lee, S Narayanan Computer Speech & Language 37, 47-66, 2016 | 28 | 2016 |
| Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification Y Pruksachatkun, S Krishna, J Dhamala, R Gupta, KW Chang arXiv preprint arXiv:2106.10826, 2021 | 27 | 2021 |
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern CaliforniaE-mailová adresa ověřena na: sipi.usc.edu
