Jwala Dhamala
Orcid: 0000-0002-5396-9187
According to our database1,
Jwala Dhamala
authored at least 29 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity.
CoRR, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CoRR, 2022
An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
2021
Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning.
CoRR, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models.
Medical Image Anal., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks.
Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020
2019
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences.
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology.
Medical Image Anal., 2018
Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection.
CoRR, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology.
IEEE Trans. Medical Imaging, 2017
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models.
Proceedings of the Information Processing in Medical Imaging, 2017
Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach.
Proceedings of the Computing in Cardiology, 2017
2016
Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016