Jwala Dhamala | DeepAI

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Kai-Wei Chang
160 publications
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Rahul Gupta
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∙ 05/17/2023

"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation

Transgender and non-binary (TGNB) individuals disproportionately experie...

1 Anaelia Ovalle, et al. ∙

∙ 11/17/2022

Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models

Natural language often contains ambiguities that can lead to misinterpre...

5 Ninareh Mehrabi, et al. ∙

∙ 10/07/2022

An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation

Several prior works have shown that language models (LMs) can generate t...

8 Jwala Dhamala, et al. ∙

∙ 03/25/2022

On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations

Multiple metrics have been introduced to measure fairness in various nat...

0 Yang Trista Cao, et al. ∙

∙ 03/16/2022

Measuring Fairness of Text Classifiers via Prediction Sensitivity

With the rapid growth in language processing applications, fairness has ...

10 Satyapriya Krishna, et al. ∙

∙ 10/13/2021

Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning

Probabilistic estimation of cardiac electrophysiological model parameter...

18 Md Shakil Zaman, et al. ∙

∙ 06/21/2021

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification

Existing bias mitigation methods to reduce disparities in model outcomes...

13 Yada Pruksachatkun, et al. ∙

∙ 01/27/2021

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Recent advances in deep learning techniques have enabled machines to gen...

5 Jwala Dhamala, et al. ∙

∙ 10/08/2020

Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks

Neural Architecture Search (NAS) methods, which automatically learn enti...

0 Ansel MacLaughlin, et al. ∙

∙ 07/18/2020

Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction

Deep neural networks have shown great potential in image reconstruction ...

0 Xiajun Jiang, et al. ∙

∙ 06/02/2020

Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models

Estimation of patient-specific model parameters is important for persona...

12 Jwala Dhamala, et al. ∙

∙ 05/15/2020

High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model

The estimation of patient-specific tissue properties in the form of mode...

20 Jwala Dhamala, et al. ∙

∙ 07/01/2019

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

Personalization of cardiac models involves the optimization of organ tis...

0 Jwala Dhamala, et al. ∙

∙ 05/12/2019

Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential

Noninvasive reconstruction of cardiac transmembrane potential (TMP) from...

0 Sandesh Ghimire, et al. ∙

∙ 03/05/2019

Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences

Deep learning networks have shown state-of-the-art performance in many i...

0 Sandesh Ghimire, et al. ∙

∙ 11/14/2018

Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episod

Timely prediction of clinically critical events in Intensive Care Unit (...

0 Jwala Dhamala, et al. ∙

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