Abubakar Abid

Orcid: 0000-0002-8701-3351

According to our database1, Abubakar Abid authored at least 27 papers between 2015 and 2023.

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Bibliography

2023
Federated benchmarking of medical artificial intelligence with MedPerf.
Nat. Mac. Intell., July, 2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map.
CoRR, 2023

AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages.
Proceedings of the 4th Workshop on African Natural Language Processing, 2023

2022
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality.
CoRR, 2022

Meaningfully debugging model mistakes using conceptual counterfactual explanations.
Proceedings of the International Conference on Machine Learning, 2022

Clustering Plotted Data by Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Large language models associate Muslims with violence.
Nat. Mach. Intell., 2021

Meaningfully Explaining a Model's Mistakes.
CoRR, 2021

Persistent Anti-Muslim Bias in Large Language Models.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Deep learning interpretation of echocardiograms.
npj Digit. Medicine, 2020

An online platform for interactive feedback in biomedical machine learning.
Nat. Mach. Intell., 2020

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning.
CoRR, 2020

Improving Training on Noisy Stuctured Labels.
CoRR, 2020

2019
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild.
CoRR, 2019

Contrastive Variational Autoencoder Enhances Salient Features.
CoRR, 2019

Concrete Autoencoders: Differentiable Feature Selection and Reconstruction.
Proceedings of the 36th International Conference on Machine Learning, 2019

Contrastive Multivariate Singular Spectrum Analysis.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Interpretation of Neural Networks Is Fragile.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders.
CoRR, 2018

Stochastic EM for Shuffled Linear Regression.
CoRR, 2018

Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

An Enhanced Mechanistic Model For Capnography, With Application To CHF-COPD Discrimination.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Stochastic Expectation-Maximization Approach to Shuffled Linear Regression.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Model-Based Estimation of Respiratory Parameters from Capnography, With Application to Diagnosing Obstructive Lung Disease.
IEEE Trans. Biomed. Eng., 2017

Contrastive Principal Component Analysis.
CoRR, 2017

2015
Model-based estimation of pulmonary compliance and resistance parameters from time-based capnography.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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