Abubakar Abid

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Federated benchmarking of medical artificial intelligence with MedPerf.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson

Nat. Mac. Intell., July, 2023

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

Ammar Sherif, Abubakar Abid, Mustafa Elattar, Mohamed ElHelw

CoRR, 2023

AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages.

Chris Chinenye Emezue, Sanchit Gandhi, Lewis Tunstall, Abubakar Abid, Joshua Meyer, Quentin Lhoest, Pete Allen, Patrick von Platen, Douwe Kiela, Yacine Jernite, Julien Chaumond, Merve Noyan, Omar Sanseviero

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.

Kailas Vodrahalli, Justin Ko, Albert S. Chiou, Roberto A. Novoa, Abubakar Abid, Michelle Phung, Kiana Yekrang, Paige Petrone, James Zou, Roxana Daneshjou

CoRR, 2022

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.

CoRR, 2022

Meaningfully debugging model mistakes using conceptual counterfactual explanations.

Abubakar Abid, Mert Yüksekgönül, James Zou

Proceedings of the International Conference on Machine Learning, 2022

Clustering Plotted Data by Image Segmentation.

Tarek Naous, Srinjay Sarkar, Abubakar Abid, James Zou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Large language models associate Muslims with violence.

Abubakar Abid, Maheen Farooqi, James Zou

Nat. Mach. Intell., 2021

Meaningfully Explaining a Model's Mistakes.

Abubakar Abid, James Zou

CoRR, 2021

Persistent Anti-Muslim Bias in Large Language Models.

Abubakar Abid, Maheen Farooqi, James Zou

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Deep learning interpretation of echocardiograms.

Amirata Ghorbani, David Ouyang, Abubakar Abid, Bryan He, Jonathan H. Chen, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou

npj Digit. Medicine, 2020

An online platform for interactive feedback in biomedical machine learning.

Abubakar Abid, Ali Abdalla, Ali Abid, Dawood Khan, Abdulrahman Alfozan, James Zou

Nat. Mach. Intell., 2020

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning.

Kexin Huang, Tianfan Fu, Dawood Khan, Ali Abid, Ali Abdalla, Abubakar Abid, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun

CoRR, 2020

Improving Training on Noisy Stuctured Labels.

Abubakar Abid, James Y. Zou

CoRR, 2020

2019

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

Abubakar Abid, Ali Abdalla, Ali Abid, Dawood Khan, Abdulrahman Alfozan, James Y. Zou

CoRR, 2019

Contrastive Variational Autoencoder Enhances Salient Features.

Abubakar Abid, James Y. Zou

CoRR, 2019

Concrete Autoencoders: Differentiable Feature Selection and Reconstruction.

Muhammed Fatih Balin, Abubakar Abid, James Y. Zou

Proceedings of the 36th International Conference on Machine Learning, 2019

Contrastive Multivariate Singular Spectrum Analysis.

Abdi-Hakin Dirie, Abubakar Abid, James Y. Zou

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Interpretation of Neural Networks Is Fragile.

Amirata Ghorbani, Abubakar Abid, James Y. Zou

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Abubakar Abid, James Y. Zou

CoRR, 2018

Stochastic EM for Shuffled Linear Regression.

Abubakar Abid, James Y. Zou

CoRR, 2018

Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders.

Abubakar Abid, James Y. Zou

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.

Ekin Karasan, Abubakar Abid, Rebecca J. Mieloszyk, Baruch S. Krauss, Thomas Heldt, George C. Verghese

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.

Abubakar Abid, James Y. Zou

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.

Abubakar Abid, Rebecca J. Mieloszyk, George C. Verghese, Baruch S. Krauss, Thomas Heldt

IEEE Trans. Biomed. Eng., 2017

Contrastive Principal Component Analysis.

Abubakar Abid, Vivek Kumar Bagaria, Martin J. Zhang, James Y. Zou

CoRR, 2017

2015

Model-based estimation of pulmonary compliance and resistance parameters from time-based capnography.

Abubakar Abid, Rebecca J. Mieloszyk, George C. Verghese, Baruch S. Krauss, Thomas Heldt

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015