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Abubakar Abid
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Journal Articles
- 2023
- [j5]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:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - 2021
- [j4]Abubakar Abid, Maheen Farooqi, James Zou:
Large language models associate Muslims with violence. Nat. Mach. Intell. 3(6): 461-463 (2021) - 2020
- [j3]Abubakar Abid, Ali Abdalla, Ali Abid, Dawood Khan, Abdulrahman Alfozan, James Zou:
An online platform for interactive feedback in biomedical machine learning. Nat. Mach. Intell. 2(2): 86-88 (2020) - [j2]Amirata Ghorbani, David Ouyang, Abubakar Abid, Bryan He, Jonathan H. Chen, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou:
Deep learning interpretation of echocardiograms. npj Digit. Medicine 3 (2020) - 2017
- [j1]Abubakar Abid, Rebecca J. Mieloszyk, George C. Verghese, Baruch S. Krauss, Thomas Heldt:
Model-Based Estimation of Respiratory Parameters from Capnography, With Application to Diagnosing Obstructive Lung Disease. IEEE Trans. Biomed. Eng. 64(12): 2957-2967 (2017)
Conference and Workshop Papers
- 2023
- [c11]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:
AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages. AfricaNLP 2023 - 2022
- [c10]Tarek Naous, Srinjay Sarkar, Abubakar Abid, James Zou:
Clustering Plotted Data by Image Segmentation. CVPR 2022: 21467-21472 - [c9]Abubakar Abid, Mert Yüksekgönül, James Zou:
Meaningfully debugging model mistakes using conceptual counterfactual explanations. ICML 2022: 66-88 - 2021
- [c8]Abubakar Abid, Maheen Farooqi, James Zou:
Persistent Anti-Muslim Bias in Large Language Models. AIES 2021: 298-306 - 2019
- [c7]Amirata Ghorbani, Abubakar Abid, James Y. Zou:
Interpretation of Neural Networks Is Fragile. AAAI 2019: 3681-3688 - [c6]Abdi-Hakin Dirie, Abubakar Abid, James Y. Zou:
Contrastive Multivariate Singular Spectrum Analysis. Allerton 2019: 1122-1127 - [c5]Muhammed Fatih Balin, Abubakar Abid, James Y. Zou:
Concrete Autoencoders: Differentiable Feature Selection and Reconstruction. ICML 2019: 444-453 - 2018
- [c4]Abubakar Abid, James Y. Zou:
A Stochastic Expectation-Maximization Approach to Shuffled Linear Regression. Allerton 2018: 470-477 - [c3]Ekin Karasan, Abubakar Abid, Rebecca J. Mieloszyk, Baruch S. Krauss, Thomas Heldt, George C. Verghese:
An Enhanced Mechanistic Model For Capnography, With Application To CHF-COPD Discrimination. EMBC 2018: 5267-5272 - [c2]Abubakar Abid, James Y. Zou:
Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders. NeurIPS 2018: 10568-10578 - 2015
- [c1]Abubakar Abid, Rebecca J. Mieloszyk, George C. Verghese, Baruch S. Krauss, Thomas Heldt:
Model-based estimation of pulmonary compliance and resistance parameters from time-based capnography. EMBC 2015: 1687-1690
Informal and Other Publications
- 2023
- [i17]Chris Chinenye Emezue, Sanchit Gandhi, Lewis Tunstall, Abubakar Abid, Josh Meyer, Quentin Lhoest, Pete Allen, Patrick von Platen, Douwe Kiela, Yacine Jernite, Julien Chaumond, Merve Noyan, Omar Sanseviero:
AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages. CoRR abs/2303.12582 (2023) - [i16]Ammar Sherif, Abubakar Abid, Mustafa Elattar, Mohamed ElHelw:
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map. CoRR abs/2307.03374 (2023) - 2022
- [i15]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.:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i14]Kailas Vodrahalli, Justin Ko, Albert S. Chiou, Roberto A. Novoa, Abubakar Abid, Michelle Phung, Kiana Yekrang, Paige Petrone, James Zou, Roxana Daneshjou:
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality. CoRR abs/2209.09105 (2022) - 2021
- [i13]Abubakar Abid, Maheen Farooqi, James Zou:
Persistent Anti-Muslim Bias in Large Language Models. CoRR abs/2101.05783 (2021) - [i12]Abubakar Abid, James Zou:
Meaningfully Explaining a Model's Mistakes. CoRR abs/2106.12723 (2021) - [i11]Tarek Naous, Srinjay Sarkar, Abubakar Abid, James Zou:
Clustering Plotted Data by Image Segmentation. CoRR abs/2110.05187 (2021) - 2020
- [i10]Abubakar Abid, James Y. Zou:
Improving Training on Noisy Stuctured Labels. CoRR abs/2003.03862 (2020) - [i9]Kexin Huang, Tianfan Fu, Dawood Khan, Ali Abid, Ali Abdalla, Abubakar Abid, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun:
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning. CoRR abs/2010.03951 (2020) - 2019
- [i8]Abubakar Abid, Muhammad Fatih Balin, James Y. Zou:
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction. CoRR abs/1901.09346 (2019) - [i7]Abubakar Abid, James Y. Zou:
Contrastive Variational Autoencoder Enhances Salient Features. CoRR abs/1902.04601 (2019) - [i6]Abubakar Abid, Ali Abdalla, Ali Abid, Dawood Khan, Abdulrahman Alfozan, James Y. Zou:
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild. CoRR abs/1906.02569 (2019) - 2018
- [i5]Abubakar Abid, James Y. Zou:
Stochastic EM for Shuffled Linear Regression. CoRR abs/1804.00681 (2018) - [i4]Abubakar Abid, James Y. Zou:
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders. CoRR abs/1810.10107 (2018) - [i3]Abdi-Hakin Dirie, Abubakar Abid, James Y. Zou:
Contrastive Multivariate Singular Spectrum Analysis. CoRR abs/1810.13317 (2018) - 2017
- [i2]Abubakar Abid, Vivek Kumar Bagaria, Martin J. Zhang, James Y. Zou:
Contrastive Principal Component Analysis. CoRR abs/1709.06716 (2017) - [i1]Amirata Ghorbani, Abubakar Abid, James Y. Zou:
Interpretation of Neural Networks is Fragile. CoRR abs/1710.10547 (2017)
Coauthor Index
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