Abubakar Abid

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Persistent Anti-Muslim Bias in Large Language Models

It has been observed that large-scale language models capture undesirabl...
01/14/2021 ∙ by Abubakar Abid, et al. ∙ 66 ∙ share

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MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning

The efficacy of a drug depends on its binding affinity to the therapeuti...
10/05/2020 ∙ by Kexin Huang, et al. ∙ 0 ∙ share

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Improving Training on Noisy Stuctured Labels

Fine-grained annotations—e.g. dense image labels, image segmentation and...
03/08/2020 ∙ by Abubakar Abid, et al. ∙ 0 ∙ share

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

Accessibility is a major challenge of machine learning (ML). Typical ML ...
06/06/2019 ∙ by Abubakar Abid, et al. ∙ 0 ∙ share

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Contrastive Variational Autoencoder Enhances Salient Features

Variational autoencoders are powerful algorithms for identifying dominan...
02/12/2019 ∙ by Abubakar Abid, et al. ∙ 16 ∙ share

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Concrete Autoencoders for Differentiable Feature Selection and Reconstruction

We introduce the concrete autoencoder, an end-to-end differentiable meth...
01/27/2019 ∙ by Abubakar Abid, et al. ∙ 6 ∙ share

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Contrastive Multivariate Singular Spectrum Analysis

We introduce Contrastive Multivariate Singular Spectrum Analysis, a nove...
10/31/2018 ∙ by Abdi-Hakin Dirie, et al. ∙ 0 ∙ share

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

Measuring similarities between unlabeled time series trajectories is an ...
10/23/2018 ∙ by Abubakar Abid, et al. ∙ 8 ∙ share

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Stochastic EM for Shuffled Linear Regression

We consider the problem of inference in a linear regression model in whi...
04/02/2018 ∙ by Abubakar Abid, et al. ∙ 0 ∙ share

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Interpretation of Neural Networks is Fragile

In order for machine learning to be deployed and trusted in many applica...
10/29/2017 ∙ by Amirata Ghorbani, et al. ∙ 0 ∙ share

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Contrastive Principal Component Analysis

We present a new technique called contrastive principal component analys...
09/20/2017 ∙ by Abubakar Abid, et al. ∙ 0 ∙ share

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Linear Regression with Shuffled Labels

Is it possible to perform linear regression on datasets whose labels are...
05/03/2017 ∙ by Abubakar Abid, et al. ∙ 0 ∙ share

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Abubakar Abid

Featured Co-authors

James Zou

Jimeng Sun

Cao Xiao

Marinka Zitnik

Lucas M. Glass

Kexin Huang

Amirata Ghorbani

Martin J. Zhang

Ali Abdalla

Tianfan Fu

Ali Abid

Persistent Anti-Muslim Bias in Large Language Models

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning

Improving Training on Noisy Stuctured Labels

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

Contrastive Variational Autoencoder Enhances Salient Features

Concrete Autoencoders for Differentiable Feature Selection and Reconstruction

Contrastive Multivariate Singular Spectrum Analysis

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

Stochastic EM for Shuffled Linear Regression

Interpretation of Neural Networks is Fragile

Contrastive Principal Component Analysis

Linear Regression with Shuffled Labels