Bilal Alsallakh | DeepAI

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Featured Co-authors

Xiaoming Liu
83 publications
Mao Ye
37 publications
Jun Yuan
21 publications
Pushkar Mishra
17 publications
Liu Ren
14 publications
Amin Jourabloo
10 publications
Narine Kokhlikyan
9 publications
Shabnam Ghaffarzadegan
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Miguel Martin
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Fulton Wang
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Vivek Miglani
5 publications

∙ 12/26/2022

Bias Mitigation Framework for Intersectional Subgroups in Neural Networks

We propose a fairness-aware learning framework that mitigates intersecti...

2 Narine Kokhlikyan, et al. ∙

∙ 04/27/2022

Prescriptive and Descriptive Approaches to Machine-Learning Transparency

Specialized documentation techniques have been developed to communicate ...

7 David Adkins, et al. ∙

∙ 04/19/2022

A Tour of Visualization Techniques for Computer Vision Datasets

We survey a number of data visualization techniques for analyzing Comput...

13 Bilal Alsallakh, et al. ∙

∙ 06/08/2021

Investigating sanity checks for saliency maps with image and text classification

Saliency maps have shown to be both useful and misleading for explaining...

0 Narine Kokhlikyan, et al. ∙

∙ 10/23/2020

Investigating Saturation Effects in Integrated Gradients

Integrated Gradients has become a popular method for post-hoc model inte...

0 Vivek Miglani, et al. ∙

∙ 10/05/2020

Mind the Pad – CNNs can Develop Blind Spots

We show how feature maps in convolutional networks are susceptible to sp...

0 Bilal Alsallakh, et al. ∙

∙ 09/16/2020

Captum: A unified and generic model interpretability library for PyTorch

In this paper we introduce a novel, unified, open-source model interpret...

21 Narine Kokhlikyan, et al. ∙

∙ 07/12/2020

Visualizing Classification Structure in Deep Neural Networks

We propose a measure to compute class similarity in large-scale classifi...

0 Bilal Alsallakh, et al. ∙

∙ 11/18/2017

Prediction Scores as a Window into Classifier Behavior

Most multi-class classifiers make their prediction for a test sample by ...

0 Medha Katehara, et al. ∙

∙ 10/17/2017

Do Convolutional Neural Networks Learn Class Hierarchy?

Convolutional Neural Networks (CNNs) currently achieve state-of-the-art ...

0 Bilal Alsallakh, et al. ∙

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