William Paul | DeepAI

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∙ 03/17/2023

Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances

Human action recognition is a challenging problem, particularly when the...

0 Arun V. Reddy, et al. ∙

∙ 02/15/2023

Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility

This paper investigates to what degree and magnitude tradeoffs exist bet...

0 William Paul, et al. ∙

∙ 06/20/2022

Achieving Utility, Fairness, and Compactness via Tunable Information Bottleneck Measures

Designing machine learning algorithms that are accurate yet fair, not di...

24 Adam Gronowski, et al. ∙

∙ 03/09/2022

Renyi Fair Information Bottleneck for Image Classification

We develop a novel method for ensuring fairness in machine learning whic...

0 Adam Gronowski, et al. ∙

∙ 03/03/2022

Robustness and Adaptation to Hidden Factors of Variation

We tackle here a specific, still not widely addressed aspect, of AI robu...

8 William Paul, et al. ∙

∙ 02/28/2022

EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation

Skin lesions can be an early indicator of a wide range of infectious and...

15 Haolin Yuan, et al. ∙

∙ 07/28/2021

Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes

Ensuring trusted artificial intelligence (AI) in the real world is an cr...

10 William Paul, et al. ∙

∙ 03/04/2021

Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods

Machine learning (ML) models used in medical imaging diagnostics can be ...

29 William Paul, et al. ∙

∙ 12/11/2020

RENATA: REpreseNtation And Training Alteration for Bias Mitigation

We propose a novel method for enforcing AI fairness with respect to prot...

5 William Paul, et al. ∙

∙ 09/28/2020

AI Progress in Skin Lesion Analysis

We examine progress in the use of AI for detecting skin lesions, with pa...

16 Philippe M. Burlina, et al. ∙

∙ 06/03/2020

Rényi Generative Adversarial Networks

We propose a loss function for generative adversarial networks (GANs) us...

8 Himesh Bhatia, et al. ∙

∙ 04/28/2020

Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics

Few studies of deep learning systems (DLS) have addressed issues of arti...

7 Philippe Burlina, et al. ∙

∙ 02/25/2020

Unsupervised Semantic Attribute Discovery and Control in Generative Models

This work focuses on the ability to control via latent space factors sem...

9 William Paul, et al. ∙

∙ 12/29/2019

Hierarchical Variational Imitation Learning of Control Programs

Autonomous agents can learn by imitating teacher demonstrations of the i...

17 Roy Fox, et al. ∙

∙ 12/16/2017

Ray: A Distributed Framework for Emerging AI Applications

The next generation of AI applications will continuously interact with t...

0 Philipp Moritz, et al. ∙

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