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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...
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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...
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06/20/2022
Achieving Utility, Fairness, and Compactness via Tunable Information Bottleneck Measures
Designing machine learning algorithms that are accurate yet fair, not di...
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03/09/2022
Renyi Fair Information Bottleneck for Image Classification
We develop a novel method for ensuring fairness in machine learning whic...
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03/03/2022
Robustness and Adaptation to Hidden Factors of Variation
We tackle here a specific, still not widely addressed aspect, of AI robu...
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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...
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07/28/2021
Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes
Ensuring trusted artificial intelligence (AI) in the real world is an cr...
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03/04/2021
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods
Machine learning (ML) models used in medical imaging diagnostics can be ...
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12/11/2020
RENATA: REpreseNtation And Training Alteration for Bias Mitigation
We propose a novel method for enforcing AI fairness with respect to prot...
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09/28/2020
AI Progress in Skin Lesion Analysis
We examine progress in the use of AI for detecting skin lesions, with pa...
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06/03/2020
Rényi Generative Adversarial Networks
We propose a loss function for generative adversarial networks (GANs) us...
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04/28/2020
Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics
Few studies of deep learning systems (DLS) have addressed issues of arti...
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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...
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12/29/2019
Hierarchical Variational Imitation Learning of Control Programs
Autonomous agents can learn by imitating teacher demonstrations of the i...
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12/16/2017
