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04/21/2023
Self-Supervised Adversarial Imitation Learning
Behavioural cloning is an imitation learning technique that teaches an a...
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11/10/2022
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey
Despite being responsible for state-of-the-art results in several comput...
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09/30/2020
CrowdEst: A Method for Estimating (and not Simulating) Crowd Evacuation Parameters in Generic Environments
Evacuation plans have been historically used as a safety measure for the...
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09/16/2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)
This paper presents an experimental comparison among four Automated Mach...
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08/13/2020
Imitating Unknown Policies via Exploration
Behavioral cloning is an imitation learning technique that teaches an ag...
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04/28/2020
HAPRec: Hybrid Activity and Plan Recognizer
Computer-based assistants have recently attracted much interest due to i...
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02/12/2020
Component Analysis for Visual Question Answering Architectures
Recent research advances in Computer Vision and Natural Language Process...
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09/03/2019
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
While deep learning models become more widespread, their ability to hand...
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11/14/2018
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
Recent deep learning methods for the medical imaging domain have reached...
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06/03/2017
