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06/25/2021
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
There is an increasing number of medical use-cases where classification ...
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08/31/2020
Langevin Cooling for Domain Translation
Domain translation is the task of finding correspondence between two dom...
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04/11/2019
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution
Developing techniques for adversarial attack and defense is an important...
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02/05/2019
Multi-Kernel Prediction Networks for Denoising of Burst Images
In low light or short-exposure photography the image is often corrupted ...
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05/30/2018
Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder
Adversarial attacks on deep learning models have been demonstrated to be...
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05/22/2018
A Recurrent Convolutional Neural Network Approach for Sensorless Force Estimation in Robotic Surgery
Providing force feedback as relevant information in current Robot-Assist...
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09/11/2016