Vol 1 (2020): Proceedings of the Northern Lights Deep Learning Workshop 2020 | Proceedings of the Northern Lights Deep Learning Workshop

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Published: 2020-02-26

Articles

Notes on the Symmetries of 2-Layer ReLU-Networks

Henning Petzka

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Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance

Alexander Hepburn, Valero Laparra, Ryan McConville, Raul Santos-Rodriguez

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Machine listening in spatial acoustic scenes with deep networks in different microphone geometries

Jörn Anemüller

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PointNet and geometric reasoning for detection of grape vines from single frame RGB-D data in outdoor conditions

Polina Kurtser, Ola Ringdahl, Nati Rotstein, Henrik Andreasson

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Towards detection and classification of microscopic foraminifera using transfer learning

Thomas Haugland Johansen, Steffen Aagaard Sørensen

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Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder

Alexandra Albu, Alina Enescu, Luigi Malagò

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Visual Object Detection For Autonomous UAV Cinematography

Fotini Patrona

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Short-Term Load Forecasting with Dilated Recurrent Attention Networks in Presence of Missing Data

Changkyu Choi

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Joint Attention Neural Model for Demand Prediction in Online Marketplaces

Ashish Gupta, Rishabh Mehrotra

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Using Deep Learning Methods to Monitor Non-Observable States in a Building

Kristoffer Tangrand, Bernt Bremdal

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Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks

Petru Hlihor, Riccardo Volpi, Luigi Malagò

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Generative Adversarial Immitation Learning for Steering an Unmanned Surface Vehicle

Alexandra Vedeler, Narada Warakagoda

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Controlling Blood Glucose For Patients With Type 1 DiabetesUsing Deep Reinforcement Learning – The Influence OfChanging The Reward Function

Miguel Angel Tejedor Hernandez, Jonas Nordhaug Myhre

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