Search Results for author: Marcin Możejko

Found 5 papers, 1 papers with code

Superkernel Neural Architecture Search for Image Denoising

no code implementations19 Apr 2020 Marcin Możejko, Tomasz Latkowski, Łukasz Treszczotko, Michał Szafraniuk, Krzysztof Trojanowski

Recent advancements in Neural Architecture Search(NAS) resulted in finding new state-of-the-art Artificial Neural Network (ANN) solutions for tasks like image classification, object detection, or semantic segmentation without substantial human supervision.

Image Classification Image Denoising +4

Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks

no code implementations2 Dec 2018 Paweł Gora, Maciej Brzeski, Marcin Możejko, Arkadiusz Klemenko, Adrian Kochański

We analyze the accuracy of traffic simulations metamodels based on neural networks and gradient boosting models (LightGBM), applied to traffic optimization as fitness functions of genetic algorithms.

Inhibited Softmax for Uncertainty Estimation in Neural Networks

1 code implementation3 Oct 2018 Marcin Możejko, Mateusz Susik, Rafał Karczewski

We present a new method for uncertainty estimation and out-of-distribution detection in neural networks with softmax output.

Out-of-Distribution Detection Sentiment Analysis

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