Search Results for author:
Found 6 papers, 2 papers with code
Inhibited Softmax for Uncertainty Estimation in Neural Networks
We present a new method for uncertainty estimation and out-of-distribution detection in neural networks with softmax output.
Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks
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.
Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish
This paper presents our contribution to PolEval 2019 Task 6: Hate speech and bullying detection.
Superkernel Neural Architecture Search for Image Denoising
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.
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This challenge is based on a newly collected validation and testing image datasets, and hence, named SIDD+.
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction
The model combines data for SMILES string representations of anti-cancer drugs, their inhibition profiles against a panel of protein kinases, cell lines biological features and measurements of the sensitivity of the cell lines to the drugs.
