MrtnMndt/meta-learning-CODEBRIM
Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset".
Professor at Uni Bremen. Head of the Open World Lifelong Machine Learning group (OWL-ML)
Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset".
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625
Template website for ContinualAI Unconference
Implementation of our CVPR-W CLVision paper "Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference"
PyTorch implementation of our paper "Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures"