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CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability


Oct 07, 2021
Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting


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A Procedural World Generation Framework for Systematic Evaluation of Continual Learning


Jun 04, 2021
Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh


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When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics


May 19, 2021
Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh


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Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference


Apr 14, 2021
Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh

* Accepted for publication at CVPR-W 2021, Workshop on Continual Learning in Computer Vision (CLVision). First two authors have equal contribution 

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Avalanche: an End-to-End Library for Continual Learning


Apr 01, 2021
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

* Official Website: https://avalanche.continualai.org 

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A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning


Sep 11, 2020
Martin Mundt, Yong Won Hong, Iuliia Pliushch, Visvanathan Ramesh

* 32 pages 

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Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?


Aug 26, 2019
Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh

* Accepted at the first workshop on Statistical Deep Learning for Computer Vision (SDL-CV) at ICCV 2019 

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Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition


May 28, 2019
Martin Mundt, Sagnik Majumder, Iuliia Pliushch, Visvanathan Ramesh


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Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset


Apr 02, 2019
Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh

* Accepted for publication at CVPR 2019. Version includes supplementary material 

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Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures


Dec 14, 2018
Martin Mundt, Sagnik Majumder, Tobias Weis, Visvanathan Ramesh

* Accepted at the Critiquing and Correcting Trends in Machine Learning (CRACT) Workshop at the 32nd Conference on Neural Information Processing Systems (NeurIPS 2018) 

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Building effective deep neural network architectures one feature at a time


Oct 19, 2017
Martin Mundt, Tobias Weis, Kishore Konda, Visvanathan Ramesh


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