Binder, Alexander

17 publications

TMLR 2025 Efficient and Flexible Neural Network Training Through Layer-Wise Feedback Propagation Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

ICLRW 2025 Efficient and Flexible Neural Network Training Through Layer-Wise Feedback Propagation Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

NeurIPS 2024 Are Nuclear Masks All You Need for Improved Out-of-Domain Generalisation? a Closer Look at Cancer Classification in Histopathology Dhananjay Tomar, Alexander Binder, Andreas Kleppe

CVPRW 2023 Optimizing Explanations by Network Canonization and Hyperparameter Search Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin

CVPR 2023 Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

ECCV 2022 Discovering Transferable Forensic Features for CNN-Generated Images Detection Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung

ICLR 2020 Deep Semi-Supervised Anomaly Detection Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft

ECCV 2020 SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder

ICML 2018 Deep One-Class Classification Lukas Ruff, Robert Vandermeulen, Nico Goernitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller, Marius Kloft

ECCV 2018 Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data Tian Feng, Quang-Trung Truong, Duc Thanh Nguyen, Jing Yu Koh, Lap-Fai Yu, Alexander Binder, Sai-Kit Yeung

ICCVW 2017 Understanding and Comparing Deep Neural Networks for Age and Gender Classification Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller

CVPR 2016 Analyzing Classifiers: Fisher Vectors and Deep Neural Networks Sebastian Lapuschkin, Alexander Binder, Gregoire Montavon, Klaus-Robert Muller, Wojciech Samek

ACML 2016 Localized Multiple Kernel Learning—A Convex Approach Yunwen Lei, Alexander Binder, Urun Dogan, Marius Kloft

JMLR 2016 The LRP Toolbox for Artificial Neural Networks Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

NeurIPS 2015 Multi-Class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms Yunwen Lei, Urun Dogan, Alexander Binder, Marius Kloft

AISTATS 2014 Learning and Evaluation in Presence of Non-I.i.d. Label Noise Nico Görnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Müller, Marius Kloft

MLOSS 2010 The SHOGUN Machine Learning Toolbox Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio de Bona, Alexander Binder, Christian Gehl, Vojtěch Franc