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Reward-Based 1-bit Compressed Federated Distillation on Blockchain


Jun 27, 2021
Leon Witt, Usama Zafar, KuoYeh Shen, Felix Sattler, Dan Li, Wojciech Samek


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On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy


Jun 25, 2021
Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek


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Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy


Jun 24, 2021
Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin

* 10 pages, 3 figures 

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FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning


Feb 04, 2021
Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek


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FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons


Dec 17, 2020
Simon Wiedemann, Suhas Shivapakash, Pablo Wiedemann, Daniel Becking, Wojciech Samek, Friedel Gerfers, Thomas Wiegand


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Communication-Efficient Federated Distillation


Dec 01, 2020
Felix Sattler, Arturo Marban, Roman Rischke, Wojciech Samek


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A Unifying Review of Deep and Shallow Anomaly Detection


Sep 28, 2020
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller

* 36 pages, preprint; references added 

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Langevin Cooling for Domain Translation


Aug 31, 2020
Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima


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Explanation-Guided Training for Cross-Domain Few-Shot Classification


Jul 17, 2020
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder


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MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures


Jun 14, 2020
Saul Calderon-Ramirez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello

* The first two authors made equal contribution 

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Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL


Apr 28, 2020
Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek

* 12 pages, 8 figures 

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Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements


Apr 22, 2020
Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand


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Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution


Apr 22, 2020
Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder

* 8 pages, 3 figures 

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Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training


Apr 16, 2020
Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek


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Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)


Apr 02, 2020
Arturo Marban, Daniel Becking, Simon Wiedemann, Wojciech Samek

* Under review. Code is available at https://github.com/d-becking/efficientCNNs 

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Interval Neural Networks as Instability Detectors for Image Reconstructions


Mar 27, 2020
Jan Macdonald, Maximilian März, Luis Oala, Wojciech Samek

* JM, MM and LO contributed equally 

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Interval Neural Networks: Uncertainty Scores


Mar 25, 2020
Luis Oala, Cosmas Heiß, Jan Macdonald, Maximilian März, Wojciech Samek, Gitta Kutyniok

* LO and CH contributed equally 

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Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond


Mar 17, 2020
Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller

* 24 pages, 18 figures 

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Towards Ground Truth Evaluation of Visual Explanations


Mar 16, 2020
Ahmed Osman, Leila Arras, Wojciech Samek

* 17 pages, 4 tables, 3 figures (plus appendix 9 pages) 

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Trends and Advancements in Deep Neural Network Communication


Mar 06, 2020
Felix Sattler, Thomas Wiegand, Wojciech Samek


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Understanding Image Captioning Models beyond Visualizing Attention


Jan 22, 2020
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder


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Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed


Dec 22, 2019
Christopher J. Anders, Talmaj Marinč, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin

* 16 pages, 14 figures 

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Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning


Dec 18, 2019
Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek

* 24 pages, 8 figures 

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On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence


Dec 16, 2019
Fabian Horst, Djordje Slijepcevic, Sebastian Lapuschkin, Anna-Maria Raberger, Matthias Zeppelzauer, Wojciech Samek, Christian Breiteneder, Wolfgang I. Schöllhorn, Brian Horsak

* 35 pages, 6 figures, 2 tables, 24 supplementary figures 

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Asymptotically Unbiased Generative Neural Sampling


Oct 29, 2019
Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel

* 5 figures 

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Towards best practice in explaining neural network decisions with LRP


Oct 22, 2019
Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin

* 5 pages, 3 figures, 1 table 

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Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints


Oct 04, 2019
Felix Sattler, Klaus-Robert Müller, Wojciech Samek


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Towards Explainable Artificial Intelligence


Sep 26, 2019
Wojciech Samek, Klaus-Robert Müller

* 19 pages 

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