Alert button
Picture for Wojciech Samek

Wojciech Samek

Alert button

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

Figure 1 for A Unifying Review of Deep and Shallow Anomaly Detection
Figure 2 for A Unifying Review of Deep and Shallow Anomaly Detection
Figure 3 for A Unifying Review of Deep and Shallow Anomaly Detection
Figure 4 for A Unifying Review of Deep and Shallow Anomaly Detection
Viaarxiv icon

Langevin Cooling for Domain Translation

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

Figure 1 for Langevin Cooling for Domain Translation
Figure 2 for Langevin Cooling for Domain Translation
Figure 3 for Langevin Cooling for Domain Translation
Figure 4 for Langevin Cooling for Domain Translation
Viaarxiv icon

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

Figure 1 for Explanation-Guided Training for Cross-Domain Few-Shot Classification
Figure 2 for Explanation-Guided Training for Cross-Domain Few-Shot Classification
Figure 3 for Explanation-Guided Training for Cross-Domain Few-Shot Classification
Figure 4 for Explanation-Guided Training for Cross-Domain Few-Shot Classification
Viaarxiv icon

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

Figure 1 for MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
Figure 2 for MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
Figure 3 for MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
Figure 4 for MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
Viaarxiv icon

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

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

Figure 1 for Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Figure 2 for Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Figure 3 for Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Figure 4 for Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Viaarxiv icon

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

Figure 1 for Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements
Figure 2 for Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements
Figure 3 for Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements
Figure 4 for Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements
Viaarxiv icon

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

Figure 1 for Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Figure 2 for Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Figure 3 for Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Figure 4 for Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Viaarxiv icon

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

Figure 1 for Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
Figure 2 for Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
Figure 3 for Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
Figure 4 for Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
Viaarxiv icon

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

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

Figure 1 for Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
Figure 2 for Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
Figure 3 for Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
Figure 4 for Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
Viaarxiv icon