2.8k citations · 13.3k across the 90 of their papers we have counts for
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Explanation-Guided Training for Cross-Domain Few-Shot Classification
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek +3
Cross-domain few-shot classification task (CD-FSC) combines few-shot classification with the requirement to generalize across domains represented by datasets. This setup faces chal…
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber +2
Integrated Gradients as an attribution method for deep neural network models offers simple implementability. However, it suffers from noisiness of explanations which affects the ea…
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
Leila Arras, Ahmed Osman, Wojciech Samek
The rise of deep learning in today's applications entailed an increasing need in explaining the model's decisions beyond prediction performances in order to foster trust and accoun…
Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek +1
This paper analyzes the predictions of image captioning models with attention mechanisms beyond visualizing the attention itself. We develop variants of layer-wise relevance propag…