Hesse, Robin
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods
2023/08/11 by Robin Hesse, Simone Schaub-Meyer, Hesse, Robin +3 · 7 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Fast Axiomatic Attribution for Neural Networks
2021/11/15 by Hesse, Robin, Schaub-Meyer, Simone, Roth, Stefan · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Disentangling Polysemantic Channels in Convolutional Neural Networks
2025/04/17 by Robin Hesse, Hesse, Robin, Jonas Fischer +5 · 1 voice · 3 citations
#cs.CV #cs.LG
- Content-Adaptive Downsampling in Convolutional Neural Networks
2023/05/16 by Hesse, Robin, Schaub-Meyer, Simone, Roth, Stefan · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Benchmarking the Attribution Quality of Vision Models
2024/07/16 by Robin Hesse, Hesse, Robin, Simone Schaub-Meyer +3 · 1 voice · 1 citation
#cs.CV #cs.LG
- Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
2025/03/21 by Robin Hesse, Doğukan Bağcı, Hesse, Robin +7 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Image and Video Quality Assessment
- Continual Learning Should Move Beyond Incremental Classification
2025/02/17 by Rupert Mitchell, Antonio Alliegro, Mitchell, Rupert +40 · 1 voice · 1 citation
Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification