| Image style transfer using convolutional neural networks LA Gatys, AS Ecker, M Bethge Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 6266 | 2016 |
| DeepLabCut: markerless pose estimation of user-defined body parts with deep learning A Mathis, P Mamidanna, KM Cury, T Abe, VN Murthy, MW Mathis, ... Nature neuroscience 21 (9), 1281-1289, 2018 | 3516 | 2018 |
| A neural algorithm of artistic style LA Gatys, AS Ecker, M Bethge arXiv preprint arXiv:1508.06576, 2015 | 3418 | 2015 |
| ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness R Geirhos, P Rubisch, C Michaelis, M Bethge, FA Wichmann, W Brendel arXiv preprint arXiv:1811.12231, 2018 | 2881 | 2018 |
| Shortcut learning in deep neural networks R Geirhos, JH Jacobsen, C Michaelis, R Zemel, W Brendel, M Bethge, ... Nature Machine Intelligence 2 (11), 665-673, 2020 | 1792 | 2020 |
| Texture synthesis using convolutional neural networks L Gatys, AS Ecker, M Bethge Advances in Neural Information Processing Systems, 262-270, 2015 | 1722 | 2015 |
| Decision-based adversarial attacks: Reliable attacks against black-box machine learning models W Brendel, J Rauber, M Bethge arXiv preprint arXiv:1712.04248, 2017 | 1500 | 2017 |
| A note on the evaluation of generative models L Theis, A Oord, M Bethge arXiv preprint arXiv:1511.01844, 2015 | 1279 | 2015 |
| Using DeepLabCut for 3D markerless pose estimation across species and behaviors T Nath, A Mathis, AC Chen, A Patel, M Bethge, MW Mathis Nature protocols 14 (7), 2152-2176, 2019 | 1064 | 2019 |
| The functional diversity of retinal ganglion cells in the mouse T Baden, P Berens, K Franke, M Román Rosón, M Bethge, T Euler Nature 529 (7586), 345-350, 2016 | 952 | 2016 |
| Decorrelated neuronal firing in cortical microcircuits AS Ecker, P Berens, GA Keliris, M Bethge, NK Logothetis, AS Tolias science 327 (5965), 584-587, 2010 | 709 | 2010 |
| Foolbox: A python toolbox to benchmark the robustness of machine learning models J Rauber, W Brendel, M Bethge arXiv preprint arXiv:1707.04131, 2017 | 682 | 2017 |
| Generalisation in humans and deep neural networks R Geirhos, CRM Temme, J Rauber, HH Schütt, M Bethge, FA Wichmann Advances in neural information processing systems 31, 2018 | 678 | 2018 |
| Approximating cnns with bag-of-local-features models works surprisingly well on imagenet W Brendel, M Bethge arXiv preprint arXiv:1904.00760, 2019 | 658 | 2019 |
| Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq CR Cadwell, A Palasantza, X Jiang, P Berens, Q Deng, M Yilmaz, ... Nature biotechnology 34 (2), 199-203, 2016 | 543 | 2016 |
| Controlling perceptual factors in neural style transfer LA Gatys, AS Ecker, M Bethge, A Hertzmann, E Shechtman Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 534 | 2017 |
| Deep gaze i: Boosting saliency prediction with feature maps trained on imagenet M Kümmerer, L Theis, M Bethge arXiv preprint arXiv:1411.1045, 2014 | 500 | 2014 |
| Benchmarking robustness in object detection: Autonomous driving when winter is coming C Michaelis, B Mitzkus, R Geirhos, E Rusak, O Bringmann, AS Ecker, ... arXiv preprint arXiv:1907.07484, 2019 | 445 | 2019 |
| Towards the first adversarially robust neural network model on MNIST L Schott, J Rauber, M Bethge, W Brendel arXiv preprint arXiv:1805.09190, 2018 | 431 | 2018 |
| Improving robustness against common corruptions by covariate shift adaptation S Schneider, E Rusak, L Eck, O Bringmann, W Brendel, M Bethge Advances in Neural Information Processing Systems 33, 2020 | 419 | 2020 |
Alexander S. EckerUniversity of Göttingen, Germany在 cs.uni-goettingen.de 的电子邮件经过验证
