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Jindong Gu
Jindong Gu
Geverifieerd e-mailadres voor campus.lmu.de - Homepage
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Understanding individual decisions of cnns via contrastive backpropagation
J Gu, Y Yang, V Tresp
Proceedings of the Asian Conference on Computer Vision (ACCV), 119-134, 2018
632018
Improving the Robustness of Capsule Networks to Image Affine Transformations
J Gu, V Tresp
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2019
212019
Saliency methods for explaining adversarial attacks
J Gu, V Tresp
Workshop on Human-Centric Machine Learning, NeurIPS 2019, 2019
182019
Search for better students to learn distilled knowledge
J Gu, V Tresp
European Conference on Artificial Intelligence (ECAI), 2020, 2020
152020
Interpretable Graph Capsule Networks for Object Recognition
J Gu, V Tresp
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021, 2020
92020
Understanding bias in machine learning
J Gu, D Oelke
Workshop on Visualization for AI Explainability, IEEE Vis 2018, 2019
92019
Semantics for global and local interpretation of deep neural networks
J Gu, V Tresp
International Joint Conference on Neural Networks, 1-8, 2019
82019
Capsule Network is Not More Robust than Convolutional Network
J Gu, V Tresp, H Hu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021
62021
Effective and Efficient Vote Attack on Capsule Networks
J Gu, B Wu, V Tresp
International Conference on Learning Representations (ICLR), 2021, 2021
62021
Attacking Adversarial Attacks as A Defense
B Wu, H Pan, L Shen, J Gu, S Zhao, Z Li, D Cai, X He, W Liu
arXiv preprint arXiv:2106.04938, 2021
52021
Contextual prediction difference analysis for explaining individual image classifications
J Gu, V Tresp
arXiv preprint arXiv:1910.09086, 2019
52019
Are Vision Transformers Robust to Patch Perturbations?
J Gu, V Tresp, Y Qin
arXiv preprint arXiv:2111.10659, 2021
42021
Neural Network Memorization Dissection
J Gu, V Tresp
Workshop on Machine Learning with Guarantees, NeurIPS 2019, 2019
42019
Adversarial Examples on Segmentation Models Can be Easy to Transfer
J Gu, H Zhao, V Tresp, P Torr
arXiv preprint arXiv:2111.11368, 2021
12021
Simple Distillation Baselines for Improving Small Self-supervised Models
J Gu, W Liu, Y Tian
Workshop on SSL for Autonomous Driving, ICCV 2021, 2021
12021
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Artikelen 1–15