Made in PyTorch.
- Intriguing properties of neural networks
- Explaining and Harnessing Adversarial Examples (ICLR '15)
- Distilling the Knowledge in a Neural Network (NIPS '14)
- U-Net: Convolutional Networks for Biomedical Image Segmentation (MICCAI '15)
- Highway Networks (ICML'15)
- Local Binary Convolutional Neural Networks (CVPR '17)
- Adversarial Discriminative Domain Adaptation (CVPR '17)
- Adversarial Reprogramming of Neural Networks (ICLR'19)
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (pre-print)
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization (ICCV'17)
- more soon…