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Reimplementing cool papers in PyTorch...

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Cool stuffs with Neural Networks

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…
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