Alternatives and similar repositories for MarginGAN

Users that are interested in MarginGAN are comparing it to the libraries listed below

• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 3 years ago
• PKUAI26 / AT-CNN
  Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
  ☆66Updated 5 years ago
• VITA-Group / Once-for-All-Adversarial-Training
  [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…
  ☆44Updated 3 years ago
• P2333 / Reverse-Cross-Entropy
  Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)
  ☆45Updated 4 years ago
• ducminhkhoi / InterpretableCNN
  ☆39Updated 7 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆38Updated 6 years ago
• leftthomas / GradCAM
  A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Local…
  ☆59Updated 7 years ago
• tingxueronghua / pytorch-classification-advprop
  ☆108Updated 3 years ago
• bfshi / InfoDrop
  Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)
  ☆125Updated 2 years ago
• a1600012888 / clsa_pytorch
  Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
  ☆32Updated 4 years ago
• henry8527 / GCE
  [ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy
  ☆40Updated 5 years ago
• hujiecpp / InformationCompetingProcess
  The project page of paper: Information Competing Process for Learning Diversified Representations [NeurIPS 2019]
  ☆18Updated 5 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 4 years ago
• chengaopro / AdversarialNAS
  [CVPR 2020] Code for paper "AdversarialNAS: Adversarial Neural Architecture Search for GANs".
  ☆71Updated last year
• P2333 / Max-Mahalanobis-Training
  Max Mahalanobis Training (ICML 2018 + ICLR 2020)
  ☆90Updated 4 years ago
• VITA-Group / Adversarial-Contrastive-Learning
  [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
  ☆114Updated 3 years ago
• bhheo / BSS_distillation
  Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
  ☆71Updated 5 years ago
• njulus / REFILLED
  This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".
  ☆49Updated 4 years ago
• cuishuhao / HDA
  codes for Heuristic Domain Adaptation (NeurIPS2020)
  ☆57Updated 4 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• ceciliaresearch / MixedExample
  ☆17Updated 6 years ago
• thuml / Transferable-Adversarial-Training
  Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)
  ☆81Updated 6 years ago
• Lan1991Xu / ONE_NeurIPS2018
  ☆61Updated 5 years ago
• dddzg / MoCo
  A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"
  ☆43Updated 5 years ago
• zqs1022 / explanatoryGraph
  Interpreting CNN Knowledge via an Explanatory Graph
  ☆70Updated 4 years ago
• yulu0724 / EmbeddingDistillation
  Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)
  ☆76Updated 6 years ago
• FreeformRobotics / Divide-and-Co-training
  [TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, …
  ☆105Updated 2 years ago
• hyliang96 / CSGCNN
  code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"
  ☆28Updated this week
• takuhirok / rGAN
  rGAN: Label-Noise Robust Generative Adversarial Networks
  ☆97Updated 4 years ago
• ethanygao / NDDR-CNN
  [CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
  ☆54Updated 5 years ago