DJjjjhao / MarginGANLinks
This repository is the replication package of the NeurIPS19 paper "MarginGAN: Adversarial Training in Semi-Supervised Learning"
☆12Updated 6 years ago
Alternatives and similar repositories for MarginGAN
Users that are interested in MarginGAN are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 4 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆47Updated 4 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 5 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.☆35Updated 5 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆116Updated 4 years ago
- 🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.☆105Updated 6 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- ☆107Updated 4 years ago
- [CVPR 2020] Code for paper "AdversarialNAS: Adversarial Neural Architecture Search for GANs".☆72Updated 2 years ago
- [ECCV 2018] Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study☆40Updated 3 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 7 years ago
- [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation☆54Updated 3 months ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆79Updated 5 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 6 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 5 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 4 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81Updated 6 years ago
- Codes for our ICLR2020 paper: Knowledge Consistency between Neural Networks and Beyond☆16Updated 6 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆39Updated 7 years ago
- The project page of paper: Information Competing Process for Learning Diversified Representations [NeurIPS 2019]