human-analysis / MaxEnt-ARLLinks
PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
☆28Updated 6 years ago
Alternatives and similar repositories for MaxEnt-ARL
Users that are interested in MaxEnt-ARL are comparing it to the libraries listed below
Sorting:
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- [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
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62Updated 2 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆144Updated 5 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 4 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 3 years ago
- Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, N…☆75Updated last year
- ☆25Updated 4 years ago
- Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019☆38Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆47Updated 4 years ago
- A PyTorch Implementation of a Large Margin Deep Networks for Classification☆23Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆112Updated 5 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Updated 5 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆52Updated 5 years ago
- ☆20Updated 6 years ago
- Code for NeurIPS 2019 Paper☆48Updated 5 years ago
- Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (IC…☆38Updated 5 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆96Updated 6 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆118Updated 4 years ago
- ☆45Updated 3 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated 2 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆130Updated 4 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆82Updated 4 years ago
- REPresentAtion bIas Removal (REPAIR) of datasets☆56Updated 2 years ago