shivamsaboo17 / ManifoldMixupLinks
ManifoldMixup with support for Interpolated Adversarial training
☆17Updated 5 years ago
Alternatives and similar repositories for ManifoldMixup
Users that are interested in ManifoldMixup are comparing it to the libraries listed below
Sorting:
- Computing various norms/measures on over-parametrized neural networks☆50Updated 6 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆61Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆12Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Updated last year
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- pytorch implementation of SOSELETO☆15Updated 6 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆128Updated 6 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Updated 5 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Updated 5 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆54Updated 6 months ago
- ☆34Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018☆67Updated 4 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 5 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆64Updated 4 years ago