jcpeterson / cifar-10hLinks
Original dataset release for CIFAR-10H
☆83Updated 4 years ago
Alternatives and similar repositories for cifar-10h
Users that are interested in cifar-10h are comparing it to the libraries listed below
Sorting:
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆41Updated last year
- ☆141Updated 4 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆98Updated 3 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆111Updated 5 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 3 years ago
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆38Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- ☆111Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆89Updated 5 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Updated last year
- ☆66Updated 5 years ago
- ☆51Updated 4 years ago
- ☆74Updated 5 years ago
- ☆34Updated 3 years ago
- A new test set for ImageNet☆255Updated 2 years ago
- ☆62Updated 4 years ago
- ☆55Updated 4 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆176Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Adversarially Robust Neural Network on MNIST.☆64Updated 3 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- ☆107Updated last year
- ☆175Updated 11 months ago
- NumPy library for calibration metrics☆73Updated 4 months ago
- Distributionally robust neural networks for group shifts☆269Updated 2 years ago
- A PyTorch converter for SimCLR checkpoints☆108Updated 4 years ago