☆58Aug 14, 2020Updated 6 years ago
Alternatives and similar repositories for BREEDS-Benchmarks
Users that are interested in BREEDS-Benchmarks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆37Jun 10, 2021Updated 5 years ago
- Numerical Experiments☆15Jan 21, 2018Updated 8 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97May 25, 2023Updated 3 years ago
- Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"☆103Jul 25, 2024Updated 2 years ago
- Official repository for "Stylized Adversarial Training" (TPAMI 2022)☆11Dec 30, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆25May 20, 2020Updated 6 years ago
- Distributionally robust neural networks for group shifts☆298Jan 3, 2023Updated 3 years ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆18Sep 9, 2022Updated 4 years ago
- Repository for reproducing `Model-Based Robust Deep Learning`☆17Jan 22, 2021Updated 5 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Aug 15, 2023Updated 3 years ago
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 6 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆602Jan 26, 2024Updated 2 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆41Nov 17, 2020Updated 5 years ago
- Post-processing for fair classification☆16Jun 30, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆11Sep 20, 2019Updated 7 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Mar 1, 2022Updated 4 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Aug 5, 2023Updated 3 years ago
- Host CIFAR-10.2 Data Set☆13Sep 22, 2021Updated 4 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Aug 8, 2019Updated 7 years ago
- Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability (CVPR 2023)☆10Mar 14, 2023Updated 3 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Jul 12, 2020Updated 6 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆90Mar 24, 2023Updated 3 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Mar 3, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Jul 19, 2023Updated 3 years ago
- ☆15Jul 23, 2020Updated 6 years ago
- ☆18Jul 27, 2018Updated 8 years ago
- Learning perturbation sets for robust machine learning☆66Aug 23, 2021Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆52Jun 10, 2021Updated 5 years ago
- ☆13Jul 8, 2023Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 3 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆164Mar 19, 2020Updated 6 years ago
- Code for generating adversarial color-shifted images☆20Nov 11, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆13Jul 19, 2022Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Mar 30, 2020Updated 6 years ago
- The Search for Sparse, Robustness Neural Networks☆11Mar 24, 2023Updated 3 years ago
- ☆18Oct 29, 2022Updated 3 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Feb 12, 2020Updated 6 years ago
- Python library for argument and configuration management☆57Feb 7, 2023Updated 3 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Jun 14, 2021Updated 5 years ago