nitarshan / robust-generalization-measuresLinks
Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
☆28Updated 4 years ago
Alternatives and similar repositories for robust-generalization-measures
Users that are interested in robust-generalization-measures are comparing it to the libraries listed below
Sorting:
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- ☆37Updated last year
- ☆62Updated 4 years ago
- ☆55Updated 5 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- ☆38Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆46Updated 2 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆31Updated 5 years ago
- ☆18Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- The code for the NeurIPS19 paper and blog on "Uniform convergence may be unable to explain generalization in deep learning".☆10Updated 5 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- ☆20Updated 5 years ago
- ☆34Updated 4 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- ☆12Updated 5 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago