locuslab / orthogonal-convolutionsLinks
Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
☆47Updated 4 years ago
Alternatives and similar repositories for orthogonal-convolutions
Users that are interested in orthogonal-convolutions are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆71Updated last year
- ☆60Updated 2 years ago
- ☆28Updated 2 years ago
- ☆37Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- ☆30Updated 4 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆57Updated 5 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- ☆38Updated 4 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆40Updated 4 years ago
- ☆18Updated 2 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- Last-layer Laplace approximation code examples☆84Updated 3 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- ☆54Updated last year
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- ☆58Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- Spectral Tensor Train Parameterization of Deep Learning Layers☆15Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago