avirmaux / lipEstimation
☆58Updated 2 years ago
Alternatives and similar repositories for lipEstimation
Users that are interested in lipEstimation are comparing it to the libraries listed below
Sorting:
- ☆90Updated 3 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆60Updated 4 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 6 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 5 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 3 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆56Updated 4 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆67Updated 3 years ago
- PyTorch implementation of FIM and empirical FIM☆60Updated 6 years ago
- ☆122Updated 11 months ago
- NTK reading group☆88Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- ☆87Updated 9 months ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆40Updated 6 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 4 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆142Updated last year
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆31Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆49Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆23Updated 2 years ago
- ☆66Updated 6 years ago
- ☆55Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago