avirmaux / lipEstimation
☆57Updated last year
Related projects ⓘ
Alternatives and complementary repositories for lipEstimation
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆55Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆60Updated 3 years ago
- ☆119Updated 5 months ago
- ☆87Updated 2 years ago
- ☆66Updated 5 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago
- A Closer Look at Accuracy vs. Robustness☆87Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆61Updated last year
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated last year
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 5 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 3 years ago
- Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint☆28Updated 2 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 3 years ago
- Geometric Certifications of Neural Nets☆41Updated last year
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆46Updated 3 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆62Updated 2 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated 9 months ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆36Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆73Updated 4 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆21Updated 5 years ago
- ☆55Updated 4 years ago
- ☆86Updated 3 months ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 5 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆65Updated 6 months ago
- Convolutional Neural Tangent Kernel☆107Updated 5 years ago