ansuini / IntrinsicDimDeep
Code for the intrinsic dimensionality estimate of data representations
☆77Updated 4 years ago
Alternatives and similar repositories for IntrinsicDimDeep:
Users that are interested in IntrinsicDimDeep are comparing it to the libraries listed below
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆65Updated 9 months ago
- ☆34Updated 3 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆95Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆57Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- ☆98Updated 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 …☆39Updated 4 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- ☆55Updated 4 years ago
- ☆107Updated last year
- Codebase for Learning Invariances in Neural Networks☆93Updated 2 years ago
- A way to achieve uniform confidence far away from the training data.☆37Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- ☆57Updated last year
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- ☆35Updated last year
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- ☆63Updated 5 years ago
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- ☆58Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆117Updated 3 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated last year
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- ☆53Updated 6 months ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago