tolgabirdal / PHDimGeneralizationLinks
Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.
☆33Updated 10 months ago
Alternatives and similar repositories for PHDimGeneralization
Users that are interested in PHDimGeneralization are comparing it to the libraries listed below
Sorting:
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆50Updated 4 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆72Updated last year
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- Code for Neural Manifold Clustering and Embedding☆62Updated 3 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆119Updated 5 years ago
- The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…☆64Updated 3 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 4 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 4 years ago
- ☆41Updated 5 years ago
- Weighted Training for Cross-Task Learning☆15Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Papers and Codes for the deep learning in hyperbolic space☆187Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- ☆42Updated 5 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- ☆24Updated 4 years ago
- Code for paper Fully Hyperbolic Neural Networks☆87Updated 3 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- CO-Optimal Transport☆42Updated 5 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆33Updated 3 years ago
- ☆37Updated 5 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- ☆22Updated 3 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 7 years ago
- implements optimal transport algorithms in pytorch☆104Updated 3 years ago