MinaGhadimiAtigh / hyperbolic_representation_learningLinks
The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
☆66Updated 3 years ago
Alternatives and similar repositories for hyperbolic_representation_learning
Users that are interested in hyperbolic_representation_learning are comparing it to the libraries listed below
Sorting:
- Papers and Codes for the deep learning in hyperbolic space☆187Updated 3 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 4 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆62Updated 3 years ago
- An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.☆177Updated last year
- Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…☆28Updated 4 years ago
- Implementation of Multi-View Information Bottleneck☆136Updated 5 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆36Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆50Updated 3 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 4 years ago
- Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.☆33Updated 10 months ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- ☆41Updated 5 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Package for working with hypernetworks in PyTorch.☆132Updated 2 years ago
- Differentiable Top-k Classification Learning☆92Updated 3 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
- ☆33Updated 3 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆119Updated 5 years ago
- ☆57Updated 4 years ago
- Robust Optimal Transport code☆44Updated 3 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆30Updated 2 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆53Updated 4 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆45Updated 2 years ago
- Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)☆36Updated 3 years ago