namratadeka / circeLinks
Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
☆21Updated 3 years ago
Alternatives and similar repositories for circe
Users that are interested in circe are comparing it to the libraries listed below
Sorting:
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆63Updated 3 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆26Updated 2 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- VAEs and nonlinear ICA: a unifying framework☆49Updated 6 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆42Updated 2 years ago
- ☆29Updated 7 months ago
- Code for Diff-SCM paper☆99Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- ☆22Updated 4 years ago
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- ☆35Updated last year
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆49Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Diffusion Models for Causal Discovery☆90Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Deep Learning & Information Bottleneck☆62Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- ☆110Updated 3 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Updated 2 months ago
- ☆14Updated 5 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆59Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- ☆46Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- Papers and Codes for the deep learning in hyperbolic space☆185Updated 3 years ago
- Optimal Transport Dataset Distance☆173Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago