nktoan / Causal-Inference-via-Style-Transfer-for-OOD-GeneralisationLinks
[KDD 2023] Causal Inference via Style Transfer for Out-of-distribution Generalisation
☆25Updated last year
Alternatives and similar repositories for Causal-Inference-via-Style-Transfer-for-OOD-Generalisation
Users that are interested in Causal-Inference-via-Style-Transfer-for-OOD-Generalisation are comparing it to the libraries listed below
Sorting:
- [WACV 2024] Domain Generalisation via Risk Distribution Matching☆20Updated last year
- Causal Discovery via Bayesian Optimization (DrBO) - ICLR 2025☆23Updated 5 months ago
- ☆13Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆98Updated 2 years ago
- MLTI for ICLR 2022☆30Updated 3 years ago
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆69Updated last month
- some bravo or inspiring research works on the topic of curriculum learning☆241Updated 3 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆53Updated 3 years ago
- ☆33Updated last year
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆62Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time…☆10Updated 3 years ago
- The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"☆24Updated last year
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆61Updated 4 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆62Updated 2 years ago
- Official Repository for ICML 2024 Paper "OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport"☆17Updated last year
- Official PyTorch implementation for Label-Noise Robust Diffusion Models (TDSM) in ICLR 2024.☆14Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆144Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆26Updated 2 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆50Updated 2 years ago
- Analysis of evidential models☆14Updated 2 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆25Updated last year
- ☆27Updated 5 months ago
- Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'☆43Updated last year