nktoan / Causal-Inference-via-Style-Transfer-for-OOD-Generalisation
This repository contains the codebase for our accepted paper in the Research Track of KDD'23, titled 'Causal-Inference-via-Style-Transfer-for-OOD-Generalisation'.
☆23Updated 10 months ago
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
- This repository contains the codebase for our accepted paper in the Research Track of WACV'24, titled 'Domain Generalization via Risk Dis…☆16Updated 3 months ago
- A curated list of papers and resources about the distribution shift in machine learning.☆107Updated last year
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆88Updated last year
- ☆9Updated 3 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated last year
- MLTI for ICLR 2022☆30Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆15Updated 2 years ago
- ☆42Updated 2 years ago
- ☆15Updated last year
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Updated 7 months ago
- ☆28Updated 11 months ago
- From Implicit to Explicit Feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online us…☆0Updated 10 months ago
- Distributional Sliced-Wasserstein distance code☆49Updated 5 months ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated last year
- ☆24Updated last year
- Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.☆71Updated 4 years ago
- Code for "A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications"☆16Updated 5 months ago
- Top-tier conference papers on out-of-distribution detection☆10Updated last year
- Analysis of evidential models☆11Updated last year
- ☆40Updated 5 years ago
- Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https:…☆15Updated last year
- Global-Local Attention for Emotion Recognition☆20Updated 4 years ago
- A Pytorch implementation of MAML☆49Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆104Updated last year
- An awesome collection of causality-inspired graph neural networks.☆55Updated last month
- Contrastive Variational Autoencoders☆62Updated 5 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated 9 months ago