LJSthu / HRMLinks
The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.
☆25Updated 3 years ago
Alternatives and similar repositories for HRM
Users that are interested in HRM are comparing it to the libraries listed below
Sorting:
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated 2 years ago
- ☆49Updated 2 years ago
- This is the project for IRM methods☆13Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- ☆44Updated 3 months ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆13Updated 3 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'☆43Updated last year
- ☆12Updated 2 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆38Updated last year
- ☆26Updated 2 years ago
- The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"☆24Updated last year
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆53Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆118Updated 2 years ago
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Updated 2 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆37Updated last year
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆28Updated 6 months ago
- ☆27Updated 2 years ago
- ☆46Updated 2 years ago