Liuhong99 / EAMLView external linksLinks
Code Release for Learning to Adapt to Evolving Domains
☆31Jul 21, 2021Updated 4 years ago
Alternatives and similar repositories for EAML
Users that are interested in EAML are comparing it to the libraries listed below
Sorting:
- ☆37Apr 16, 2021Updated 4 years ago
- ☆16Oct 5, 2021Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Jun 10, 2021Updated 4 years ago
- The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)☆22Feb 3, 2022Updated 4 years ago
- code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"☆43May 23, 2023Updated 2 years ago
- Explanation Optimization☆13Oct 16, 2020Updated 5 years ago
- ☆11Mar 13, 2023Updated 2 years ago
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Jun 27, 2020Updated 5 years ago
- ☆13Jul 26, 2023Updated 2 years ago
- ☆30Aug 8, 2021Updated 4 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆73Feb 14, 2022Updated 3 years ago
- ☆12Oct 28, 2022Updated 3 years ago
- PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".☆14Dec 22, 2021Updated 4 years ago
- "Learning Stable Classifiers by Transferring Unstable Features" ICML 2022☆14Jul 24, 2022Updated 3 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Jul 10, 2021Updated 4 years ago
- [ICML 2022] Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder☆24Feb 25, 2024Updated last year
- Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)☆141Sep 19, 2021Updated 4 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆13Oct 13, 2021Updated 4 years ago
- ☆11Aug 2, 2022Updated 3 years ago
- Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time…☆10Nov 17, 2021Updated 4 years ago
- Accompanying code for our NeurIPS 2019 paper