TjuJianyu / RFCView external linksLinks
☆12Jul 17, 2023Updated 2 years ago
Alternatives and similar repositories for RFC
Users that are interested in RFC are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89May 25, 2022Updated 3 years ago
- ☆44Oct 30, 2025Updated 3 months ago
- ☆23Jun 15, 2022Updated 3 years ago
- ☆48Jan 17, 2023Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Jan 31, 2023Updated 3 years ago
- Code and results accompanying our paper titled Leveraging Unlabeled Data to Predict Out-of-Distribution Performance at ICLR 2022☆10Dec 8, 2022Updated 3 years ago
- ☆11Mar 20, 2023Updated 2 years ago
- ☆31Oct 13, 2021Updated 4 years ago
- LISA for ICML 2022☆52Apr 12, 2023Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29May 27, 2025Updated 8 months ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆33Nov 10, 2023Updated 2 years ago
- New structural distributional shifts for evaluating graph models☆15Oct 25, 2023Updated 2 years ago
- ☆17Jun 20, 2024Updated last year
- Recycling diverse models☆46Jan 18, 2023Updated 3 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 4 years ago
- Predicting Out-of-Distribution Error with the Projection Norm☆19Jul 27, 2022Updated 3 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Jul 18, 2023Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Jul 29, 2023Updated 2 years ago
- ☆26Apr 11, 2023Updated 2 years ago
- PAC-Bayes generalization certificates for ICP☆21Nov 16, 2023Updated 2 years ago
- Invariant-feature Subspace Recovery (ISR)☆23Sep 23, 2022Updated 3 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Jun 20, 2023Updated 2 years ago
- Official implementation of the RegMixup paper☆20Nov 30, 2022Updated 3 years ago
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Apr 18, 2023Updated 2 years ago
- ☆49Nov 1, 2022Updated 3 years ago
- Not All Poisons are Created Equal: Robust Training against Data Poisoning (ICML 2022)☆22Aug 8, 2022Updated 3 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Nov 30, 2022Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Apr 12, 2024Updated last year
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Jan 12, 2022Updated 4 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆23Nov 10, 2023Updated 2 years ago
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆31Apr 15, 2023Updated 2 years ago
- ☆29Jan 16, 2023Updated 3 years ago
- An Interpretable Self-Attention Network with block-attention and attention-attribution.☆12Sep 22, 2023Updated 2 years ago
- ☆111Sep 20, 2023Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Apr 9, 2021Updated 4 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Oct 22, 2023Updated 2 years ago
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆70Aug 15, 2022Updated 3 years ago
- ☆63Sep 29, 2020Updated 5 years ago