[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
☆29May 27, 2025Updated last year
Alternatives and similar repositories for FeAT
Users that are interested in FeAT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Apr 12, 2024Updated 2 years ago
- ☆12Jul 17, 2023Updated 2 years ago
- Codebase for the EMNLP 2021 paper "HittER: Hierarchical Transformers for Knowledge Graph Embeddings".☆12Nov 1, 2021Updated 4 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆49Jun 25, 2023Updated 2 years ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆23Aug 25, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"☆19Mar 26, 2020Updated 6 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Jul 7, 2023Updated 2 years ago
- ☆11Jun 20, 2023Updated 2 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- Applies ROME and MEMIT on Mamba-S4 models☆15Apr 5, 2024Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Jul 4, 2022Updated 3 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆16Jun 27, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Unsupervised Domain Adaptation on Graphs☆15Apr 6, 2022Updated 4 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Apr 18, 2023Updated 3 years ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆16Feb 27, 2025Updated last year
- [ICML 2024] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical☆13May 12, 2024Updated 2 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆47Nov 13, 2023Updated 2 years ago
- ☆32Oct 13, 2021Updated 4 years ago
- Experiments for "A Closer Look at In-Context Learning under Distribution Shifts"☆18May 29, 2023Updated 3 years ago
- 条件随机场（CRF）的pytorch实现☆10Mar 7, 2021Updated 5 years ago
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆16Feb 15, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation (CVPR24)☆10Jun 16, 2024Updated last year
- Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective☆11Nov 16, 2022Updated 3 years ago
- [ICLR 2025 Spotlight] Realistic Evaluation of Deep Partial-Label Learning Algorithms☆14Feb 2, 2025Updated last year
- Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS,…☆17Jan 13, 2022Updated 4 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Jul 29, 2023Updated 2 years ago
- ☆11Dec 1, 2020Updated 5 years ago
- An implementation of online data mixing for the Pile dataset, based on the GPT-NeoX library.☆14Jan 9, 2024Updated 2 years ago
- ☆27Jun 11, 2025Updated last year
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆26Oct 22, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆17Jun 1, 2021Updated 5 years ago
- The brain of my Screeps army!☆15Dec 6, 2022Updated 3 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Apr 7, 2022Updated 4 years ago
- Fast and Computationally efficient Continual Learning for NanoDet anchor-free Object Detector☆14Dec 16, 2024Updated last year
- Early Accepted in MICCAI 2023☆12Jul 11, 2023Updated 2 years ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- The code of paper "Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Lear…☆15Aug 28, 2025Updated 9 months ago