Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
☆52Jun 10, 2021Updated 5 years ago
Alternatives and similar repositories for eiil
Users that are interested in eiil are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch code to run synthetic experiments.☆437Sep 8, 2021Updated 4 years ago
- Distributionally robust neural networks for group shifts☆294Jan 3, 2023Updated 3 years ago
- ☆15Nov 6, 2022Updated 3 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Oct 23, 2021Updated 4 years ago
- [ICLR2024] (EvALign-ICL Benchmark) Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context …☆22Mar 1, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆46Feb 16, 2022Updated 4 years ago
- ☆32Oct 13, 2021Updated 4 years ago
- Tensorflow implementation of Invariant Rationalization☆50Feb 16, 2023Updated 3 years ago
- ☆110Sep 20, 2023Updated 2 years ago
- ☆24Apr 29, 2024Updated 2 years ago
- ☆21Apr 10, 2023Updated 3 years ago
- DomainBed is a suite to test domain generalization algorithms☆1,630Dec 16, 2025Updated 7 months ago
- Code Release for Learning to Adapt to Evolving Domains☆32Jul 21, 2021Updated 5 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Jun 6, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Jul 12, 2020Updated 6 years ago
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Jun 25, 2022Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72May 18, 2024Updated 2 years ago
- Invariant Feature Regularization for Fair Face Recognition (ICCV'23)☆15Oct 23, 2023Updated 2 years ago
- ☆37Jun 10, 2021Updated 5 years ago
- An Empirical Study of Invariant Risk Minimization☆27Jul 6, 2020Updated 6 years ago
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆46Nov 17, 2025Updated 8 months ago
- ☆36Oct 3, 2023Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆93Oct 22, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆42Jan 21, 2024Updated 2 years ago
- All about domain generalization☆845Feb 25, 2025Updated last year
- Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting☆11Mar 24, 2023Updated 3 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Oct 3, 2023Updated 2 years ago
- ☆58Aug 14, 2020Updated 5 years ago
- [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"☆19Oct 12, 2022Updated 3 years ago
- [CVPR'22 Oral] Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization☆45Oct 30, 2025Updated 8 months ago
- Distilling Model Failures as Directions in Latent Space☆48Feb 8, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆24Feb 15, 2023Updated 3 years ago
- ☆49Nov 1, 2022Updated 3 years ago
- ☆47Feb 14, 2024Updated 2 years ago
- ☆30Nov 15, 2018Updated 7 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆22Jul 6, 2023Updated 3 years ago
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆35Nov 10, 2020Updated 5 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Apr 26, 2022Updated 4 years ago