An Investigation of Why Overparameterization Exacerbates Spurious Correlations
☆30Jul 12, 2020Updated 5 years ago
Alternatives and similar repositories for overparam_spur_corr
Users that are interested in overparam_spur_corr are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72May 18, 2024Updated last year
- ☆13Jan 30, 2021Updated 5 years ago
- Code for testing DCT plus Sparse (DCTpS) networks☆14Jun 15, 2021Updated 4 years ago
- Distributionally robust neural networks for group shifts☆295Jan 3, 2023Updated 3 years ago
- Post-processing for fair classification☆16Jun 30, 2025Updated 9 months ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Demonstrates failures of bias mitigation methods under varying types/levels of biases (WACV 2021)☆26Mar 31, 2024Updated last year
- ☆34Nov 30, 2018Updated 7 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Jan 31, 2023Updated 3 years ago
- ☆15Nov 6, 2022Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Jan 10, 2021Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Jun 10, 2021Updated 4 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Jun 5, 2022Updated 3 years ago
- Predicting Out-of-Distribution Error with the Projection Norm☆19Jul 27, 2022Updated 3 years ago
- ☆11Oct 5, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- ☆31Oct 7, 2020Updated 5 years ago
- ☆56Aug 14, 2020Updated 5 years ago
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16May 4, 2023Updated 2 years ago
- ☆18Jun 20, 2024Updated last year
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆49Dec 30, 2021Updated 4 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Jul 25, 2024Updated last year
- Invariant-feature Subspace Recovery (ISR)☆23Sep 23, 2022Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Jul 10, 2021Updated 4 years ago
- Source code for "When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian …☆10May 30, 2021Updated 4 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.
- Recycling diverse models☆46Jan 18, 2023Updated 3 years ago
- Input Similarity from the Neural Network Perspective☆26Oct 28, 2020Updated 5 years ago
- Debiasing Through Data Attribution☆13May 23, 2024Updated last year
- Change-point detection using neural networks☆21Dec 6, 2023Updated 2 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Mar 24, 2023Updated 3 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆42Jan 21, 2024Updated 2 years ago
- ☆34Aug 30, 2021Updated 4 years ago
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆24Feb 26, 2022Updated 4 years ago
- NAACL 2022 Findings☆15May 4, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code repo for the NeurIPS 2021 paper "Online Adaption to Label Distribution Shift".☆15Feb 15, 2023Updated 3 years ago
- ☆37Apr 16, 2021Updated 4 years ago
- ☆34Mar 13, 2021Updated 5 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- ☆37Jun 10, 2021Updated 4 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆595Jan 26, 2024Updated 2 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