The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)
☆42Jan 21, 2024Updated 2 years ago
Alternatives and similar repositories for simplicitybiaspitfalls
Users that are interested in simplicitybiaspitfalls are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Nov 6, 2022Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Oct 25, 2022Updated 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
- Demonstrates failures of bias mitigation methods under varying types/levels of biases (WACV 2021)☆26Mar 31, 2024Updated 2 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆10Dec 17, 2019Updated 6 years ago
- Distributionally robust neural networks for group shifts☆298Jan 3, 2023Updated 3 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆93Oct 22, 2020Updated 5 years ago
- Implementation of paper "Do Wide and Deep Networks Learn the Same Things?"☆16Mar 15, 2022Updated 4 years ago
- ☆35Mar 13, 2021Updated 5 years ago
- ☆38Oct 21, 2022Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Jan 10, 2021Updated 5 years ago
- ☆112Sep 20, 2023Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆52Jun 10, 2021Updated 5 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.
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆45Oct 24, 2023Updated 2 years ago
- ☆144Oct 2, 2020Updated 5 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Feb 27, 2023Updated 3 years ago
- ☆13Mar 22, 2023Updated 3 years ago
- Training vision models with full-batch gradient descent and regularization☆39Feb 14, 2023Updated 3 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Nov 12, 2020Updated 5 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Jul 12, 2020Updated 6 years ago
- Debiasing Methods in Natural Language Understanding Make Bias More Accessible: Code and Data☆14Apr 24, 2022Updated 4 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆602Jan 26, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Codebase for Mechanistic Mode Connectivity☆13Jul 14, 2023Updated 3 years ago
- ☆16Jul 20, 2023Updated 3 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆35Apr 24, 2023Updated 3 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Oct 21, 2021Updated 4 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆17Jun 1, 2021Updated 5 years ago
- ☆11Jan 26, 2020Updated 6 years ago
- ☆58Aug 14, 2020Updated 6 years ago
- Source code for "Neural Anisotropy Directions"☆16Nov 17, 2020Updated 5 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72May 18, 2024Updated 2 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.
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆12Aug 5, 2020Updated 6 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Aug 3, 2022Updated 4 years ago
- MIT MIC Reading Groups☆17Apr 13, 2021Updated 5 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆174Jul 25, 2024Updated 2 years ago
- ☆15Dec 28, 2022Updated 3 years ago
- Percentile computation for pytorch☆21Mar 30, 2020Updated 6 years ago
- PyTorch code to run synthetic experiments.☆436Sep 8, 2021Updated 5 years ago