The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020) by Junhyun Nam et al.
☆35Nov 10, 2020Updated 5 years ago
Alternatives and similar repositories for BAR
Users that are interested in BAR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆93Oct 22, 2020Updated 5 years ago
- Codes for "Learning bounds for risk-sensitive learning," NeurIPS 2020 (or see arXiv 2006.08138)☆11Oct 15, 2020Updated 5 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆12Aug 28, 2023Updated 2 years ago
- EnD: Entangling and Disentangling deep representations for bias correction | CVPR21 https://doi.org/10.1109/CVPR46437.2021.01330☆15Sep 1, 2021Updated 4 years ago
- Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-informat…☆16Jun 28, 2023Updated 3 years ago
- 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.
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆46Oct 24, 2023Updated 2 years ago
- Official Pytorch implementation of "Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning (NeurIPS 2021)☆37Oct 26, 2021Updated 4 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆54Jul 16, 2024Updated last year
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆42Jan 21, 2024Updated 2 years ago
- Official PyTorch implementation of paper: "Revisiting the Importance of Amplifying Bias for Debiasing" (AAAI 2023)☆19Dec 30, 2022Updated 3 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
- Fair Attribute Classification through Latent Space De-biasing (CVPR 2021)☆72Jun 18, 2021Updated 5 years ago
- Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)☆15Apr 30, 2024Updated 2 years ago
- Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)☆35Jan 11, 2021Updated 5 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.
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆175Jul 25, 2024Updated last year
- PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization☆10Oct 26, 2021Updated 4 years ago
- Post-processing for fair classification☆16Jun 30, 2025Updated last year
- ☆48Jan 17, 2023Updated 3 years ago
- Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder (NeurIPS 2023)☆10Jun 5, 2024Updated 2 years ago
- ☆72Apr 19, 2020Updated 6 years ago
- ☆23Jun 15, 2022Updated 4 years ago
- Official codebase for the NeurIPS 2023 paper: Towards Last-layer Retraining for Group Robustness with Fewer Annotations. https://arxiv.or…☆12May 15, 2024Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆73May 18, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆106Mar 23, 2023Updated 3 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Oct 27, 2020Updated 5 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆41Aug 19, 2022Updated 3 years ago
- Distributionally robust neural networks for group shifts☆295Jan 3, 2023Updated 3 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12May 9, 2023Updated 3 years ago
- Demonstrates failures of bias mitigation methods under varying types/levels of biases (WACV 2021)☆26Mar 31, 2024Updated 2 years ago
- In progress.☆68Mar 26, 2024Updated 2 years ago
- PyTorch code accompanying the paper "Self-Improved Retrosynthetic Planning" (ICML 2021).☆25Jun 10, 2021Updated 5 years ago
- ☆61Apr 16, 2023Updated 3 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.
- Consistency Regularization for Adversarial Robustness (AAAI 2022)☆52Dec 12, 2021Updated 4 years ago
- ☆11Nov 5, 2024Updated last year
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 4 years ago
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆33Sep 18, 2019Updated 6 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Oct 25, 2022Updated 3 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Nov 28, 2020Updated 5 years ago
- ☆16Dec 24, 2021Updated 4 years ago