MadryLab / bias-transferLinks
☆15Updated 3 years ago
Alternatives and similar repositories for bias-transfer
Users that are interested in bias-transfer are comparing it to the libraries listed below
Sorting:
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Certified Patch Robustness via Smoothed Vision Transformers☆42Updated 3 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated 2 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- ☆36Updated 2 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- LISA for ICML 2022☆50Updated 2 years ago
- ☆18Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Updated 2 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Updated 3 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated last year
- ☆26Updated 3 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- ☆34Updated 2 months ago
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16Updated 2 years ago
- ☆8Updated 4 years ago
- ☆58Updated 2 years ago
- Recycling diverse models☆45Updated 2 years ago
- Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)☆21Updated 2 years ago
- ☆18Updated 3 years ago
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Updated last year
- Code for T-MARS data filtering☆35Updated last year
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Updated last year
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)☆10Updated 11 months ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago