Distilling Model Failures as Directions in Latent Space
☆48Feb 8, 2023Updated 3 years ago
Alternatives and similar repositories for failure-directions
Users that are interested in failure-directions are comparing it to the libraries listed below
Sorting:
- ☆13Jun 23, 2022Updated 3 years ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Aug 22, 2023Updated 2 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Feb 27, 2023Updated 3 years ago
- DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactu…☆10Oct 9, 2024Updated last year
- ☆15Jul 24, 2022Updated 3 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Aug 15, 2023Updated 2 years ago
- ☆38Jun 10, 2021Updated 4 years ago
- ☆46May 8, 2024Updated last year
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Nov 30, 2022Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- ☆13Feb 12, 2023Updated 3 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97May 25, 2023Updated 2 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Jun 6, 2023Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Jun 14, 2022Updated 3 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Feb 6, 2023Updated 3 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated last year
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆16Oct 7, 2022Updated 3 years ago
- ☆12Feb 19, 2025Updated last year
- ☆30Jun 19, 2023Updated 2 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆79Oct 30, 2023Updated 2 years ago
- Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets☆12May 25, 2023Updated 2 years ago
- Procedural Image Programs for Representation Learning - NeurIPS 2022☆40Feb 4, 2026Updated last month
- ☆96Oct 27, 2022Updated 3 years ago
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Dec 15, 2023Updated 2 years ago
- ☆29Oct 18, 2022Updated 3 years ago
- ☆13Aug 14, 2022Updated 3 years ago
- Code for T-MARS data filtering☆35Aug 23, 2023Updated 2 years ago
- ☆14Feb 24, 2020Updated 6 years ago
- ☆16Nov 30, 2022Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Oct 25, 2022Updated 3 years ago
- Post-processing for fair classification☆17Jun 30, 2025Updated 8 months ago
- ☆35Sep 23, 2022Updated 3 years ago
- Code and instructions accompanying ICCV'23 paper Protoype-based Dataset Comparison☆18Dec 15, 2023Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆44Sep 11, 2023Updated 2 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Aug 5, 2023Updated 2 years ago
- Code for FAB-attack☆34Jul 10, 2020Updated 5 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆39Dec 3, 2024Updated last year
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆41Aug 19, 2022Updated 3 years ago