singlasahil14 / barlowLinks
Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
☆36Updated 3 years ago
Alternatives and similar repositories for barlow
Users that are interested in barlow are comparing it to the libraries listed below
Sorting:
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆38Updated 4 years ago
- ☆55Updated 5 years ago
- ☆33Updated 4 years ago
- ☆37Updated 2 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆101Updated 3 years ago
- ☆46Updated 2 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆50Updated 4 years ago
- ☆142Updated 5 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆64Updated 4 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 3 years ago
- Fine-grained ImageNet annotations☆30Updated 5 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- ☆25Updated 5 years ago
- ☆110Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆43Updated 2 years ago
- ☆96Updated 3 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- Training vision models with full-batch gradient descent and regularization☆39Updated 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 3 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆38Updated last year
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆41Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆45Updated 5 years ago