harshays / inputgradients
Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)
☆13Updated 2 years ago
Alternatives and similar repositories for inputgradients:
Users that are interested in inputgradients are comparing it to the libraries listed below
- ☆38Updated 3 years ago
- ☆55Updated 4 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
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated last year
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆70Updated 8 months ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- ☆44Updated 2 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- ☆15Updated 4 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Distilling Model Failures as Directions in Latent Space☆46Updated last year
- Post-processing for fair classification☆13Updated last week
- ☆34Updated 3 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆19Updated 9 months ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ☆34Updated last year
- A way to achieve uniform confidence far away from the training data.☆37Updated 3 years ago
- ☆21Updated 2 years ago
- ☆34Updated 3 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆60Updated 4 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆18Updated 2 years ago
- Codes for the paper "Optimizing Mode Connectivity via Neuron Alignment" from NeurIPS 2020.☆15Updated 4 years ago
- ☆11Updated 2 years ago
- ☆62Updated 3 years ago
- ☆107Updated last year