peterbhase / interpretable-image
Code for "Interpretable Image Recognition with Hierarchical Prototypes"
☆18Updated 4 years ago
Related projects: ⓘ
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated last year
- CVPR'19 experiments with (on-manifold) adversarial examples.☆43Updated 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 last year
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- ☆37Updated 3 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆99Updated 2 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 2 years ago
- ☆25Updated 4 years ago
- ☆46Updated 3 years ago
- ☆40Updated last year
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 3 years ago
- NeurIPS Reproducbility Challenge 2019☆9Updated 4 years ago
- This is the official implementation of ClusTR: Clustering Training for Robustness paper.☆20Updated 2 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 2 years ago
- Explanation Optimization☆13Updated 3 years ago
- ☆55Updated 4 years ago
- baseline mode for the ObjectNet competition☆17Updated 3 years ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- A way to achieve uniform confidence far away from the training data.☆36Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆27Updated last year
- Code for the Adversarial Image Detectors and a Saliency Map☆12Updated 7 years ago
- Understanding Rare Spurious Correlations in Neural Network☆11Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆48Updated 3 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Updated 4 years ago
- Code for NeurIPS 2019 Paper☆49Updated 4 years ago
- ☆21Updated 4 years ago