peterbhase / interpretable-image
Code for "Interpretable Image Recognition with Hierarchical Prototypes"
☆18Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for interpretable-image
- 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
- ☆41Updated last year
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated last year
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- ☆37Updated 3 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆44Updated 4 years ago
- ☆18Updated 3 years ago
- Code for Overinterpretation paper☆19Updated last year
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆17Updated 3 years ago
- ☆55Updated 4 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 2 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆99Updated 2 years ago
- ☆25Updated 4 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".☆16Updated 4 years ago
- ☆35Updated 3 years ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆34Updated 3 years ago
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 3 years ago
- ☆15Updated 4 years ago
- ☆33Updated 3 years ago
- LISA for ICML 2022☆47Updated last year
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'☆18Updated 2 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆28Updated last year
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆39Updated last year