zhangrh93 / InvertibleCELinks
Invertible Concept-based Explanation (ICE)
☆18Updated 4 years ago
Alternatives and similar repositories for InvertibleCE
Users that are interested in InvertibleCE are comparing it to the libraries listed below
Sorting:
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 3 years ago
- ☆73Updated 5 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆36Updated 3 years ago
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 5 years ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆25Updated 2 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆20Updated last year
- Official implementation of paper 'Fair Feature Distillation for Visual Recognition'☆17Updated 4 years ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆112Updated last year
- Concept Bottleneck Models, ICML 2020☆212Updated 2 years ago
- ☆16Updated 3 years ago
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆20Updated 2 years ago
- ☆46Updated 4 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆109Updated 2 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- ☆28Updated 2 years ago
- ☆39Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆84Updated last year
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 3 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆63Updated 3 years ago
- Original dataset release for CIFAR-10H☆83Updated 4 years ago
- Towards Automatic Concept-based Explanations☆160Updated last year
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated 2 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆55Updated 3 years ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆24Updated 3 years ago
- Implementation of Boundary Attributions for Normal (Vector) Explanations☆11Updated 4 years ago
- EnD: Entangling and Disentangling deep representations for bias correction | CVPR21 https://doi.org/10.1109/CVPR46437.2021.01330☆16Updated 4 years ago