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
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆20Updated last year
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 5 years ago
- ☆74Updated 5 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆11Updated 2 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆36Updated 3 years ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆25Updated 2 years ago
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆12Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- EnD: Entangling and Disentangling deep representations for bias correction | CVPR21 https://doi.org/10.1109/CVPR46437.2021.01330☆16Updated 3 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- Implementation of Boundary Attributions for Normal (Vector) Explanations☆10Updated 3 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated 2 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆38Updated 2 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆63Updated 3 years ago
- Concept Bottleneck Models, ICML 2020☆208Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated 2 months ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆24Updated 3 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Updated 5 years ago
- ☆39Updated last year
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆33Updated 4 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated 2 years ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆108Updated last year
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆33Updated 3 years ago
- SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization☆48Updated 2 years ago
- Official implementation of paper 'Fair Feature Distillation for Visual Recognition'☆17Updated 4 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆31Updated last year