CAMP-eXplain-AI / InputIBALinks
NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
☆34Updated 3 years ago
Alternatives and similar repositories for InputIBA
Users that are interested in InputIBA are comparing it to the libraries listed below
Sorting:
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆42Updated 2 months ago
- Information Bottlenecks for Attribution☆83Updated 3 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆71Updated 2 months ago
- Concept Bottleneck Models, ICML 2020☆233Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- LISA for ICML 2022☆52Updated 2 years ago
- ☆46Updated 2 years ago
- ☆122Updated 3 years ago
- NumPy library for calibration metrics☆73Updated 2 months ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆83Updated 3 years ago
- ☆36Updated 4 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆40Updated 3 years ago
- Code for Diff-SCM paper☆99Updated 2 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- ☆38Updated 5 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆145Updated 2 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated last year
- ☆43Updated last year
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆107Updated 3 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆84Updated last week
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆88Updated 3 years ago
- Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022☆28Updated 3 years ago
- ☆25Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year