AmanDaVinci / SENNLinks
Self-Explaining Neural Networks
☆43Updated 5 years ago
Alternatives and similar repositories for SENN
Users that are interested in SENN are comparing it to the libraries listed below
Sorting:
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- Self-Explaining Neural Networks☆13Updated 2 years ago
- Local explanations with uncertainty 💐!☆41Updated 2 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 3 years ago
- ☆38Updated 5 years ago
- ☆46Updated 2 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆42Updated 3 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆25Updated 2 years ago
- ☆38Updated 4 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 7 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- ☆31Updated 4 years ago
- Quantile risk minimization☆24Updated last year
- Reusable BatchBALD implementation☆79Updated last year
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Updated 3 years ago
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 3 years ago
- ☆37Updated 2 years ago
- ☆63Updated 5 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆42Updated 2 months ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆84Updated 3 weeks ago