JonathanCrabbe / SimplexLinks
This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.
☆24Updated 2 years ago
Alternatives and similar repositories for Simplex
Users that are interested in Simplex are comparing it to the libraries listed below
Sorting:
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆44Updated last year
- Self-Explaining Neural Networks☆42Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 3 years ago
- ☆31Updated 3 years ago
- ☆44Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆62Updated 5 years ago
- Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates☆23Updated last year
- ☆65Updated last year
- Self-Explaining Neural Networks☆13Updated 2 years ago
- Local explanations with uncertainty 💐!☆40Updated 2 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 3 years ago
- ☆63Updated 4 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆31Updated 5 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆31Updated 3 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆61Updated 2 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆36Updated 2 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated 3 months ago
- The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆112Updated last year