maksym33 / FeatureImportanceDL
☆40Updated last year
Related projects ⓘ
Alternatives and complementary repositories for FeatureImportanceDL
- An Empirical Framework for Domain Generalization In Clinical Settings☆27Updated 2 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 3 years ago
- Survey for Distribution Shift☆18Updated 3 years ago
- Implementation of the paper "Shapley Explanation Networks"☆85Updated 3 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 3 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated last month
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆27Updated 3 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆40Updated last year
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- A benchmark for distribution shift in tabular data☆43Updated 5 months ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆23Updated last year
- ☆60Updated 3 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆22Updated 3 years ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆75Updated 2 years ago
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆43Updated 7 months ago
- [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题☆105Updated 4 months ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆19Updated 5 years ago
- Source code for a comprehensive analysis of MTL over EHR timeseries data.☆34Updated last year
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆99Updated 2 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆55Updated 5 years ago
- Local explanations with uncertainty 💐!☆39Updated last year
- Time-Aware Transformer-based Network for Clinical Notes Series Prediction☆23Updated 9 months ago
- Custom loss functions to use in (mainly) PyTorch.☆36Updated 4 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆58Updated 4 years ago
- Self-Explaining Neural Networks☆13Updated last year
- ☆30Updated last year
- MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)☆48Updated 4 years ago
- ☆47Updated 3 years ago
- Source code for StageNet: Stage-Aware Neural Networks for Health Risk Prediction☆29Updated 4 years ago