flaviovdf / label-shiftLinks
☆31Updated 4 years ago
Alternatives and similar repositories for label-shift
Users that are interested in label-shift are comparing it to the libraries listed below
Sorting:
- A simple algorithm to identify and correct for label shift.☆21Updated 7 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated last month
- Label shift experiments☆17Updated 4 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆105Updated last year
- On Calibration of Modern Neural Networks - tensorflow implementation☆30Updated 7 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 4 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- ☆29Updated 6 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Another Domain Adaptation library, aimed at researchers.☆100Updated 3 months ago
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11Updated 6 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆37Updated 4 years ago
- Calibration of Convolutional Neural Networks☆166Updated 2 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆18Updated 4 years ago
- ☆32Updated 7 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago