rgklab / detectronLinks
Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"
☆11Updated last year
Alternatives and similar repositories for detectron
Users that are interested in detectron are comparing it to the libraries listed below
Sorting:
- [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…☆25Updated 2 months ago
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆12Updated last year
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆14Updated 3 years ago
- LISA for ICML 2022☆51Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Improving the Fairness of Chest X-ray Classifiers☆14Updated 3 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 8 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆69Updated 2 weeks ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆71Updated 2 years ago
- ☆46Updated 2 years ago
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆42Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆110Updated 2 years ago
- ☆18Updated 2 years ago
- modular domain generalization: https://pypi.org/project/domainlab/☆45Updated 7 months ago
- Package to estimate the grouping loss of a classifier, based on the paper "Beyond calibration: estimating the grouping loss of modern neu…☆10Updated 10 months ago
- [NeurIPS 23] Characterizing OOD Error via Optimal Transport☆13Updated last year
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆20Updated 2 years ago
- ☆14Updated 3 years ago
- A method to generate counterfactuals☆12Updated 7 months ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".☆14Updated 3 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆36Updated 2 years ago
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆21Updated 7 months ago
- Quantile risk minimization☆24Updated last year
- Resources for Machine Learning Explainability☆86Updated last year
- PyTorch Explain: Interpretable Deep Learning in Python.☆163Updated last year
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago