jjbrophy47 / instance_based_interpretabilityLinks
Existing literature about training-data analysis.
☆17Updated 3 years ago
Alternatives and similar repositories for instance_based_interpretability
Users that are interested in instance_based_interpretability are comparing it to the libraries listed below
Sorting:
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- This is a list of awesome prototype-based papers for explainable artificial intelligence.☆38Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆120Updated 2 years ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆94Updated last year
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆109Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆81Updated last year
- A repository for summaries of recent explainable AI/Interpretable ML approaches☆80Updated 10 months ago
- A benchmark for distribution shift in tabular data☆55Updated last year
- Concept Bottleneck Models, ICML 2020☆208Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 6 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆64Updated 2 months ago
- Awesome coreset/core-set/subset/sample selection works.☆178Updated last year
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆338Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆95Updated 9 months ago
- ☆37Updated 2 years ago
- ☆22Updated 6 years ago
- Paper of out of distribution detection and generalization☆56Updated last year
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆47Updated 9 months ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆50Updated last year
- The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"☆17Updated last year
- Code release for the paper Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning☆30Updated 3 years ago
- This is a collection of papers and other resources related to fairness.☆95Updated 2 years ago
- ☆10Updated 4 months ago
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆12Updated last year
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- ☆31Updated 8 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- Distributionally robust neural networks for group shifts☆274Updated 2 years ago
- A collection of model transferability estimation methods.☆28Updated 9 months ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆571Updated last year