hadijomaa / dataset2vec
☆32Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for dataset2vec
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated last year
- A benchmark for distribution shift in tabular data☆44Updated 5 months ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆80Updated 3 weeks ago
- Reusable BatchBALD implementation☆74Updated 8 months ago
- A fast, effective data attribution method for neural networks in PyTorch☆179Updated this week
- Data-efficient Training of Machine Learning Models☆61Updated 3 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆102Updated 7 months ago
- A simple PyTorch implementation of influence functions.☆79Updated 5 months ago
- [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark☆220Updated 9 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆57Updated last year
- Measuring data importance over ML pipelines using the Shapley value.☆36Updated 3 weeks ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- ☆86Updated last year
- ☆58Updated 2 years ago
- Awesome coreset/core-set/subset/sample selection works.☆163Updated 4 months ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆73Updated 7 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆143Updated 2 years ago
- ☆49Updated last year
- PyTorch Explain: Interpretable Deep Learning in Python.☆145Updated 6 months ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆219Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆79Updated last year
- ☆71Updated last month
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆73Updated 2 years ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆109Updated this week
- ☆61Updated 3 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆125Updated 3 years ago