AI-secure / KNN-PVLDBLinks
Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"
☆26Updated 5 years ago
Alternatives and similar repositories for KNN-PVLDB
Users that are interested in KNN-PVLDB are comparing it to the libraries listed below
Sorting:
- [CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?☆33Updated 4 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- ☆44Updated 5 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuatio…☆27Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated 2 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 5 years ago
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆34Updated 4 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆50Updated 4 years ago
- Parameter-Space Saliency Maps for Explainability☆23Updated 2 years ago
- Measuring data importance over ML pipelines using the Shapley value.☆43Updated this week
- ☆37Updated last year
- ☆30Updated 2 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 6 months ago
- Reproducible code for Augmentation paper☆17Updated 6 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- An amortized approach for calculating local Shapley value explanations☆98Updated last year
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- Self-Explaining Neural Networks☆42Updated 5 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- ☆38Updated 4 years ago
- Quantile risk minimization☆24Updated last year
- Computationally friendly hyper-parameter search with DP-SGD☆26Updated 7 months ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year