dallascard / dawid_skeneLinks
Implementation of the estimator for combining noisy observations from Dawid and Skene (1979)
☆40Updated 11 years ago
Alternatives and similar repositories for dawid_skene
Users that are interested in dawid_skene are comparing it to the libraries listed below
Sorting:
- ☆135Updated 6 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation S…☆44Updated 3 years ago
- ☆125Updated 4 years ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆45Updated last year
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 20…☆53Updated 5 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Deep Weighted Averaging Classifiers☆23Updated 6 years ago
- ☆84Updated 4 years ago
- Quality control code for estimating the quality of the workers in crowdsourcing environments☆70Updated 5 months ago
- Code/figures in Right for the Right Reasons☆57Updated 5 years ago
- Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"☆56Updated 5 years ago
- Experiments for AAAI anchor paper☆66Updated 7 years ago
- Supervised Local Modeling for Interpretability☆29Updated 7 years ago
- python tools to check recourse in linear classification☆77Updated 4 years ago
- Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018☆14Updated 6 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- ☆51Updated 7 years ago
- Comparing fairness-aware machine learning techniques.☆160Updated 3 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 8 years ago
- Python code for training fair logistic regression classifiers.☆192Updated 3 years ago
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆41Updated 3 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 5 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆177Updated 2 years ago
- Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019☆14Updated last year
- ☆27Updated 2 years ago
- Gromov-Wasserstein Alignment of Embeddings☆68Updated 4 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Bayesian Skip-gram model☆47Updated 5 years ago