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 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
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Quality control code for estimating the quality of the workers in crowdsourcing environments☆71Updated 6 months ago
- ☆125Updated 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
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- Experiments for AAAI anchor paper☆66Updated 7 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆45Updated 2 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆126Updated 5 years ago
- Algorithms and evaluation tools for extreme clustering☆73Updated 6 years ago
- Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"☆56Updated 5 years ago
- Deep Weighted Averaging Classifiers☆23Updated 6 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
- SparseMAP: differentiable sparse structure inference☆112Updated 6 years ago
- Code/figures in Right for the Right Reasons☆57Updated 5 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆77Updated 8 years ago
- ☆84Updated 4 years ago
- python tools to check recourse in linear classification☆77Updated 5 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…☆36Updated 4 years ago
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆82Updated 2 years ago
- The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.☆45Updated 2 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Updated 4 years ago
- Code for the paper "Rule induction for global explanation of trained models"☆21Updated last year
- A simple Tensorflow implementation of https://arxiv.org/abs/1906.04985☆13Updated 6 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- A Mechanical Turk Interface (amti) 🤖☆56Updated 2 years ago
- Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE☆42Updated 2 years ago