jvendrow / GuidedNMFLinks
[Paper] Repository for the paper "On a Guided Nonnegative matrix factorization," published in IEEE ICASSP 2021.
☆10Updated 3 years ago
Alternatives and similar repositories for GuidedNMF
Users that are interested in GuidedNMF are comparing it to the libraries listed below
Sorting:
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆26Updated 7 months ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- ☆18Updated 3 years ago
- ☆12Updated 9 months ago
- BenchBench is a Python package to evaluate multi-task benchmarks.☆15Updated 11 months ago
- A weak supervision framework for (partial) labeling functions☆16Updated 11 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- Measuring if attention is explanation with ROAR☆22Updated 2 years ago
- quica is a tool to run inter coder agreement pipelines in an easy and effective ways. Multiple measures are run and results are collected…☆23Updated 4 years ago
- AutoML Two-Sample Test☆19Updated 2 years ago
- Experiments on GPT-3's ability to fit numerical models in-context.☆14Updated 2 years ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆16Updated 2 years ago
- Dutch abusive language data☆11Updated last year
- Ranking of fine-tuned HF models as base models.☆35Updated last month
- Achieve error-rate fairness between societal groups for any score-based classifier.☆19Updated last year
- Solving the causality pairs challenge (does A cause B) with ChatGPT☆77Updated last year
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆42Updated 3 months ago
- ☆54Updated 3 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- Extending Conformal Prediction to LLMs☆66Updated last year
- ☆21Updated 3 years ago
- ☆14Updated 4 years ago
- ☆39Updated last year
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- ☆31Updated 2 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆16Updated 2 years ago
- Noise-robust de-duplication at scale☆20Updated 2 years ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 3 years ago
- A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.☆26Updated 4 years ago
- Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost☆8Updated last year