kristinagligoric / confidence-driven-inferenceLinks
☆12Updated last month
Alternatives and similar repositories for confidence-driven-inference
Users that are interested in confidence-driven-inference are comparing it to the libraries listed below
Sorting:
- Code accompanying the paper "Understanding Bias in Word Embeddings"☆22Updated 2 years ago
- Tensorflow 2 implementation of Causal-BERT☆71Updated last year
- Package for computing causal effects of text (as treatment)☆71Updated 3 years ago
- Code and data for "Heterogeneous Supervised Topic Models"☆11Updated 3 years ago
- Measuring if attention is explanation with ROAR☆22Updated 2 years ago
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆92Updated 3 years ago
- ☆54Updated 3 months ago
- ☆26Updated 2 years ago
- CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.☆154Updated 7 months ago
- Implementation of popular agreement metrics such as Cohen kappa, Fleiss kappa, Krippendorff alpha☆16Updated 3 years ago
- ☆17Updated 5 months ago
- Find text features that are most related to an outcome, controlling for confounds.☆60Updated last year
- ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence (NAACL 2022)☆38Updated 3 weeks ago
- Cross-prediction-powered inference☆15Updated last year
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆35Updated 3 weeks ago
- A curated list of disentanglement in NLP. :-)☆17Updated 3 years ago
- ☆11Updated last year
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- ☆53Updated 5 years ago
- A repo to keep all resources about interpretability in NLP organised and up to date☆12Updated 4 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆55Updated 5 years ago
- Code and data for "Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words"☆16Updated 4 years ago
- Efficient Conformal Prediction via Cascaded Inference with Expanded Admission☆20Updated 4 years ago
- Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"☆49Updated 3 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated last month
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆13Updated last year
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 3 years ago
- Explaining neural decisions contrastively to alternative decisions.☆25Updated 4 years ago
- ☆14Updated 5 years ago