ml-feedback-sys / materials-f23
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for materials-f23
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆13Updated this week
- This is a collection of papers and other resources related to fairness.☆92Updated last year
- This repository collects all relevant resources about interpretability in LLMs☆289Updated 3 weeks ago
- tianlu-wang / Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-ModelsNAACL 2022 Findings☆14Updated 2 years ago
- We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.☆98Updated 5 months ago
- Data from the HeartSteps V1 study☆11Updated last year
- ☆59Updated 2 years ago
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆406Updated this week
- ☆174Updated last year
- Replication code for "The Structure of Toxic Conversations on Twitter" (WWW'21)☆9Updated 3 years ago
- Mechanistic Interpretability Visualizations using React☆200Updated 4 months ago
- ☆94Updated 6 months ago
- CSuite: A Suite of Benchmark Datasets for Causality☆58Updated last year
- ☆15Updated last year
- ☆149Updated 6 months ago
- Tensorflow 2 implementation of Causal-BERT☆70Updated last year
- ☆43Updated 2 years ago
- Training Sparse Autoencoders on Language Models☆469Updated this week
- ☆199Updated 6 months ago
- Papers on fairness in NLP☆431Updated 6 months ago
- Package for computing causal effects of text (as treatment)☆69Updated 2 years ago
- ☆16Updated 3 years ago
- Schedule and Syllabus for Human-Centered Machine learning.☆180Updated last year
- A reading list for papers on causality for natural language processing (NLP)☆507Updated last month
- A Python Data Valuation Package☆28Updated last year
- ☆188Updated last month
- Extensive acceptance rates and information of main AI conferences☆144Updated 3 months ago
- ☆111Updated last year
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆14Updated 4 years ago