explainability topic

XAI based human-in-the-loop framework for automatic rule-learning.

adaamko

Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.

linkedin

Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.

all-things-vits

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

egyptdj

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

csinva

Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

microsoft

Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023

mertyg

Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embeddin...

mateoespinosa

[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification

LCS2-IIITD

TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets

kochlisGit