🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
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Updated
Feb 29, 2024 - Python
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
EMNLP'2020: Look at the First Sentence: Position Bias in Question Answering
Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.
Tune weights manually.
Summarization benchmark for studying corpus bias of your system
Comparison of Model Output Statistics and Adaptive Regression based on Kalman Filters for the Lorenz-96 Model.
Image extraction and bias analysis
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