TeLLMe what you see: using LLMs to explain neurons in vision models
As the role of machine learning models continues to expand across diverse fields, the demand for model interpretability grows. This is particularly crucial for deep learning models, which are often referred to as black boxes, due to their highly nonlinear nature. This paper proposes a novel method f...
| 第一著者: | |
|---|---|
| その他の著者: | |
| フォーマット: | Final Year Project (FYP) |
| 言語: | English |
| 出版事項: |
Nanyang Technological University
2024
|
| 主題: | |
| オンライン･アクセス: | https://hdl.handle.net/10356/174298 |