: Unlike standard deep learning "black boxes," VICE is designed to provide interpretable dimensions, allowing researchers to understand which specific features (e.g., "living thing," "edible," "metal") define a concept.
: The LukasMut/VICE GitHub repository contains the implementation for producing these embeddings. ViceHD
The request "" likely refers to the research paper "VICE: Variational Interpretable Concept Embeddings" , which introduces a deep learning framework for modeling mental representations of object concepts. 1. The Core Technology: VICE : Unlike standard deep learning "black boxes," VICE
While "ViceHD" isn't a standard academic term, it may be a shorthand for high-fidelity or "deep" applications of this technology: Learn more If you are looking to access
: This work was notably featured at the NeurIPS conference, a premier venue for deep learning research. AI responses may include mistakes. Learn more
If you are looking to access or implement this "deep paper," you can find the primary materials here:
: It has been shown to rival or outperform previous models like SPoSE in predicting human behavior and is more consistent across different initializations. 2. Related High-Definition (HD) or Deep Concepts