Vicehd -

: This work was notably featured at the NeurIPS conference, a premier venue for deep learning research. AI responses may include mistakes. Learn more

: The LukasMut/VICE GitHub repository contains the implementation for producing these embeddings.

: 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 ViceHD

is an approximate Bayesian method used to embed object concepts into a high-dimensional vector space based on human behavioral data (specifically "triplet odd-one-out" tasks).

: VICE: Variational Interpretable Concept Embeddings (arXiv) . : This work was notably featured at the

If you are looking to access or implement this "deep paper," you can find the primary materials here:

: 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. : It has been shown to rival or

While "ViceHD" isn't a standard academic term, it may be a shorthand for high-fidelity or "deep" applications of this technology: