Search Results for author:
Found 2 papers, 0 papers with code
Evaluating Image Review Ability of Vision Language Models
Large-scale vision language models (LVLMs) are language models that are capable of processing images and text inputs by a single model.
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation
Recently, in the field of recommendation systems, linear regression (autoencoder) models have been investigated as a way to learn item similarity.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
