Search Results for author:
Found 3 papers, 3 papers with code
V-IRL: Grounding Virtual Intelligence in Real Life
There is a sensory gulf between the Earth that humans inhabit and the digital realms in which modern AI agents are created.
Your Diffusion Model is Secretly a Zero-Shot Classifier
Our generative approach to classification, which we call Diffusion Classifier, attains strong results on a variety of benchmarks and outperforms alternative methods of extracting knowledge from diffusion models.
Ranked #1 on
Image Classification
on ObjectNet (ImageNet classes)
Internet Explorer: Targeted Representation Learning on the Open Web
Modern vision models typically rely on fine-tuning general-purpose models pre-trained on large, static datasets.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
