Search Results for author:
Found 7 papers, 2 papers with code
Using LLMs to Model the Beliefs and Preferences of Targeted Populations
We consider the problem of aligning a large language model (LLM) to model the preferences of a human population.
Visual Congruent Ads for Image Search
The quality of user experience online is affected by the relevance and placement of advertisements.
LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing
We propose a novel hashing-based matching scheme, called Locally Optimized Hashing (LOH), based on a state-of-the-art quantization algorithm that can be used for efficient, large-scale search, recommendation, clustering, and deduplication.
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Despite progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks such as image description and question answering.
Embracing Error to Enable Rapid Crowdsourcing
Microtask crowdsourcing has enabled dataset advances in social science and machine learning, but existing crowdsourcing schemes are too expensive to scale up with the expanding volume of data.
Describing and Understanding Neighborhood Characteristics through Online Social Media
To surface the content that is characteristic for a region, we present the geographical hierarchy model (GHM), a probabilistic model based on the assumption that data observed in a region is a random mixture of content that pertains to different levels of a hierarchy.
YFCC100M: The New Data in Multimedia Research
We present the Yahoo Flickr Creative Commons 100 Million Dataset (YFCC100M), the largest public multimedia collection that has ever been released.
Multimedia Computers and Society H.3.7
