Search Results for author:
Found 8 papers, 4 papers with code
Retrieval-Augmented Open-Vocabulary Object Detection
Specifically, RALF consists of two modules: Retrieval Augmented Losses (RAL) and Retrieval-Augmented visual Features (RAF).
Ranked #9 on
Open Vocabulary Object Detection
on MSCOCO
(using extra training data)
Distribution-Aware Prompt Tuning for Vision-Language Models
Pre-trained vision-language models (VLMs) have shown impressive performance on various downstream tasks by utilizing knowledge learned from large data.
Emergent Communication under Varying Sizes and Connectivities
Just as we humans have succeeded in creating a shared language that allows us to interact within a large group, can the emergent communication within an artificial group converge to a shared, agreed language?
CoRGi: Content-Rich Graph Neural Networks with Attention
Graph representations of a target domain often project it to a set of entities (nodes) and their relations (edges).
Emergence of Collective Policies Inside Simulations with Biased Representations
We consider a setting where biases are involved when agents internalise an environment.
Homogeneity-Based Transmissive Process to Model True and False News in Social Networks
An overwhelming number of true and false news stories are posted and shared in social networks, and users diffuse the stories based on multiple factors.
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
Online social networking sites are experimenting with the following crowd-powered procedure to reduce the spread of fake news and misinformation: whenever a user is exposed to a story through her feed, she can flag the story as misinformation and, if the story receives enough flags, it is sent to a trusted third party for fact checking.
Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora
Second, it models each author's influence on citations of a paper based on the topics of the cited papers, as well as the citing papers.
