1 citations · 1 across the 9 of their papers we have counts for
4 papers · 1 filter
Probabilistic Language-Image Pre-Training
Sanghyuk Chun, Wonjae Kim, Song Park +1
Vision-language models (VLMs) embed aligned image-text pairs into a joint space but often rely on deterministic embeddings, assuming a one-to-one correspondence between images and…
Large-Scale Targeted Cause Discovery via Learning from Simulated Data
Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun +2
We propose a novel machine learning approach for inferring causal variables of a target variable from observations. Our focus is on directly inferring a set of causal factors witho…
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts
Wonjae Kim, Sanghyuk Chun, Taekyung Kim +2
In an era where the volume of data drives the effectiveness of self-supervised learning, the specificity and clarity of data semantics play a crucial role in model training. Addres…
Toward Interactive Regional Understanding in Vision-Large Language Models
Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun
Recent Vision-Language Pre-training (VLP) models have demonstrated significant advancements. Nevertheless, these models heavily rely on image-text pairs that capture only coarse an…