activity
20192023
most citedDataComp: In search of the next generation of multimodal datasets

74 citations · 93 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 74 cited

DataComp: In search of the next generation of multimodal datasets

Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang +31

Multimodal datasets are a critical component in recent breakthroughs such as Stable Diffusion and GPT-4, yet their design does not receive the same research attention as model arch…

cs.CV2022★ 5 cited

What does a platypus look like? Generating customized prompts for zero-shot image classification

Sarah Pratt, Ian Covert, Rosanne Liu +1

Open-vocabulary models are a promising new paradigm for image classification. Unlike traditional classification models, open-vocabulary models classify among any arbitrary set of c…

cs.CV2022★ 2 cited

The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents

Sarah Pratt, Luca Weihs, Ali Farhadi

The last few years have witnessed substantial progress in the field of embodied AI where artificial agents, mirroring biological counterparts, are now able to learn from interactio…

cs.CV2020

Grounded Situation Recognition

Sarah Pratt, Mark Yatskar, Luca Weihs +2

We introduce Grounded Situation Recognition (GSR), a task that requires producing structured semantic summaries of images describing: the primary activity, entities engaged in the…

cs.CV2019★ 12 cited

Learning Generalizable Visual Representations via Interactive Gameplay

Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani +7

A growing body of research suggests that embodied gameplay, prevalent not just in human cultures but across a variety of animal species including turtles and ravens, is critical in…