3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.AI2024★ 1 cited
GATS: Gather-Attend-Scatter
Konrad Zolna, Serkan Cabi, Yutian Chen +5
As the AI community increasingly adopts large-scale models, it is crucial to develop general and flexible tools to integrate them. We introduce Gather-Attend-Scatter (GATS), a nove…
cs.LG2023★ 3 cited
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Mohit Sharma, Claudio Fantacci, Yuxiang Zhou +4
Recent works have shown that large models pretrained on common visual learning tasks can provide useful representations for a wide range of specialized perception problems, as well…