1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 1 cited
Scaling Granite Code Models to 128K Context
Matt Stallone, Vaibhav Saxena, Leonid Karlinsky +19
This paper introduces long-context Granite code models that support effective context windows of up to 128K tokens. Our solution for scaling context length of Granite 3B/8B code mo…
cs.CV2023
Generalizable Pose Estimation Using Implicit Scene Representations
Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran +1
6-DoF pose estimation is an essential component of robotic manipulation pipelines. However, it usually suffers from a lack of generalization to new instances and object types. Most…