2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
Curriculum Learning for Data-Efficient Vision-Language Alignment
Tejas Srinivasan, Xiang Ren, Jesse Thomason
Aligning image and text encoders from scratch using contrastive learning requires large amounts of paired image-text data. We alleviate this need by aligning individually pre-train…
cs.FL2022★ 2 cited
Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic
Sara Mohammadinejad, Jesse Thomason, Jyotirmoy V. Deshmukh
Natural language is an intuitive way for humans to communicate tasks to a robot. While natural language (NL) is ambiguous, real world tasks and their safety requirements need to be…