Search Results for author:
Found 3 papers, 1 papers with code
VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
However, most robotic visual navigation methods rely on deep learning models pre-trained on vision tasks, which prioritize salient objects -- not necessarily relevant to navigation and potentially misleading.
How susceptible are LLMs to Logical Fallacies?
Then, it evaluates the debater's performance in logical reasoning by contrasting the scenario where the persuader employs logical fallacies against one where logical reasoning is used.
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
Machine Learning algorithms have had a profound impact on the field of computer science over the past few decades.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
