Moving an object from one location to another—picking and placing—is an ideal application for industrial robots due to the robots’ repeatability, throughput and favorable return on investment. It is ...

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Abstract: Action quality assessment (AQA) automatically evaluates how well humans perform actions in a given video, a technique widely used in fields such as rehabilitation medicine, athletic ...

Abstract: Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction ...

Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...

There is a pressing need for Mathematics Education Researchers to develop tools and frameworks for scientific communication around theories, to further theory-driven research practices and offer new ...

We propose GraphEval to evaluate an LLM's performance using a substantially large test dataset. Specifically, the test dataset is retrieved from a large knowledge graph with more than 10 million facts ...