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Found 3 papers, 1 papers with code
Ambient Adventures: Teaching ChatGPT on Developing Complex Stories
Imaginative play is an area of creativity that could allow robots to engage with the world around them in a much more personified way.
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection
Recommendation is a prevalent application of machine learning that affects many users; therefore, it is important for recommender models to be accurate and interpretable.
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training
Recommendation systems are often trained with a tremendous amount of data, and distributed training is the workhorse to shorten the training time.
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