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Found 7 papers, 0 papers with code
Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization
Physical common sense plays an essential role in the cognition abilities of robots for human-robot interaction.
Improving Out-of-Vocabulary Handling in Recommendation Systems
This work focuses on a complementary problem: recommending new users and items unseen (out-of-vocabulary, or OOV) at training time.
Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture
This paper attempts to highlight a use-case of state-of-the-art image segmentation models like SAM for crop-type mapping and related specific needs of the agriculture industry, offering a potential avenue for automatic, efficient, and cost-effective data products for precision agriculture practices.
Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition
We propose a novel tensor embedding method that can effectively extract lexical features for humor recognition.
tHoops: A Multi-Aspect Analytical Framework Spatio-Temporal Basketball Data
For example, shot charts, that is, maps capturing locations of (made or missed) shots, and spatio-temporal trajectories for all the players on the court can capture information about the offensive and defensive tendencies and schemes of a team.
