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Found 3 papers, 1 papers with code
Multilingual Language Models Predict Human Reading Behavior
We analyze if large language models are able to predict patterns of human reading behavior.
Depth-Aware Action Recognition: Pose-Motion Encoding through Temporal Heatmaps
The key component of our method is the Depth-Aware Pose Motion representation (DA-PoTion), a new video descriptor that encodes the 3D movement of semantic keypoints of the human body.
Adversarial Learning for Debiasing Knowledge Graph Embeddings
As a second step, we explore gender bias in KGE, and a careful examination of popular KGE algorithms suggest that sensitive attribute like the gender of a person can be predicted from the embedding.
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