activity
20192026
most citedAttentive Geo-Social Group Recommendation

2 citations · 5 across the 5 of their papers we have counts for

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cs.LG2026

Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition

Qingyu Wu, Jianfei Shen, Feiyi Fan +3

For low-semantic sensor signals from human activity recognition (HAR), contrastive learning (CL) is essential to implement novel applications or generic models without manual annot…