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cs.CV2024
Transformer-Based Tooth Alignment Prediction With Occlusion And Collision Constraints
ZhenXing Dong, JiaZhou Chen, YangHui Xu
The planning of digital orthodontic treatment requires providing tooth alignment, which not only consumes a lot of time and labor to determine manually but also relays clinical exp…
cs.DC2024
Stochastic Communication Avoidance for Recommendation Systems
Lutfi Eren Erdogan, Vijay Anand Raghava Kanakagiri, Kurt Keutzer +1
One of the major bottlenecks for efficient deployment of neural network based recommendation systems is the memory footprint of their embedding tables. Although many neural network…
cs.IR2024
DQRM: Deep Quantized Recommendation Models
Yang Zhou, Zhen Dong, Ellick Chan +3
Large-scale recommendation models are currently the dominant workload for many large Internet companies. These recommenders are characterized by massive embedding tables that are s…