8 citations
2 papers
cs.AI2024
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context
Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi +3
Following their success in natural language processing (NLP), there has been a shift towards transformer models in computer vision. While transformers perform well and offer promis…
cs.IR2024★ 8 cited
UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture
Sitian Chen, Haobin Tan, Amelie Chi Zhou +2
Deep Learning Recommendation Models (DLRMs) have gained popularity in recommendation systems due to their effectiveness in handling large-scale recommendation tasks. The embedding…