Search papers, labs, and topics across Lattice.
4
0
7
2
Dense neural networks are choking on sparse recommendation data, but SSR's explicit sparsity unlocks continuous performance gains where dense models saturate.
Achieve consistently high accuracy across all animal behaviors by adaptively customizing features and calibrating the classifier to overcome suboptimal sampling rates and class imbalance.
A Transformer-based ranking model can boost e-commerce orders by 6.35% while halving latency, thanks to optimizations targeting feature sparsity and low label density.
Forget interaction-driven next-item prediction: SIGMA uses instruction-following and semantic grounding to create a generative recommender that adapts to evolving trends and diverse tasks on AliExpress.
