TAST: Task-Aware Sparse Topology Learning for Multi-Task Recommendation
TAST is proposed, a Task-Aware Sparse Topology Learning framework that constructs task-specific subnetworks within a shared network that learns shared parameters and task-specific topologies, hardens the learned masks into binary structures, and optionally applies a lightweight sample-conditioned refinement module for...