Abstract: Multi-task learning (MTL) leverages a shared model to accomplish multiple tasks and facilitate knowledge transfer. Recent research on task arithmetic-based MTL demonstrates that merging the ...
Abstract: When parallel workloads do not scale with the core, it is challenging to utilize parallelism effectively, especially on distributed cache/memory multi-core platforms. The mapping of ...
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