ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems
Read the original at arxiv.org→arXiv:2608.18469v1 Announce Type: new Abstract: Lightweight proxy models enable rapid experimentation without repeatedly training frontier-scale systems, but their small kernels often leave modern accelerators...
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- Aug 20, 04:00 UTC arXiv cs.LG lead source ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems