GNMR is a gradient-norm-based controller that maps local stability signals to budgeted recovery actions to stabilize low-precision LLM training while preserving quality.
Synergistic intra-and cross-layer regularization losses for moe expert specialization,
2 Pith papers cite this work. Polarity classification is still indexing.
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LiMoDE uses dynamic MoE pre-training on motion cues followed by lifelong expert addition for continuous robot task adaptation.
citing papers explorer
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LiMoDE: Rethinking Lifelong Robot Manipulation from a Mixture-of-Dynamic-Experts Perspective
LiMoDE uses dynamic MoE pre-training on motion cues followed by lifelong expert addition for continuous robot task adaptation.