Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss sees it. A paper posted today on arXiv identifies this readout blind spot, ...
Normalization techniques have become integral to the training of deep neural networks, serving to stabilise learning dynamics, accelerate convergence and improve generality. At their core, these ...
A new technical paper titled “LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training” was published by researchers at DGIST (Daegu Gyeongbuk Institute of Science ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results