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cs.LG2024
Direct Quantized Training of Language Models with Stochastic Rounding
Kaiyan Zhao, Tsuguchika Tabaru, Kenichi Kobayashi +3
Although recent quantized Large Language Models (LLMs), such as BitNet, have paved the way for significant reduction in memory usage during deployment with binary or ternary weight…
cs.LG2024★ 1 cited
Cross-Domain Policy Transfer by Representation Alignment via Multi-Domain Behavioral Cloning
Hayato Watahiki, Ryo Iwase, Ryosuke Unno +1
Transferring learned skills across diverse situations remains a fundamental challenge for autonomous agents, particularly when agents are not allowed to interact with an exact targ…