choice of fully-convolutional temporal and spatial super-resolution models at certain resolutions
空域和时域的卷积
choice of fully-convolutional temporal and spatial super-resolution models at certain resolutions
空域和时域的卷积
ADAMIX: MIXTURE-OF-ADAPTER FORPARAMETER-EFFICIENT TUNING OF LARGELANGUAGE MODELS
这篇文章是做 adaptor的
ridging
起垄
locus
轨迹
conceivably
可以想象
gimmick
手法
Judicious
明智的