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cs.LG2023
A Theory of Human-Like Few-Shot Learning
Zhiying Jiang, Rui Wang, Dongbo Bu +1
We aim to bridge the gap between our common-sense few-sample human learning and large-data machine learning. We derive a theory of human-like few-shot learning from von-Neuman-Land…
cs.LG2022
NIERT: Accurate Numerical Interpolation through Unifying Scattered Data Representations using Transformer Encoder
Shizhe Ding, Boyang Xia, Milong Ren +1
Interpolation for scattered data is a classical problem in numerical analysis, with a long history of theoretical and practical contributions. Recent advances have utilized deep ne…