419 citations · 833 across the 13 of their papers we have counts for
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stat.ME2022★ 1 cited
Wasserstein Distributional Learning
Chengliang Tang, Nathan Lenssen, Ying Wei +1
Learning conditional densities and identifying factors that influence the entire distribution are vital tasks in data-driven applications. Conventional approaches work mostly with…
cs.LG2022
Learning to generate imaginary tasks for improving generalization in meta-learning
Yichen Wu, Long-Kai Huang, Ying Wei
The success of meta-learning on existing benchmarks is predicated on the assumption that the distribution of meta-training tasks covers meta-testing tasks. Frequent violation of th…