2 citations · 6 across the 5 of their papers we have counts for
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cs.LG2021
Generalization in Multimodal Language Learning from Simulation
Aaron Eisermann, Jae Hee Lee, Cornelius Weber +1
Neural networks can be powerful function approximators, which are able to model high-dimensional feature distributions from a subset of examples drawn from the target distribution.…
cs.LG2020★ 2 cited
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
Shufeng Kong, Junwen Bai, Jae Hee Lee +6
A key problem in computational sustainability is to understand the distribution of species across landscapes over time. This question gives rise to challenging large-scale predicti…