17 citations · 30 across the 16 of their papers we have counts for
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cs.LG2021★ 17 cited
Diversity Matters When Learning From Ensembles
Giung Nam, Jongmin Yoon, Yoonho Lee +1
Deep ensembles excel in large-scale image classification tasks both in terms of prediction accuracy and calibration. Despite being simple to train, the computation and memory cost…
stat.ML2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty
Jeffrey Willette, Hae Beom Lee, Juho Lee +1
Numerous recent works utilize bi-Lipschitz regularization of neural network layers to preserve relative distances between data instances in the feature spaces of each layer. This d…
cs.CL2021★ 1 cited
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
Seanie Lee, Hae Beom Lee, Juho Lee +1
Multilingual models jointly pretrained on multiple languages have achieved remarkable performance on various multilingual downstream tasks. Moreover, models finetuned on a single m…