9 citations · 16 across the 8 of their papers we have counts for
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cs.LG2019★ 3 cited
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data
John Just, Sambuddha Ghosal
Advances in deep generative and density models have shown impressive capacity to model complex probability density functions in lower-dimensional space. Also, applying such models…
cs.CV2019
Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth
Muhammad K A Hamdan, Daine T. Rover, Matthew J. Darr +1
Supervised learning is the workhorse for regression and classification tasks, but the standard approach presumes ground truth for every measurement. In real world applications, lim…