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20212023
most citedMutual Information Divergence: A Unified Metric for Multimodal Generative Models

7 citations · 20 across the 12 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CV2021

Exploration into Translation-Equivariant Image Quantization

Woncheol Shin, Gyubok Lee, Jiyoung Lee +3

This is an exploratory study that discovers the current image quantization (vector quantization) do not satisfy translation equivariance in the quantized space due to aliasing. Ins…

cs.NE2021★ 3 cited

Conditional Generation of Periodic Signals with Fourier-Based Decoder

Jiyoung Lee, Wonjae Kim, Daehoon Gwak +1

Periodic signals play an important role in daily lives. Although conventional sequential models have shown remarkable success in various fields, they still come short in modeling p…

cs.CL2021

Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding

Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh +3

EHR systems lack a unified code system forrepresenting medical concepts, which acts asa barrier for the deployment of deep learningmodels in large scale to multiple clinics and hos…

cs.CV2021★ 2 cited

Wide and Narrow: Video Prediction from Context and Motion

Jaehoon Cho, Jiyoung Lee, Changjae Oh +2

Video prediction, forecasting the future frames from a sequence of input frames, is a challenging task since the view changes are influenced by various factors, such as the global…

cs.CV2021★ 3 cited

Self-balanced Learning For Domain Generalization

Jin Kim, Jiyoung Lee, Jungin Park +2

Domain generalization aims to learn a prediction model on multi-domain source data such that the model can generalize to a target domain with unknown statistics. Most existing appr…

cs.LG2021★ 2 cited

Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding

Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh +3

Substantial increase in the use of Electronic Health Records (EHRs) has opened new frontiers for predictive healthcare. However, while EHR systems are nearly ubiquitous, they lack…