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20212023
most citedToward a Better Understanding of Loss Functions for Collaborative Filtering

13 citations · 30 across the 11 of their papers we have counts for

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2 papers · 1 filter

cs.CL2021★ 1 cited

Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation

Seongmin Park, Dongchan Shin, Sangyoun Paik +3

Fine-tuning pretrained language models (LMs) is a popular approach to automatic speech recognition (ASR) error detection during post-processing. While error detection systems often…

cs.CL2021

Finetuning Pretrained Transformers into Variational Autoencoders

Seongmin Park, Jihwa Lee

Text variational autoencoders (VAEs) are notorious for posterior collapse, a phenomenon where the model's decoder learns to ignore signals from the encoder. Because posterior colla…