3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Deep Model Compression Also Helps Models Capture Ambiguity
Hancheol Park, Jong C. Park
Natural language understanding (NLU) tasks face a non-trivial amount of ambiguous samples where veracity of their labels is debatable among annotators. NLU models should thus accou…
cs.SD2023★ 1 cited
A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation
Bo-Kyeong Kim, Jaemin Kang, Daeun Seo +5
Virtual humans have gained considerable attention in numerous industries, e.g., entertainment and e-commerce. As a core technology, synthesizing photorealistic face frames from tar…
cs.LG2022★ 3 cited
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs
Bo-Kyeong Kim, Shinkook Choi, Hancheol Park
Pruning effectively compresses overparameterized models. Despite the success of pruning methods for discriminative models, applying them for generative models has been relatively r…