6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CL2021
Distilling Linguistic Context for Language Model Compression
Geondo Park, Gyeongman Kim, Eunho Yang
A computationally expensive and memory intensive neural network lies behind the recent success of language representation learning. Knowledge distillation, a major technique for de…
cs.LG2020★ 6 cited
Attribution Preservation in Network Compression for Reliable Network Interpretation
Geondo Park, June Yong Yang, Sung Ju Hwang +1
Neural networks embedded in safety-sensitive applications such as self-driving cars and wearable health monitors rely on two important techniques: input attribution for hindsight a…
cs.CV2020★ 3 cited
MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding
Geondo Park, Chihye Han, Wonjun Yoon +1
Visual-semantic embedding enables various tasks such as image-text retrieval, image captioning, and visual question answering. The key to successful visual-semantic embedding is to…