Ji, Mingi

8 publications

ICML 2024 LayerMerge: Neural Network Depth Compression Through Layer Pruning and Merging Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song

AAAI 2022 BROS: A Pre-Trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park

NeurIPS 2022 Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation JoonHo Jang, Byeonghu Na, Dong Hyeok Shin, Mingi Ji, Kyungwoo Song, Il-chul Moon

CVPR 2021 Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon

AAAI 2021 Show, Attend and Distill: Knowledge Distillation via Attention-Based Feature Matching Mingi Ji, Byeongho Heo, Sungrae Park

AAAI 2020 Sequential Recommendation with Relation-Aware Kernelized Self-Attention Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon

AAAI 2019 Adversarial Dropout for Recurrent Neural Networks Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon

AAAI 2019 Hierarchical Context Enabled Recurrent Neural Network for Recommendation Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon