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Mingi Ji
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2020 – today
- 2024
- [c10]Jaeseong Lee, Seung-won Hwang, Wonpyo Park, Mingi Ji:
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models. EMNLP 2024: 10097-10107 - [c9]Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song:
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging. ICML 2024 - [i8]Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song:
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging. CoRR abs/2406.12837 (2024) - 2022
- [c8]Teakgyu Hong, Donghyun Kim
, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park:
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents. AAAI 2022: 10767-10775 - [c7]JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon:
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. NeurIPS 2022 - [i7]JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon:
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. CoRR abs/2206.07551 (2022) - 2021
- [c6]Mingi Ji, Byeongho Heo, Sungrae Park:
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. AAAI 2021: 7945-7952 - [c5]Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon:
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. CVPR 2021: 10664-10673 - [i6]Mingi Ji, Byeongho Heo, Sungrae Park:
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. CoRR abs/2102.02973 (2021) - [i5]Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon:
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. CoRR abs/2103.08273 (2021) - [i4]Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park:
BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents. CoRR abs/2108.04539 (2021) - 2020
- [c4]Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. AAAI 2020: 4304-4311
2010 – 2019
- 2019
- [c3]Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. AAAI 2019: 4699-4706 - [c2]Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context Enabled Recurrent Neural Network for Recommendation. AAAI 2019: 4983-4991 - [i3]Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. CoRR abs/1904.09816 (2019) - [i2]Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context enabled Recurrent Neural Network for Recommendation. CoRR abs/1904.12674 (2019) - [i1]Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. CoRR abs/1911.06478 (2019) - 2018
- [c1]Seongcheol Woo, Juneyeong Yeon, Mingi Ji, Il-Chul Moon, Jinkyoo Park:
Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve an Earthwork Scheduling Problem. SMC 2018: 4236-4242
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last updated on 2025-01-09 13:04 CET by the dblp team
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