yukyunglee
Postdoc @ Boston University | Prev: KoreaUniv, NAVER | Interests: Writing with AI, Evaluation, Conversational AI, Anomaly Detection
Korea University DSBA Lab.Boston
Pinned Repositories
2019_INFORMS_Student_Competition
The 2019 Competition problem will ask student teams to look into the future, helping GM analyze how autonomous vehicles may change the finished vehicle and delivery operation process. The problem involves designing a vehicle delivery network, including the routing for each plant-dealer-vehicle combination. The objective is to minimize total costs while satisfying all constraints. Students will be provided with GM datasets, as well as a description of key assumptions, defined output formats for the report, clear evaluation criteria, and references.
Awesome-Dialogue-State-Tracking
Dialogue State Tracking (DST) Papers, Datasets, Resources ๐คฉ
detr
End-to-End Object Detection with Transformers paper, code review (KoreaUniv. AAA739)
KUDataOutlier
์ด์์น ํ์ง ์ ์ฒ๋ฆฌ ๋ชจ๋
LG_ES_Transformer
LG ์๋์ง์๋ฃจ์ Transformer ์ค์ต์๋ฃ (Transformer๊ธฐ๋ฐ ์ด์์น ํ์ง)
Multi2OIE
Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)
RAPID
RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information
Transformer_Survey_Study
"A survey of Transformer" paper study ๐ฉ๐ปโ๐ป๐ง๐ปโ๐ป KoreaUniv. DSBA Lab
transformers-resources
huggingface transformers tutorial, code, resources
yukyunglee.github.io
yukyunglee's Repositories
yukyunglee/Transformer_Survey_Study
"A survey of Transformer" paper study ๐ฉ๐ปโ๐ป๐ง๐ปโ๐ป KoreaUniv. DSBA Lab
yukyunglee/Awesome-Dialogue-State-Tracking
Dialogue State Tracking (DST) Papers, Datasets, Resources ๐คฉ
yukyunglee/transformers-resources
huggingface transformers tutorial, code, resources
yukyunglee/LG_ES_Transformer
LG ์๋์ง์๋ฃจ์ Transformer ์ค์ต์๋ฃ (Transformer๊ธฐ๋ฐ ์ด์์น ํ์ง)
yukyunglee/detr
End-to-End Object Detection with Transformers paper, code review (KoreaUniv. AAA739)
yukyunglee/yukyunglee.github.io
yukyunglee/2019_INFORMS_Student_Competition
The 2019 Competition problem will ask student teams to look into the future, helping GM analyze how autonomous vehicles may change the finished vehicle and delivery operation process. The problem involves designing a vehicle delivery network, including the routing for each plant-dealer-vehicle combination. The objective is to minimize total costs while satisfying all constraints. Students will be provided with GM datasets, as well as a description of key assumptions, defined output formats for the report, clear evaluation criteria, and references.
yukyunglee/KUDataOutlier
์ด์์น ํ์ง ์ ์ฒ๋ฆฌ ๋ชจ๋
yukyunglee/brunch-article-recommendation-GoldenPass
GoldenPass ํ์ ์นด์นด์ค ์๋ ๋ "๋ธ๋ฐ์น ์ฌ์ฉ์๋ฅผ ์ํ ๊ธ ์ถ์ฒ ๋ํ"์ ์ต์ข ์ ์ถ ์ฝ๋์ ๋๋ค.
yukyunglee/Deeplearningbook_Study
Deeplearningbook(Ian Goodfellow) group study in DSBA
yukyunglee/Drone_surveillance_system
yukyunglee/Multi2OIE
Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)
yukyunglee/RAPID
RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information
yukyunglee/DensePhrases
ACL'2021: Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624
yukyunglee/dst-resources
Various dst model re-implementation codes, resources, etc.
yukyunglee/GoldenPass_Study
์คํฐ๋ ๊ทธ๋ฃน GoldenPass์์ ๊ณต๋ถํ๋ ๋ด์ฉ์ ์ ๋ฆฌํด๋๋ repo.
yukyunglee/KoBERTScore
BERTScore for Korean
yukyunglee/KUDataClassification
yukyunglee/KUDataForecasting
yukyunglee/KUDataRegression
yukyunglee/KUDataRepresentation
yukyunglee/LG_ES_CNN_2
LG ์๋์ง์๋ฃจ์ CNN Part 2 ์ค์ต์๋ฃ
yukyunglee/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
yukyunglee/NAVER-AI-RUSH-2019
yukyunglee/PreSumm
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
yukyunglee/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
yukyunglee/season2
Jiphyeonjeon Season 2
yukyunglee/som-dst
SOM-DST: Efficient Dialogue State Tracking by Selectively Overwriting Memory (ACL 2020)
yukyunglee/t5-dst-modified-pytorch
Modified version of T5-DST for Dialogue State Tracking.
yukyunglee/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities