Publications
Peer-Reviewed Papers
Leveraging Skill-to-Skill Supervision for Knowledge Tracing
Hyeondey Kim, Yun Jegal, Jinwoo Nam, Minjae Lee, Kyungwoo Song
AAAI 2023 Workshop AI4Edu
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon
NeurIPS 2022
[paper]
Improving Group-based Robustness and Calibration via Ordered Risk and Confidence Regularization
Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, Il-chul Moon
ICML 2022 Workshop SCIS
[paper]
Learning Fair Representation via Distributional Contrastive Disentanglement
Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
KDD 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
HeeSun Bae, Seungjae Shin, JoonHo Jang, Byeonghu Na, Kyungwoo Song, Il-Chul Moon
ICML 2022
[paper]
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-chul Moon
ICML 2022
[paper]
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
Yohan Jung, Kyungwoo Song, Jinkyoo Park
ICML 2022
[paper]
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
Yooon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-chul Moon
NeurIPS 2021
[paper]
Implicit Kernel Attention
Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon
AAAI 2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon.
AAAI 2021
[paper]
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation
Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon
Findings of EMNLP 2020
[paper]
Deep Generative Positive-Unlabeled Learning under Selection Bias
ByeongHu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoonyeong Kim, Il-Chul Moon
CIKM 2020
[paper]
Context Aware Sequence Modeling
Kyungwoo Song
IJCAI 2020 Doctoral Consortium
[paper]
Bivariate Beta-LSTM
Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon
AAAI 2020
[paper] [code]
Hierarchically Clustered Representation Learning
Su-Jin Shin, Kyungwoo Song, Il-Chul Moon
AAAI 2020
[paper]
Sequential Recommendation with Relation-Aware Kernelized Self-Attention
Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoonyeong Kim, Il-Chul Moon
AAAI 2020
[paper]
Hierarchical Context enabled Recurrent Neural Network for Recommendation
Kyungwoo Song*, Mingi Ji*, Sungrae Park, Il-Chul Moon
AAAI 2019
[paper] [code]
Adversarial Dropout for Recurrent Neural Networks
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
AAAI 2019
[paper] [code]
Ballistic Coefficient Estimation with Gaussian Process Particle Filter
Il-Chul Moon, Jinhyung Tak, Sang-Hyeon Kim, Kyungwoo Song
ICCAS 2018
[paper]
Neural Ideal Point Estimation Network
Kyungwoo Song, Wonsung Lee, Il-Chul Moon
AAAI 2018
[paper] [code]
State Prediction of High-speed Ballistic Vehicles with Gaussian Process
Il-Chul Moon, Kyungwoo Song, Sang-Hyeon Kim, Han-Lim Choi
IJCAS 2018
[paper]
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information
Wonsung Lee, Kyungwoo Song, Il-Chul Moon
CIKM 2017
[paper]
Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles
Kyungwoo Song, Sang-Hyeon Kim, Jinhyung Tak, Han-Lim Choi, Il-Chul Moon
FUSION 2016
[paper] [slide]
Identifying the evolution of disasters and responses with network-text analysis
Kyungwoo Song, Do-Hyeong Kim, Su-Jin Shin, Il-Chul Moon
SMC 2014
[paper] [slide]
Under Review
Self-supervised classification for functional data
Hyeji Hwang, SoonSun Kwon, Jeongyoun Ahn, Cheolwoo Park, Kyungwoo Song, Hosik Choi
Multi-modal Learning for Social Event Analysis
Changdae Oh, Hoyoon Byun, Minhoi Park, Yongtaek Lim, Sunjae Kim, Yongwoo Moon, Kyungwoo Song
Interpolation-based Training-free Out-of-distribution Detection
Hee-young Lee, Changdae Oh, Hoyoon Byun, Kyungwoo Song
Robust Optimization for PPG-based Pressure Estimation
Sungjun Lim*, Taero Kim*, Hyeonjeong Lee* Yewon Kim, Minhoi Park, Kwang-Yong Kim, Minseong Kim, Kyu Hyung Kim, Kyungwoo Song
RPLKG: Robust Prompt Learning with Knowledge Graph
Yewon Kim*, YongTaek Lim*, Dokyung Youn, Kyungwoo Song
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
Changdae Oh, Hyeji Hwang, Hee-young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
Multi-purpose Technology Commercialization Recommender System with Large-scale Korean Language Model
Hyeji Hwang*, Yongtaek Lim*, Changdae Oh*, Seungyeon Kim, Eunkyeong Lee, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo Song
TC-BERT: Large-scale Language Model for Korean Technology Documents
Hyeji Hwang*, Changdae Oh*, Eunkyeong Lee, Taero Kim, Yewon Kim, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo Song
Sharpness-aware Minimization for Worst Case Optimization
Taero Kim, Sungjun Lim, Kyungwoo Song
[paper]
GFML: Gravity Function for Metric Learning
Hoyoon Byun, Sungjun Lim, Kyungwoo Song
Robust Contrastive Learning with Dynamic Mixed Margin
Junhyuk So*, Yongtaek Lim*, Yewon Kim*, Changdae Oh, Kyungwoo Song
SAAL: Sharpness-Aware Active Learning
Yoon-Yeong Kim, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-chul Moon
Graph Perceiver IO: A General Architecture for Graph Structured Data
Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song
[paper]
Decoupling Homophily and Transitivity via Multiple Choice Variational Graph Auto-Encoder for Link Prediction
Yoon-Sik Cho, Kyungwoo Song
COVID-19 Infection Inference with Graph Neural Networks
Kyungwoo Song, Hojun Park, Junggu Lee, Arim Kim, Jaehun Jung
Geodesic Multi-Modal Mixup for Robust Fine-tuning
Junhyuk So, Changdae Oh, YongTaek Lim, Hoyoon Byun, Minchul Shin, Kyungwoo Song
[paper]
Dirichlet Stochastic Weights Averaging for Graph Neural Networks
Minhoi Park, Kyungwoo Song
D2CL: Dataset Distillation for Continual Learning
DongHyeok Shin, JoonHo Jang, Byeonghu Na, Kyungwoo Song, Il-Chul Moon
Posterior-Aided Regularization for Likelihood-Free Inference
Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon
[paper]
Sequential Likelihood-Free Inference with Implicit Surrogate Proposal
Dongjun Kim, Kyungwoo Song, Yoonyeong Kim, Yongjin Shin, Il-Chul Moon
[paper]
Adversarial Likelihood-Free Inference on Black-Box Generator
Dongjun Kim, Weonyoung Joo, Seungjae Shin, Kyungwoo Song, Il-Chul Moon
[paper]
Tutorial
Shortcut learning in Machine Learning: Challenges, Analysis, Solutions
Sanghyuk Chun, Kyungwoo Song, Yonghan Jung
FAccT 2022 Translation/Dialogue Tutorial
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