Publications
Peer-Reviewed Papers
Learning Fair Representation via Distributional Contrastive Disentanglement
Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
KDD 2022
[paper]
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]
Approximate Inference for Spectral Mixture Kernel
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
COVID-19 Infection Inference with Graph Neural Networks
Kyungwoo Song, Hojun Park, Junggu Lee, Arim Kim, Jaehun Jung
Multi-Modal Mixup for Robust Fine-tuning
Junhyuk So, Changdae Oh, 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
Ordered Risk and Confidence Regularization for Robust Training from Biased Dataset
Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, Il-chul Moon
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, 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