Publications

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

[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]

Efficient Approximate Inference for Stationary Kernel on Frequency Domain.pdf
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

[paper] [code]

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]

Graph Perceiver IO: A General Architecture for Graph Structured Data

Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song

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

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon

[paper]

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]

Shortcut learning in Machine Learning: Challenges, Analysis, Solutions

Sanghyuk Chun, Kyungwoo Song, Yonghan Jung

FAccT 2022 Translation/Dialogue Tutorial

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