Bivariate Beta-LSTM. - Kyungwoo Song; JoonHo Jang; Seungjae Shin; Il-Chul Moon (AAAI, 2020)

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 (EMNLP (Findings), 2020)

LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning. - Yoon-Yeong Kim; Kyungwoo Song; JoonHo Jang; Il-Chul Moon (CoRR, 2020)

Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model. - JoonHo Jang; Seungjae Shin; Hyunjin Lee; Il-Chul Moon (Sensors, 2020)

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)

LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning. - Yoon-Yeong Kim; Kyungwoo Song; JoonHo Jang; Il-Chul Moon (NeurIPS, 2021)

From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. - HeeSun Bae; Seungjae Shin; Byeonghu Na; JoonHo Jang; Kyungwoo Song; Il-Chul Moon (ICML, 2022)

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)

Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. - Suhyeon Jo; DongHyeok Shin; Byeonghu Na; JoonHo Jang; Il-Chul Moon (CIKM, 2023)

SAAL: Sharpness-Aware Active Learning. - Yoon-Yeong Kim; Youngjae Cho; JoonHo Jang; Byeonghu Na; Yeongmin Kim; Kyungwoo Song; Wanmo Kang; Il-Chul Moon (ICML, 2023)

Training Unbiased Diffusion Models From Biased Dataset. - Yeongmin Kim; Byeonghu Na; Minsang Park; JoonHo Jang; Dongjun Kim; Wanmo Kang; Il-Chul Moon (ICLR, 2024)