JoonHo Jang

According to our database, JoonHo Jang authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Training Unbiased Diffusion Models From Biased Dataset.

Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon

CoRR, 2024

2023

SAAL: Sharpness-Aware Active Learning.

Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2023

Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy.

Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the International Conference on Machine Learning, 2022

2021

LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning.

Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder.

Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning.

Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon

CoRR, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Bivariate Beta-LSTM.

Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020