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2020 – today
- 2024
[c7]Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon:
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. AAAI 2024: 11552-11560- [i8]Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon:
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. CoRR abs/2401.06799 (2024) - 2023
- [j4]Dongjun Kim
, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo:
Sequential Likelihood-Free Inference with Neural Proposal. Pattern Recognit. Lett. 169: 102-109 (2023) - [c6]Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon:
Loss-Curvature Matching for Dataset Selection and Condensation. AISTATS 2023: 8606-8628 - [i7]Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon:
Loss-Curvature Matching for Dataset Selection and Condensation. CoRR abs/2303.04449 (2023) - 2022
- [j3]Hyeongwoo Kong, Wonje Yun, Weonyoung Joo, Ju-Hyun Kim, Kyoung-Kuk Kim, Il-Chul Moon, Woo Chang Kim:
Constructing a personalized recommender system for life insurance products with machine-learning techniques. Intell. Syst. Account. Finance Manag. 29(4): 242-253 (2022) - 2021
- [c5]Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon:
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. AAAI 2021: 8128-8136 - 2020
- [j2]Ilkyoo Choi, Weonyoung Joo, Minki Kim:
The layer number of α-evenly distributed point sets. Discret. Math. 343(10): 112029 (2020) - [j1]Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon:
Dirichlet Variational Autoencoder. Pattern Recognit. 107: 107514 (2020) - [c4]Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. AAAI 2020: 4304-4311 - [c3]Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon:
Deep Generative Positive-Unlabeled Learning under Selection Bias. CIKM 2020: 1155-1164 - [c2]Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon:
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. EMNLP (Findings) 2020: 3126-3140 - [i6]Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon:
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables. CoRR abs/2003.01847 (2020) - [i5]Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon:
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. CoRR abs/2004.03133 (2020) - [i4]Dongjun Kim, Weonyoung Joo, Seungjae Shin, Il-Chul Moon:
Adversarial Likelihood-Free Inference on Black-Box Generator. CoRR abs/2004.05803 (2020) - [i3]Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon:
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. CoRR abs/2011.11878 (2020)
2010 – 2019
- 2019
- [i2]Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon:
Dirichlet Variational Autoencoder. CoRR abs/1901.02739 (2019) - [i1]Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. CoRR abs/1911.06478 (2019) - 2018
- [c1]Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon:
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. ICDM 2018: 1104-1109
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