Weonyoung Joo

Orcid: 0000-0003-3544-6961

According to our database1, Weonyoung Joo authored at least 13 papers between 2018 and 2024.

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Bibliography

2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sequential Likelihood-Free Inference with Neural Proposal.
Pattern Recognit. Lett., May, 2023

Loss-Curvature Matching for Dataset Selection and Condensation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Constructing a personalized recommender system for life insurance products with machine-learning techniques.
Intell. Syst. Account. Finance Manag., 2022

2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Dirichlet Variational Autoencoder.
Pattern Recognit., 2020

The layer number of α-evenly distributed point sets.
Discret. Math., 2020

Adversarial Likelihood-Free Inference on Black-Box Generator.
CoRR, 2020

Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables.
CoRR, 2020

Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Deep Generative Positive-Unlabeled Learning under Selection Bias.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Sequential Recommendation with Relation-Aware Kernelized Self-Attention.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2018


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