Taehoon Kim
Taehoon Kim
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Quantifying generalization in reinforcement learning
K Cobbe, O Klimov, C Hesse, T Kim, J Schulman
International Conference on Machine Learning, 1282-1289, 2019
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
T Kim
Software available at https://github. com/carpedm20/DCGAN-tensorflow, 2017
Extracting baseline electricity usage using gradient tree boosting
T Kim, D Lee, J Choi, A Spurlock, A Sim, A Todd, K Wu
2015 IEEE international conference on smart city/socialcom/sustaincom …, 2015
Transfer learning via unsupervised task discovery for visual question answering
H Noh, T Kim, J Mun, B Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
L-verse: Bidirectional generation between image and text
T Kim, G Song, S Lee, S Kim, Y Seo, S Lee, SH Kim, H Lee, K Bae
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Resource-efficient mobile multimedia streaming with adaptive network selection
J Lee, K Lee, C Han, T Kim, S Chong
IEEE Transactions on Multimedia 18 (12), 2517-2527, 2016
Reading Documents for Bayesian Online Change Point Detection
T Kim, J Choi
EMNLP 2015, 2015
Randomized Adversarial Style Perturbations for Domain Generalization
T Kim, B Han
arXiv preprint arXiv:2304.01959, 2023
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
T Kim, M Marsden, P Ahn, S Kim, S Lee, A Sala, SH Kim
arXiv preprint arXiv:2211.06774, 2022
Predicting baseline for analysis of electricity pricing
T Kim, J Choi, D Lee, A Sim, CA Spurlock, A Todd, K Wu
International Journal of Big Data Intelligence 5 (1-2), 3-20, 2018
NICE 2023 Zero-shot Image Captioning Challenge
T Kim, P Ahn, S Kim, S Lee, M Marsden, A Sala, SH Kim, H Lee, K Bae, ...
arXiv preprint arXiv:2309.01961, 2023
Cross-Class Feature Augmentation for Class Incremental Learning
T Kim, J Park, B Han
arXiv preprint arXiv:2304.01899, 2023
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