Quantifying generalization in reinforcement learning K Cobbe, O Klimov, C Hesse, T Kim, J Schulman International conference on machine learning, 1282-1289, 2019 | 678 | 2019 |
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 | 22 | 2019 |
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks" T Kim Software available at https://github. com/carpedm20/DCGAN-tensorflow, 2017 | 20* | 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 | 19 | 2015 |
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 | 11 | 2016 |
Reading Documents for Bayesian Online Change Point Detection T Kim, J Choi EMNLP 2015, 2015 | 4 | 2015 |
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 | 3 | 2018 |