| Joint active feature acquisition and classification with variable-size set encoding H Shim, SJ Hwang, E Yang Advances in neural information processing systems 31, 2018 | 77 | 2018 |
| Graph transplant: Node saliency-guided graph mixup with local structure preservation J Park, H Shim, E Yang Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7966-7974, 2022 | 46 | 2022 |
| Diffusion video autoencoders: Toward temporally consistent face video editing via disentangled video encoding G Kim, H Shim, H Kim, Y Choi, J Kim, E Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
| Why pay more when you can pay less: A joint learning framework for active feature acquisition and classification H Shim, SJ Hwang, E Yang arXiv preprint arXiv:1709.05964, 2017 | 12 | 2017 |
| Sgem: Test-time adaptation for automatic speech recognition via sequential-level generalized entropy minimization C Kim, J Park, H Shim, E Yang arXiv preprint arXiv:2306.01981, 2023 | 8 | 2023 |
| Fighting fire with fire: contrastive debiasing without bias-free data via generative bias-transformation Y Jung, H Shim, JY Yang, E Yang International Conference on Machine Learning, 15435-15450, 2023 | 1 | 2023 |
| Machine-learning model for the prediction of hypoxaemia during endoscopic retrograde cholangiopancreatography under monitored anaesthesia care H Kang, B Lee, JH Jo, HS Lee, JY Park, S Bang, SW Park, SY Song, ... Yonsei medical journal 64 (1), 25, 2023 | 1 | 2023 |
| Mutually-constrained monotonic multihead attention for online asr J Song, H Shim, E Yang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 1 | 2021 |
| Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR J Song, H Shim, E Yang 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | | 2021 |
