Kim, J.-H., Kim, Y., Lee, J., Yoo, K. M., & Lee, S.-W. (2022). Mutual Information Divergence: A Unified Metric for Multimodal Generative Models. ArXiv Preprint ArXiv:2205.13445.
Kim, J.-H., Jun, J., & Zhang, B.-T. (2018). Bilinear Attention Networks. Advances in Neural Information Processing Systems 31 (NeurIPS).
Kim, J.-H., On, K. W., Lim, W., Kim, J., Ha, J.-W., & Zhang, B.-T. (2017, October). Hadamard Product for Low-rank Bilinear Pooling. The 5th International Conference on Learning Representations (ICLR).

R. Yamamoto, E. Song, J.-M. Kim, “Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram, Proc. ICASSP, 2020, pp. 6194-6198.

E. Song, F. K. Soong, H.-G. Kang, “Effective spectral and excitation modeling techniques for LSTM-RNN-based speech synthesis systems,” IEEE/ACM Trans. Audio, Speech, and Lang. Process., vol. 25, no. 11, pp. 2152–2161, 2017."

Data augmentation for spoken language understanding via joint variational generation

Variational autoencoded regression: high dimensional regression of visual data on complex manifold

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features, ICCV'21

Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh IEEE International Conference on Computer Vision (ICCV), 2021

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights Byeongho Heo*, Sanghyuk Chun*, Seong Joon Oh, Dongyoon Han, Sangdoo Yun,  Gyuwan Kim, Youngjung Uh, Jung-Woo Ha International Conference on Learning Representations (ICLR), 2021

A Comprehensive Overhaul of Feature Distillation Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, and Jin Young Choi IEEE International Conference on Computer Vision (ICCV), 2019