Showing results 7 to 21 of 21
Federated Semi-supervised Learning with Inter-client Consistency & Disjoint Learning Jeong, Wonyong; Yoon, Jaehong; Yang, Eunho; Hwang, Sung Ju, 9th International Conference on Learning Representations, ICLR 2021, International Conference on Learning Representations, ICLR, 2021-05-03 |
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Jeong, Wonyong; Yoon, Jaehong; Yang, Eunho; Hwang, Sung Ju, International Conference on Learning Representations (ICLR) 2021, International Conference on Learning Representations (ICLR), 2021-05-04 |
FedMix: Approximation of Mixup under Mean Augmented Federated Learning Yoon, Tehrim; Shin, Sumin; Hwang, Sung Ju; Yang, Eunho, The Ninth International Conference on Learning Representations (ICLR), International Conference on Learning Representations (ICLR), 2021-05-04 |
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks 이해범; 이하연; Na, Donghyun; Kim, Saehoon; Park, Minseop; Yang, Eunho; Hwang, Sung Ju, Eighth International Conference on Learning Representations, ICLR 2020, ICLR, 2020-04-27 |
Learning to propagate labels: Transductive propagation network for few-shot learning Liu, Yanbin; Lee, Juho; Park, Minseop; Kim, Saehoon; Yang, Eunho; Hwang, Sung Ju; Yang, Yi, 7th International Conference on Learning Representations, ICLR 2019, International Conference on Learning Representations, ICLR, 2019-05-06 |
Lifelong learning with dynamically expandable networks Yoon, Jaehong; Yang, Eunho; Lee, Jeongtae; Hwang, Sung Ju, 6th International Conference on Learning Representations, ICLR 2018, International Conference on Learning Representations, ICLR, 2018-04-30 |
Meta Dropout: Learning to Perturb Latent Features for Generalization Lee, Hae Beom; Nam, Taewook; Yang, Eunho; Hwang, Sung Ju, Eighth International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, 2020-04-27 |
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation Min, Dongchan; Lee, Dong Bok; Yang, Eunho; Hwang, Sung Ju, 38th International Conference on Machine Learning, ICML 2021, International Machine Learning Society (IMLS), 2021-07-18 |
Multi-domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models Kim, Ho-Gyeong; Lee, Min-joong; Lee, Hoshik; Kang, Tae Gyoon; Lee, Jihyun; Yang, Eunho; Hwang, Sung Ju, INTERSPEECH 2021, pp.1311 - 1315, International Speech Communication Association, 2021-09-01 |
Mutually-Constrained Monotonic Multihead Attention for Online Asr Song, Jaeyun; Shim, Hajin; Yang, Eunho, 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021, pp.6508 - 6512, Institute of Electrical and Electronics Engineers Inc., 2021-06 |
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition Yoon, Jaehong; Kim, Saehoon; Yang, Eunho; Hwang, Sung Ju, Eighth International Conference on Learning Representations, ICLR 2020, ICLR, 2020-04-27 |
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition Yoon, Jaehong; Kim, Saehoon; Yang, Eunho; Hwang, Sung Ju, 8th International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, ICLR, 2020-04-26 |
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning Hong, Youngkyu; Yang, Eunho, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-06 |
Uncertainty-Aware Attention for Reliable Interpretation and Prediction Huh, Jawook; Lee, Hae Beom; Kim, Saehoon; Lee, Juho; Kim, Kwang Joon; Yang, Eunho; Hwang, Sung Ju, 32nd Conference on Neural Information Processing Systems, NeurIPS 2018, pp.909 - 918, Neural information processing systems foundation, 2018-12-04 |
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks Yi, Joonyoung; Lee, Juhyuk; Kim, Kwang Joon; Hwang, Sung Ju; Yang, Eunho, Eighth International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, 2020-04-27 |
Discover