Browse "RIMS Conference Papers" by Author Yang, Eunho

Showing results 1 to 21 of 21

1
Attribution Preservation in Network Compression for Reliable Network Interpretation

Park, GeonDo; Yang, June Yong; Hwang, Sung Ju; Yang, Eunho, Advances in Neural Information Processing Systems, NeurIPS 2020, Neural Information Processing Systems, 2020-12-07

2
Cost-effective Interactive Attention Learning with Neural Attention Processes

Heo, Jay; Park, Joonhyun; Hyewon, Jeong; Kim, Kwangjoon; Lee, Juho; Yang, Eunho; Hwang, Sung Ju, 37th International Conference on Machine Learning, ICML 2020, pp.4176 - 4186, International Conferences on Machine Learning, 2020-07-14

3
Deep Asymmetric Multi-Task Feature Learning

Lee, Hae Beom; Yang, Eunho; Hwang, Sung Ju, 35th International Conference on Machine Learning, ICML 2018, pp.4609 - 4619, International Machine Learning Society (IMLS), 2018-07-12

4
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare

Chung, Ingyo; Kim, Saehoon; Lee, Juho; Kim, Kwang Joon; Hwang, Sung Ju; Yang, Eunho, 34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.3649 - 3657, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2020-02-07

5
Dropmax: Adaptive Stochastic Softmax

Lee, Hae Beom; Lee, Juho; Kim, Saehoon; Yang, Eunho; Hwang, Sung Ju, Thirty-second Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2018-12-04

6
DropMax: Adaptive Variational Softmax

Lee, Hae Beom; Lee, Juho; Kim, Saehoon; Yang, Eunho; Hwang, Sung Ju, 32nd Conference on Neural Information Processing Systems (NIPS), NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), 2018-12

7
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

8
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

9
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

10
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

11
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

12
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

13
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

14
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

15
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

16
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

17
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

18
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

19
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

20
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

21
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

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