Browse "RIMS Conference Papers" by Author Hwang, Sung Ju

Showing results 1 to 35 of 35

1
Accurate Learning of Graph Representations with Graph Multiset Pooling

Baek, Jinheon; Kang, Minki; Hwang, Sung Ju, The Ninth International Conference on Learning Representations, The International Conference on Learning Representations (ICLR), 2021-05-03

2
Adversarial Neural Pruning with Latent Vulnerability Suppression

Madaan, Divyam; Shin, Jinwoo; Hwang, Sung Ju, 37th International Conference on Machine Learning, ICML 2020, ICML, 2020-07-15

3
Adversarial Self-Supervised Contrastive Learning

Kim, Minseon; Tack, Jihoon; Hwang, Sung Ju, Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, NeurIPS, 2020-12-06

4
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

5
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation

Lee, Seanie; Lee, Dong Bok; Hwang, Sung Ju, Ninth International Conference on Learning Representation, ICLR 2021, The International Conference on Learning Representations, 2021-05-03

6
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

7
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

8
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

9
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

10
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

11
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data

Han, Moonsu; Kang, Min Ki; Jung, Hyun Woo; Hwang, Sung Ju, 57th Annual Meeting of the Association-for-Computational-Linguistics (ACL), pp.1 - 18, Association for Computational Linguistics(ACL), 2019-07-30

12
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

13
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

14
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

15
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

Lee, Dong Bok; Lee, Seanie; Jeong, Woo Tae; Kim, Donghwan; Hwang, Sung Ju, 58th Annual Meeting of the Association-for-Computational-Linguistics (ACL), pp.208 - 224, ACL, 2020-07-05

16
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

Lee, Dong Bok; Lee, Seanie; Jeong, Woo Tae; Kim, Donghwan; Hwang, Sung Ju, The 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, 2020-06-19

17
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

18
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction

Baek, Jinheon; Lee, Dong Bok; Hwang, Sung Ju, The 34th Conference on Neural Information Processing Systems, NeurIPS 2020, Neural information processing systems foundation, 2020-12-07

19
Learning to perturb word embeddings for out-of-distribution QA

Lee, Seanie; Kang, Minki; Lee, Juho; Hwang, Sung Ju, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics (ACL) and Asian Federation of Natural Language Processing (AFNLP), 2021-08-02

20
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

21
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

22
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

23
Meta-GMVAE: Mixture of Gaussin VAE for Unsupervised Meta-Learning

Lee, Dong Bok; Min, Dongchan; Lee, Seanie; Hwang, Sung Ju, Ninth International Conference on Learning Representation, ICLR 2021, The International Conference on Learning Representations, 2021-05-03

24
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs

Kye, Seong Min; Jung, Youngmoon; Lee, Hae Beom; Hwang, Sung Ju; Kim, Hoi-Rin, Interspeech 2020, pp.2982 - 2986, ISCA, 2020-10-28

25
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

26
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures

Ryu, Jeongun; Shin, Jaewoong; Lee, Hae Beom; Hwang, Sung Ju, Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, NeurIPS, 2020-12-06

27
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures

Ryu, Jeong Un; Shin, JaeWoong; Lee, Hae Beom; Hwang, Sung Ju, The 34th Conference on Neural Information Processing Systems, NeurIPS 2020, Neural information processing systems foundation, 2020-12-07

28
Mini-Batch Consistent Slot Set Encoder For Scalable Set Encoding

Bruno, Andreis; Willette, Jeffrey Ryan; Lee, Juho; Hwang, Sung Ju, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-08

29
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

30
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets

LEE, HAYEON; Hyung, Eunyoung; Hwang, Sung Ju, The Ninth International Conference on Learning Representations, The International Conference on Learning Representations (ICLR), 2021-05-03

31
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

32
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

33
Self-supervised Label Augmentation via Input Transformations

Lee, Hankook; Hwang, Sung Ju; Shin, Jinwoo, 37th International Conference on Machine Learning, ICML 2020, ICML 2020 committee, 2020-07-15

34
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

35
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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