Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDEunho Yang
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2020
[c43]Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. AAAI 2020: 3649-3657- [c42]Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR 2020 - [c41]Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Latent Features for Generalization. ICLR 2020 - [c40]Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks. ICLR 2020 - [c39]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR 2020 - [c38]Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang:
Cost-Effective Interactive Attention Learning with Neural Attention Processes. ICML 2020: 4228-4238 - [c37]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. NeurIPS 2020 - [c36]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS 2020 - [c35]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS 2020 - [c34]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. NeurIPS 2020 - [c33]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping neural processes. NeurIPS 2020 - [c32]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. NeurIPS 2020 - [i32]Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Adaptive Parameter Communication. CoRR abs/2003.03196 (2020) - [i31]Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang:
Cost-effective Interactive Attention Learning with Neural Attention Processes. CoRR abs/2006.05419 (2020) - [i30]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency. CoRR abs/2006.12097 (2020) - [i29]Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. CoRR abs/2006.12139 (2020) - [i28]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. CoRR abs/2006.12777 (2020) - [i27]Tuan A. Nguyen, Bruno Andreis, Juho Lee, Eunho Yang, Sung Ju Hwang:
Stochastic Subset Selection. CoRR abs/2006.14222 (2020) - [i26]Kyung-Su Kim, Jung Hyun Lee, Eunho Yang:
Compressed Sensing via Measurement-Conditional Generative Models. CoRR abs/2007.00873 (2020) - [i25]Kyung-Su Kim, Aurélie C. Lozano, Eunho Yang:
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks. CoRR abs/2007.00884 (2020) - [i24]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR abs/2007.07358 (2020) - [i23]Jihun Yun, Aurelie C. Lozano, Eunho Yang:
A General Family of Stochastic Proximal Gradient Methods for Deep Learning. CoRR abs/2007.07484 (2020) - [i22]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR abs/2007.08844 (2020) - [i21]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. CoRR abs/2007.11362 (2020) - [i20]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR abs/2007.12020 (2020) - [i19]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. CoRR abs/2008.02953 (2020) - [i18]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping Neural Processes. CoRR abs/2008.02956 (2020) - [i17]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. CoRR abs/2010.15054 (2020)
2010 – 2019
- 2019
- [c31]Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang:
Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) 2019 - [c30]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. ICML 2019: 5052-5061 - [c29]Jihun Yun, Peng Zheng, Eunho Yang, Aurelie C. Lozano, Aleksandr Y. Aravkin:
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning. ICML 2019: 7242-7251 - [i16]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
ORACLE: Order Robust Adaptive Continual LEarning. CoRR abs/1902.09432 (2019) - [i15]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. CoRR abs/1905.05348 (2019) - [i14]Jihun Yun, Aurelie C. Lozano, Eunho Yang:
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation. CoRR abs/1905.10757 (2019) - [i13]Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Features for Generalization. CoRR abs/1905.12914 (2019) - [i12]Donghyun Na, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR abs/1905.12917 (2019) - [i11]Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang:
Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. CoRR abs/1906.00150 (2019) - [i10]Sungyub Kim, Yongsu Baek, Sung Ju Hwang, Eunho Yang:
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck. CoRR abs/1906.03118 (2019) - [i9]Jihun Yun, Jung Hyun Lee, Sung Ju Hwang, Eunho Yang:
Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization. CoRR abs/1911.12990 (2019) - 2018
- [c28]Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. ICLR (Poster) 2018 - [c27]Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Deep Asymmetric Multi-task Feature Learning. ICML 2018: 2962-2970 - [c26]Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS 2018: 917-926 - [c25]Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
DropMax: Adaptive Variational Softmax. NeurIPS 2018: 927-937 - [c24]Hajin Shim, Sung Ju Hwang, Eunho Yang:
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding. NeurIPS 2018: 1375-1385 - [i8]Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR abs/1805.09653 (2018) - [i7]Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR abs/1805.10896 (2018) - [i6]Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang:
Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. CoRR abs/1806.01551 (2018) - 2017
- [c23]Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar:
Ordinal Graphical Models: A Tale of Two Approaches. ICML 2017: 3260-3269 - [c22]Eunho Yang, Aurélie C. Lozano:
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity. ICML 2017: 3911-3920 - [c21]Meghana Kshirsagar, Eunho Yang, Aurélie C. Lozano:
Learning Task Clusters via Sparsity Grouped Multitask Learning. ECML/PKDD (2) 2017: 673-689 - [i5]Sejun Park, Eunho Yang, Jinwoo Shin:
Sequential Local Learning for Latent Graphical Models. CoRR abs/1703.04082 (2017) - [i4]Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Deep Asymmetric Multi-task Feature Learning. CoRR abs/1708.00260 (2017) - [i3]Jeongtae Lee, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. CoRR abs/1708.01547 (2017) - [i2]Hajin Shim, Sung Ju Hwang, Eunho Yang:
Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification. CoRR abs/1709.05964 (2017) - [i1]Haebeom Lee, Juho Lee, Eunho Yang, Sung Ju Hwang:
DropMax: Adaptive Stochastic Softmax. CoRR abs/1712.07834 (2017) - 2016
- [j2]Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Matthew Anderson
, Zhandong Liu:
XMRF: an R package to fit Markov Networks to high-throughput genetics data. BMC Syst. Biol. 10(S-3): 69 (2016) - [c20]Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Asymmetric Multi-task Learning based on Task Relatedness and Confidence. ICML 2016: 230-238 - 2015
- [j1]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Graphical models via univariate exponential family distributions. J. Mach. Learn. Res. 16: 3813-3847 (2015) - [c19]Eunho Yang, Aurelie C. Lozano, Pradeep Ravikumar:
Closed-form Estimators for High-dimensional Generalized Linear Models. NIPS 2015: 586-594 - [c18]Eunho Yang, Aurelie C. Lozano:
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso. NIPS 2015: 2602-2610 - 2014
- [c17]Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Mixed Graphical Models via Exponential Families. AISTATS 2014: 1042-1050 - [c16]Eunho Yang, Aurelie C. Lozano, Pradeep Ravikumar:
Elementary Estimators for High-Dimensional Linear Regression. ICML 2014: 388-396 - [c15]Eunho Yang, Aurelie C. Lozano, Pradeep Ravikumar:
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments. ICML 2014: 397-405 - [c14]Eunho Yang, Aurelie C. Lozano, Pradeep Ravikumar:
Elementary Estimators for Graphical Models. NIPS 2014: 2159-2167 - 2013
- [c13]Eunho Yang, Ambuj Tewari, Pradeep Ravikumar:
On Robust Estimation of High Dimensional Generalized Linear Models. IJCAI 2013: 1834-1840 - [c12]Eunho Yang, Pradeep Ravikumar:
Dirty Statistical Models. NIPS 2013: 611-619 - [c11]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Conditional Random Fields via Univariate Exponential Families. NIPS 2013: 683-691 - [c10]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
On Poisson Graphical Models. NIPS 2013: 1718-1726 - 2012
- [c9]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Graphical Models via Generalized Linear Models. NIPS 2012: 1367-1375 - [c8]Eunho Yang, Ambuj Tewari, Pradeep Ravikumar:
Perturbation based Large Margin Approach for Ranking. AISTATS 2012: 1358-1366 - 2011
- [c7]Eunho Yang, Pradeep Ravikumar:
On the Use of Variational Inference for Learning Discrete Graphical Model. ICML 2011: 1009-1016 - [c6]Pradeep Ravikumar, Ambuj Tewari, Eunho Yang:
On NDCG Consistency of Listwise Ranking Methods. AISTATS 2011: 618-626
2000 – 2009
- 2009
- [c5]Jimyung Kang, Eunho Yang, Youngjin Park, Soonwoo Lee, Yonghwa Kim, Kwanho Kim:
Selfish retransmission protocol in an IR-UWB system. ICOIN 2009: 1-5 - [c4]Sunglim Lee, Koji Okamura, Eunho Yang:
Tele-conference using advanced tool on future IP. ICOIN 2009: 1-3 - 2008
- [c3]Sunglim Lee, Koji Okamura, Eunho Yang:
The Bandwidth Feasibility Test Method for Ubiquitous Teleconference on Future Internet. ISPA 2008: 790-794 - [c2]Eunho Yang, Jaehyuk Choi, Sunglim Lee:
On selfish behavior using asymmetric carrier sensing in IEEE 802.11 wireless networks. LCN 2008: 527-529 - 2006
- [c1]Eunho Yang, Seong-il Hahm, Seongho Cho, Chong-kwon Kim, Pillwoo Lee:
EIMD: A New Congestion Control for Fast Long-Distance Networks. ICOIN 2006: 379-388
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2021-01-21 00:28 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
