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Seyoung Yun – SeYoung Yun
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- affiliation: Korea Advanced Institute of Science and Technology (KAIST), Graduate School of AI Korea, Daejeon, South Korea
- affiliation: Los Alamos National Laboratory, NM, USA
- affiliation: Microsoft Research, Cambridge, UK
- affiliation: Microsoft Research-INRIA Joint Centre, Paris, France
- affiliation: KTH Royal Institute of Technology, Stockholm, Sweden
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2020 – today
- 2023
[j10]Kyeongryeol Go
, Mingyu Kim, Seyoung Yun:
Meta-Learning Amidst Heterogeneity and Ambiguity. IEEE Access 11: 1578-1592 (2023)- [i58]Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun:
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. CoRR abs/2302.01530 (2023) - [i57]Sumyeong Ahn, Jongwoo Ko, Se-Young Yun:
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition. CoRR abs/2302.05499 (2023) - [i56]Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun:
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2303.01768 (2023) - [i55]Junghyun Lee, Laura Schmid, Se-Young Yun:
Communication-Efficient Collaborative Heterogeneous Bandits in Networks. CoRR abs/2303.05445 (2023) - [i54]Sungnyun Kim, Sangmin Bae, Se-Young Yun:
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CoRR abs/2303.11101 (2023) - 2022
- [j9]Sungnyun Kim, Se-Young Yun:
Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch. IEEE Access 10: 53894-53908 (2022) - [j8]Taehyeon Kim, Se-Young Yun:
Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification. IEEE Access 10: 69741-69749 (2022) - [c43]Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun:
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CIKM 2022: 972-981 - [c42]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM 2022: 4359-4363 - [c41]Jaehoon Oh, Jongwoo Ko, Se-Young Yun:
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. EMNLP 2022: 6747-6754 - [c40]Mingyu Kim, Kyeongryeol Go, Se-Young Yun:
Neural Processes with Stochastic Attention: Paying more attention to the context dataset. ICLR 2022 - [c39]Jaehoon Oh, Sangmook Kim, Se-Young Yun:
FedBABU: Toward Enhanced Representation for Federated Image Classification. ICLR 2022 - [c38]Jung-Hun Kim, Milan Vojnovic, Se-Young Yun:
Rotting Infinitely Many-Armed Bandits. ICML 2022: 11229-11254 - [i53]Jung-Hun Kim, Milan Vojnovic, Se-Young Yun:
Rotting infinitely many-armed bandits. CoRR abs/2201.12975 (2022) - [i52]Jaeyeon Ahn, Taehyeon Kim, Seyoung Yun:
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces. CoRR abs/2202.00893 (2022) - [i51]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR abs/2202.01339 (2022) - [i50]Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun:
SuperNet in Neural Architecture Search: A Taxonomic Survey. CoRR abs/2204.03916 (2022) - [i49]Mingyu Kim, Kyeongryeol Go, Se-Young Yun:
Neural Processes with Stochastic Attention: Paying more attention to the context dataset. CoRR abs/2204.05449 (2022) - [i48]Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun:
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CoRR abs/2205.01310 (2022) - [i47]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CoRR abs/2205.05282 (2022) - [i46]Yujin Kim, Jaehoon Oh, Sungnyun Kim, Se-Young Yun:
Revisiting the Updates of a Pre-trained Model for Few-shot Learning. CoRR abs/2205.07874 (2022) - [i45]Jung-Hun Kim, Se-Young Yun:
Adversarial Bandits Robust to S-Switch Regret. CoRR abs/2205.14839 (2022) - [i44]Sumyeong Ahn, Seongyoon Kim, Se-Young Yun:
Mitigating Dataset Bias by Using Per-sample Gradient. CoRR abs/2205.15704 (2022) - [i43]Taehyeon Kim, Se-Young Yun:
Supernet Training for Federated Image Classification under System Heterogeneity. CoRR abs/2206.01366 (2022) - [i42]Jongwoo Ko, Bongsoo Yi, Se-Young Yun:
ALASCA: Rethinking Label Smoothing for Deep Learning Under Label Noise. CoRR abs/2206.07277 (2022) - [i41]Jaehoon Oh, Se-Young Yun:
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning. CoRR abs/2206.10596 (2022) - [i40]Taehyeon Kim, Heesoo Myeong, Se-Young Yun:
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search. CoRR abs/2206.13130 (2022) - [i39]Jihwan Oh, Joonkee Kim, Se-Young Yun:
Risk Perspective Exploration in Distributional Reinforcement Learning. CoRR abs/2206.14170 (2022) - [i38]Taehyeon Kim, Namgyu Ho, Donggyu Kim, Se-Young Yun:
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction. CoRR abs/2206.15241 (2022) - [i37]Mingyu Kim, Jihwan Oh, Yongsik Lee, Joonkee Kim, Seonghwan Kim, Song Chong, Se-Young Yun:
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions. CoRR abs/2207.02007 (2022) - [i36]Yassir Jedra, Junghyun Lee, Alexandre Proutière, Se-Young Yun:
Nearly Optimal Latent State Decoding in Block MDPs. CoRR abs/2208.08480 (2022) - [i35]Jaehoon Oh, Jongwoo Ko, Se-Young Yun:
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. CoRR abs/2210.09588 (2022) - [i34]Sumyeong Ahn, Se-Young Yun:
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels. CoRR abs/2212.01189 (2022) - [i33]Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun:
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition. CoRR abs/2212.02059 (2022) - [i32]Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun:
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. CoRR abs/2212.03465 (2022) - [i31]Namgyu Ho, Laura Schmid, Se-Young Yun:
Large Language Models Are Reasoning Teachers. CoRR abs/2212.10071 (2022) - 2021
- [j7]Shreyas Sekar, Milan Vojnovic, Se-Young Yun:
A Test Score-Based Approach to Stochastic Submodular Optimization. Manag. Sci. 67(2): 1075-1092 (2021) - [c37]Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun:
BOIL: Towards Representation Change for Few-shot Learning. ICLR 2021 - [c36]Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun, Wanmo Kang:
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis. ICML 2021: 4744-4754 - [c35]Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun:
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. IJCAI 2021: 2628-2635 - [c34]Taehyeon Kim, Jongwoo Ko, Sangwook Cho, Jinhwan Choi, Se-Young Yun:
FINE Samples for Learning with Noisy Labels. NeurIPS 2021: 24137-24149 - [i30]Taehyeon Kim, Jongwoo Ko, Jinhwan Choi, Sangwook Cho, Se-Young Yun:
FINE Samples for Learning with Noisy Labels. CoRR abs/2102.11628 (2021) - [i29]Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun:
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. CoRR abs/2105.08919 (2021) - [i28]Gihun Lee, Yongjin Shin, Minchan Jeong, Se-Young Yun:
Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning. CoRR abs/2106.03097 (2021) - [i27]Jaehoon Oh, Sangmook Kim, Se-Young Yun:
FedBABU: Towards Enhanced Representation for Federated Image Classification. CoRR abs/2106.06042 (2021) - [i26]Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun:
Self-Contrastive Learning. CoRR abs/2106.15499 (2021) - [i25]Kyeongryeol Go, Seyoung Yun:
Meta-learning Amidst Heterogeneity and Ambiguity. CoRR abs/2107.02228 (2021) - 2020
- [j6]Kuang Xu, Se-Young Yun:
Reinforcement with Fading Memories. Math. Oper. Res. 45(4): 1258-1288 (2020) - [c33]Milan Vojnovic, Se-Young Yun, Kaifang Zhou:
Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models. AISTATS 2020: 1254-1264 - [c32]Seongyoon Kim, SeYoung Yun:
Accelerating Randomly Projected Gradient with Variance Reduction. BigComp 2020: 531-534 - [c31]Yongjin Shin, Gihun Lee, Seungjae Shin, Seyoung Yun, Il-Chul Moon:
FEWER: Federated Weight Recovery. DistributedML@CoNEXT 2020: 1-6 - [c30]ChangHwan Kim, Se-Young Yun:
Precipitation Nowcasting Using Grid-based Data in South Korea Region. ICDM (Workshops) 2020: 701-706 - [c29]Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun:
SIPA: A Simple Framework for Efficient Networks. ICDM (Workshops) 2020: 729-736 - [c28]Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière:
Regret in Online Recommendation Systems. NeurIPS 2020 - [i24]Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun:
SIPA: A Simple Framework for Efficient Networks. CoRR abs/2004.14476 (2020) - [i23]Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun:
Does MAML really want feature reuse only? CoRR abs/2008.08882 (2020) - [i22]Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun:
MixCo: Mix-up Contrastive Learning for Visual Representation. CoRR abs/2010.06300 (2020) - [i21]Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière:
Regret in Online Recommendation Systems. CoRR abs/2010.12363 (2020) - [i20]Jin-Woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee:
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture. CoRR abs/2012.03214 (2020) - [i19]Taehyeon Kim, Sangmin Bae, Jin-Woo Lee, Seyoung Yun:
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits. CoRR abs/2012.03270 (2020) - [i18]Taehyeon Kim, Jaeyeon Ahn, Nakyil Kim, Seyoung Yun:
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables. CoRR abs/2012.03501 (2020) - [i17]Dabeen Lee, Milan Vojnovic, Se-Young Yun:
Test Score Algorithms for Budgeted Stochastic Utility Maximization. CoRR abs/2012.15194 (2020)
2010 – 2019
- 2019
- [c27]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. ICML 2019: 5052-5061 - [c26]Taehyeon Kim, Jonghyup Kim, Seyoung Yun:
Efficient Model for Image Classification With Regularization Tricks. NeurIPS (Competition and Demos) 2019: 13-26 - [c25]Se-Young Yun, Alexandre Proutière:
Optimal Sampling and Clustering in the Stochastic Block Model. NeurIPS 2019: 13422-13430 - [c24]Jaehoon Oh, Sangmook Kim, Se-Young Yun, Seungwoo Choi, Mun Yong Yi:
A pipelined hybrid recommender system for ranking the items on the display. RecSys Challenge 2019: 9:1-9:5 - [i16]Milan Vojnovic, Seyoung Yun, Kaifang Zhou:
Convergence Rates of Gradient Descent and MM Algorithms for Generalized Bradley-Terry Models. CoRR abs/1901.00150 (2019) - [i15]Daniel Bienstock, Apurv Shukla, Seyoung Yun:
Non-Stationary Streaming PCA. CoRR abs/1902.03223 (2019) - [i14]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. CoRR abs/1905.05348 (2019) - [i13]Kuang Xu, Se-Young Yun:
Reinforcement with Fading Memories. CoRR abs/1907.12227 (2019) - [i12]Kaito Ariu, Jungseul Ok, Alexandre Proutière, Se-Young Yun:
Optimal Clustering from Noisy Binary Feedback. CoRR abs/1910.06002 (2019) - 2018
- [j5]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Game Theoretic Perspective of Optimal CSMA. IEEE Trans. Wirel. Commun. 17(1): 194-209 (2018) - [c23]Se-Young Yun:
Noisy Power Method with Grassmann Average. BigComp 2018: 709-712 - [c22]Kuang Xu, Se-Young Yun:
Reinforcement with Fading Memories. SIGMETRICS (Abstracts) 2018: 90-92 - [i11]Jaehoon Oh, Duyeon Kim, Se-Young Yun:
Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source. CoRR abs/1810.11520 (2018) - 2017
- [c21]Jungseul Ok, Se-Young Yun, Alexandre Proutière, Rami Mochaourab:
Collaborative Clustering: Sample Complexity and Efficient Algorithms. ALT 2017: 288-329 - [c20]Boram Jin, Daewoo Kim, Se-Young Yun, Jinwoo Shin, Seongik Hong, Byoung-Joon Lee, Yung Yi:
On the Delay Scaling Laws of Cache Networks. CFI 2017: 3:1-3:6 - [i10]Se-Young Yun, Jun Hyun Nam, Sangwoo Mo, Jinwoo Shin:
Contextual Multi-armed Bandits under Feature Uncertainty. CoRR abs/1703.01347 (2017) - [i9]Jaron Sanders, Alexandre Proutière, Se-Young Yun:
Clustering in Block Markov Chains. CoRR abs/1712.09232 (2017) - 2016
- [j4]Donggyu Yun, Dongmyung Lee, Se-Young Yun, Jinwoo Shin, Yung Yi:
Delay Optimal CSMA With Linear Virtual Channels Under a General Topology. IEEE/ACM Trans. Netw. 24(5): 2847-2857 (2016) - [j3]Se-Young Yun, Jinwoo Shin, Yung Yi:
Distributed Medium Access Over Time-Varying Channels. IEEE/ACM Trans. Netw. 24(5): 3000-3013 (2016) - [c19]Milan Vojnovic, Se-Young Yun:
Parameter Estimation for Generalized Thurstone Choice Models. ICML 2016: 498-506 - [c18]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Distributed coordination maximization over networks: a stochastic approximation approach. MobiHoc 2016: 181-190 - [c17]Se-Young Yun, Alexandre Proutière:
Optimal Cluster Recovery in the Labeled Stochastic Block Model. NIPS 2016: 965-973 - [i8]Shreyas Sekar, Milan Vojnovic, Se-Young Yun:
Sketching with Test Scores and Submodular Maximization. CoRR abs/1605.07172 (2016) - 2015
- [j2]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA Using the Bethe Approximation: Scheduling and Utility Maximization. IEEE Trans. Inf. Theory 61(9): 4776-4787 (2015) - [c16]Se-Young Yun, Marc Lelarge, Alexandre Proutière:
Fast and Memory Optimal Low-Rank Matrix Approximation. NIPS 2015: 3177-3185 - [c15]Se-Young Yun, Alexandre Proutière:
Distributed Proportional Fair Load Balancing in Heterogenous Systems. SIGMETRICS 2015: 17-30 - [i7]Se-Young Yun, Alexandre Proutière:
Optimality of Spectral Algorithms for Community Detection in the Labeled Stochastic Block Model. CoRR abs/1510.05956 (2015) - 2014
- [c14]Se-Young Yun, Alexandre Proutière:
Distributed load balancing in heterogenous systems. CISS 2014: 1-6 - [c13]Se-Young Yun, Alexandre Proutière:
Community Detection via Random and Adaptive Sampling. COLT 2014: 138-175 - [c12]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Distributed learning for utility maximization over CSMA-based wireless multihop networks. INFOCOM 2014: 280-288 - [c11]Dongmyung Lee, Donggyu Yun, Jinwoo Shin, Yung Yi, Se-Young Yun:
Provable per-link delay-optimal CSMA for general wireless network topology. INFOCOM 2014: 2535-2543 - [c10]Se-Young Yun, Marc Lelarge, Alexandre Proutière:
Streaming, Memory Limited Algorithms for Community Detection. NIPS 2014: 3167-3175 - [i6]Se-Young Yun, Alexandre Proutière:
Community Detection via Random and Adaptive Sampling. CoRR abs/1402.3072 (2014) - [i5]Se-Young Yun, Marc Lelarge, Alexandre Proutière:
Streaming, Memory Limited Algorithms for Community Detection. CoRR abs/1411.1279 (2014) - [i4]Se-Young Yun, Alexandre Proutière:
Accurate Community Detection in the Stochastic Block Model via Spectral Algorithms. CoRR abs/1412.7335 (2014) - 2013
- [c9]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA using the Bethe approximation for utility maximization. ISIT 2013: 206-210 - [c8]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA over time-varying channels: optimality, uniqueness and limited backoff rate. MobiHoc 2013: 137-146 - [i3]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA using Statistical Physics toward Throughput and Utility Optimal CSMA. CoRR abs/1306.1076 (2013) - [i2]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA over Time-varying Channels: Optimality, Uniqueness and Limited Backoff Rate. CoRR abs/1306.2009 (2013) - [i1]Boram Jin, Se-Young Yun, Daewoo Kim, Jinwoo Shin, Yung Yi, Seongik Hong, Byoung-Joon Lee:
On the Delay Scaling Laws of Cache Networks. CoRR abs/1310.0572 (2013) - 2012
- [j1]Se-Young Yun, Yung Yi, Dong-Ho Cho, Jeonghoon Mo:
The Economic Effects of Sharing Femtocells. IEEE J. Sel. Areas Commun. 30(3): 595-606 (2012) - [c7]Se-Young Yun, Yung Yi, Jinwoo Shin, Do Young Eun:
Optimal CSMA: A survey. ICCS 2012: 199-204 - [c6]Chul-Ho Lee, Do Young Eun, Se-Young Yun, Yung Yi:
From Glauber dynamics to Metropolis algorithm: Smaller delay in optimal CSMA. ISIT 2012: 2681-2685 - 2011
- [c5]Kyung-Seop Shin, Se-Young Yun, Dong-Ho Cho:
Multi-channel MAC protocol for QoS support in ad-hoc network. CCNC 2011: 975-976 - [c4]Se-Young Yun, Yung Yi, Dong-Ho Cho, Jeonghoon Mo:
Open or close: On the sharing of femtocells. INFOCOM 2011: 116-120 - 2010
- [c3]Seyoung Yun, Yung Yi, Dong-Ho Cho, Jeonghoon Mo:
On the pricing of femtocell services. CFI 2010: 1-4 - [c2]Seyoung Yun, Dong-Ho Cho:
Traffic density based power control scheme for femto AP. PIMRC 2010: 1378-1383
2000 – 2009
- 2009
- [c1]Eun Jin Hong, Seyoung Yun, Dong-Ho Cho:
Decentralized power control scheme in femtocell networks: A game theoretic approach. PIMRC 2009: 415-419
Coauthor Index
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