Se-Young Yun

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 145

Top Venues

Publications

Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun
DistiLLM: Towards Streamlined Distillation for Large Language Models. CoRR (2024)
Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition. CoRR (2024)
Yongjin Yang, Taehyeon Kim, Se-Young Yun
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. AAAI (2024)
Felix den Breejen, Sangmin Bae, Stephen Cha, Se-Young Yun
Why In-Context Learning Transformers are Tabular Data Classifiers. CoRR (2024)
Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun, Joachim M. Buhmann
Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization. CoRR (2024)
Haeju Lee, Minchan Jeong, Se-Young Yun, Kee-Eung Kim
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning. CoRR (2024)
Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. CoRR (2024)
Yongjin Yang, Sihyeon Kim, SangMook Kim, Gyubok Lee, Se-Young Yun, Edward Choi
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL. CoRR (2024)
Mingyu Kim, Jun-Seong Kim, Se-Young Yun, Jin-Hwa Kim
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs. CoRR (2024)
Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun
BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models. CoRR (2024)
Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion. AISTATS (2024)
Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
Block Transformer: Global-to-Local Language Modeling for Fast Inference. CoRR (2024)
Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions. ICLR (2024)
Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT (2024)
Jung-Hun Kim, Milan Vojnovic, Se-Young Yun
Rotting Infinitely Many-armed Bandits beyond the Worst-case Rotting: An Adaptive Approach. CoRR (2024)
Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters. CoRR (2024)
Taehyeon Kim, Donggyu Kim, Se-Young Yun
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels. CoRR (2024)
Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits. CoRR (2024)
Milan Vojnovic, Se-Young Yun, Kaifang Zhou
Accelerated MM Algorithms for Inference of Ranking Scores from Comparison Data. Oper. Res. 71 (4) (2023)
Kaito Ariu, Alexandre Proutière, Se-Young Yun
Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model. CoRR (2023)
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning. CoRR (2023)
Namgyu Ho, Laura Schmid, Se-Young Yun
Large Language Models Are Reasoning Teachers. ACL (1) (2023)
Sungnyun Kim, Sangmin Bae, Se-Young Yun
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CVPR (2023)
Sumyeong Ahn, Jongwoo Ko, Se-Young Yun
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition. CoRR (2023)
Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint. CoRR (2023)
Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
Re-thinking Federated Active Learning based on Inter-class Diversity. CoRR (2023)
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 (2023)
Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun
Fine tuning Pre trained Models for Robustness Under Noisy Labels. CoRR (2023)
Sumyeong Ahn, Seongyoon Kim, Se-Young Yun
Mitigating Dataset Bias by Using Per-Sample Gradient. ICLR (2023)
Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. INTERSPEECH (2023)
Dabeen Lee, Milan Vojnovic, Se-Young Yun
Test Score Algorithms for Budgeted Stochastic Utility Maximization. INFORMS J. Optim. 5 (1) (2023)
Haeju Lee, Minchan Jeong, Se-Young Yun, Kee-Eung Kim
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning. EMNLP (Findings) (2023)
Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI (2023)
Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. CoRR (2023)
Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. AAMAS (2023)
Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-Young Yun
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. EMNLP (Findings) (2023)
Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
Re-Thinking Federated Active Learning Based on Inter-Class Diversity. CVPR (2023)
Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. CoRR (2023)
Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion. CoRR (2023)
Seongha Eom, Namgyu Ho, Jaehoon Oh, Se-Young Yun
Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval. CoRR (2023)
Junghyun Lee, Laura Schmid, Se-Young Yun
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks. OPODIS (2023)
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning. NeurIPS (2023)
Sungnyun Kim, Sangmin Bae, Se-Young Yun
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CoRR (2023)
Felix den Breejen, Sangmin Bae, Stephen Cha, Tae-Young Kim, Seounghyun Koh, Se-Young Yun
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning. CoRR (2023)
Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. CoRR (2023)
Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. CoRR (2023)
Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. INTERSPEECH (2023)
Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions. CoRR (2023)
Jongwoo Ko, Bongsoo Yi, Se-Young Yun
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. AAAI (2023)
Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn
Non-backtracking Graph Neural Networks. CoRR (2023)
Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. EMNLP (2023)
Junghyun Lee, Laura Schmid, Se-Young Yun
Communication-Efficient Collaborative Heterogeneous Bandits in Networks. CoRR (2023)
Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint. NeurIPS (2023)
Yongjin Yang, Jongwoo Ko, Se-Young Yun
Improving Adaptability and Generalizability of Efficient Transfer Learning for Vision-Language Models. CoRR (2023)
Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles. AISTATS (2023)
Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning. CoRR (2023)
Yassir Jedra, Junghyun Lee, Alexandre Proutière, Se-Young Yun
Nearly Optimal Latent State Decoding in Block MDPs. AISTATS (2023)
Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. CoRR (2023)
Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning. CoRR (2023)
Yongjin Yang, Taehyeon Kim, Se-Young Yun
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. CoRR (2023)
Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. EMNLP (Findings) (2023)
Sumyeong Ahn, Jongwoo Ko, Se-Young Yun
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. ICLR (2023)
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. EACL (Findings) (2023)
Sumyeong Ahn, Se-Young Yun
Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels. AAAI (2023)
Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun
Real-time and Explainable Detection of Epidemics with Global News Data. Healthcare AI and COVID-19 Workshop (2022)
Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun
SuperNet in Neural Architecture Search: A Taxonomic Survey. CoRR (2022)
Jung-Hun Kim, Se-Young Yun
Adversarial Bandits Robust to S-Switch Regret. CoRR (2022)
Gihun Lee, SangMook Kim, Joonkee Kim, Se-Young Yun
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. Cell Segmentation Challenge @ NeurIPS (2022)
Daniel Bienstock, Minchan Jeong, Apurv Shukla, Se-Young Yun
Robust Streaming PCA. NeurIPS (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR (2022)
Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning. NeurIPS (2022)
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 (2022)
Jongwoo Ko, Bongsoo Yi, Se-Young Yun
ALASCA: Rethinking Label Smoothing for Deep Learning Under Label Noise. CoRR (2022)
Taehyeon Kim, Namgyu Ho, Donggyu Kim, Se-Young Yun
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction. CoRR (2022)
Namgyu Ho, Laura Schmid, Se-Young Yun
Large Language Models Are Reasoning Teachers. CoRR (2022)
Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CoRR (2022)
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)
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 (2022)
Yassir Jedra, Junghyun Lee, Alexandre Proutière, Se-Young Yun
Nearly Optimal Latent State Decoding in Block MDPs. CoRR (2022)
Mingyu Kim, Kyeongryeol Go, Se-Young Yun
Neural Processes with Stochastic Attention: Paying more attention to the context dataset. ICLR (2022)
Sumyeong Ahn, Seongyoon Kim, Se-Young Yun
Mitigating Dataset Bias by Using Per-sample Gradient. CoRR (2022)
Jung-Hun Kim, Milan Vojnovic, Se-Young Yun
Rotting infinitely many-armed bandits. CoRR (2022)
Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. CoRR (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS (2022)
Taehyeon Kim, Se-Young Yun
Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification. IEEE Access 10 (2022)
Jaehoon Oh, Jongwoo Ko, Se-Young Yun
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. CoRR (2022)
Sumyeong Ahn, Se-Young Yun
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels. CoRR (2022)
Yujin Kim, Jaehoon Oh, Sungnyun Kim, Se-Young Yun
Revisiting the Updates of a Pre-trained Model for Few-shot Learning. CoRR (2022)
Jaehoon Oh, Sangmook Kim, Se-Young Yun
FedBABU: Toward Enhanced Representation for Federated Image Classification. ICLR (2022)
Mingyu Kim, Kyeongryeol Go, Se-Young Yun
Neural Processes with Stochastic Attention: Paying more attention to the context dataset. CoRR (2022)
Sungnyun Kim, Se-Young Yun
Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch. IEEE Access 10 (2022)
Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CIKM (2022)
Taehyeon Kim, Se-Young Yun
Supernet Training for Federated Image Classification under System Heterogeneity. CoRR (2022)
Taehyeon Kim, Heesoo Myeong, Se-Young Yun
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search. CoRR (2022)
Jihwan Oh, Joonkee Kim, Se-Young Yun
Risk Perspective Exploration in Distributional Reinforcement Learning. CoRR (2022)
Jaehoon Oh, Jongwoo Ko, Se-Young Yun
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. EMNLP (2022)
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 (2022)
Jaehoon Oh, Se-Young Yun
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning. CoRR (2022)
Jung-Hun Kim, Milan Vojnovic, Se-Young Yun
Rotting Infinitely Many-Armed Bandits. ICML (2022)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Se-Young Yun