← Authors

Se-Young Yun

67 papers · 2014–2025 · 15 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (12) 🌱 Topic Pioneer πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (265) πŸ’Ž Century Club (67)

Conferences

NIPS (16) ICLR (10) EMNLP (9) ICML (9) AAAI (4) AISTATS (4) CVPR (3) ACL (2) IJCAI (2) INTERSPEECH (2) NAACL (2) ALT (1) COLT (1) EACL (1) ICCV (1)

Top co-authors

Jongwoo Ko (12) Sangmin Bae (11) Sungnyun Kim (10) Alexandre Proutiere (9) Taehyeon Kim (7) Jaehoon Oh (7) Minchan Jeong (7) Namgyu Ho (6) Yujin Kim (5) SangMook Kim (5)

Keywords

regret bound (7) knowledge distillation (5) model compression (5) community detection (4) transfer learning (4) multi-armed bandit (4) noisy label (4) continual learning (4) federated learning (3) large language model (3) streaming algorithm (3) language model (3) domain adaptation (3) stochastic block model (3) online learning (3) model alignment (2) zero-shot learning (2) network analysis (2) adaptive sampling (2) label noise (2)

Papers

C2: Scalable Auto-Feedback for LLM-based Chart Generation NAACL 2025
QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval ICML 2025
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs ICML 2025
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition ICML 2025
Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model ICML 2025
Self-Training Elicits Concise Reasoning in Large Language Models ACL 2025
FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning ICLR 2025
MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder ICLR 2025
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models ICLR 2025
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation ICLR 2025
MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation ICCV 2025
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion AISTATS 2024
An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints NIPS 2024
Preference Alignment with Flow Matching NIPS 2024
Block Transformer: Global-to-Local Language Modeling for Fast Inference NIPS 2024
Conditional Synthesis of 3D Molecules with Time Correction Sampler NIPS 2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits NIPS 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models EMNLP 2024
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024
Stable Language Model Pre-training by Reducing Embedding Variability EMNLP 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions ICLR 2024
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs ICML 2024
DistiLLM: Towards Streamlined Distillation for Large Language Models ICML 2024
Fine-tuning Pre-trained Models for Robustness under Noisy Labels IJCAI 2024
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models NAACL 2024
Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023
Re-Thinking Federated Active Learning Based on Inter-Class Diversity CVPR 2023
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective EACL 2023
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding EMNLP 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning EMNLP 2023
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models EMNLP 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning NIPS 2023
Mitigating Dataset Bias by Using Per-Sample Gradient ICLR 2023
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition ICLR 2023
Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning CVPR 2023
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint NIPS 2023
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation INTERSPEECH 2023
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network AAAI 2023
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification INTERSPEECH 2023
Large Language Models Are Reasoning Teachers ACL 2023
Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels AAAI 2023
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles AISTATS 2023
FedBABU: Toward Enhanced Representation for Federated Image Classification ICLR 2022
Rotting Infinitely Many-Armed Bandits ICML 2022
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks EMNLP 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset ICLR 2022
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning NIPS 2022
Robust Streaming PCA NIPS 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty NIPS 2022
FINE Samples for Learning with Noisy Labels NIPS 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation IJCAI 2021
BOIL: Towards Representation Change for Few-shot Learning ICLR 2021
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis ICML 2021
Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models AISTATS 2020
Regret in Online Recommendation Systems NIPS 2020
Spectral Approximate Inference ICML 2019
Optimal Sampling and Clustering in the Stochastic Block Model NIPS 2019
Collaborative Clustering: Sample Complexity and Efficient Algorithms ALT 2017
Optimal Cluster Recovery in the Labeled Stochastic Block Model NIPS 2016
Fast and Memory Optimal Low-Rank Matrix Approximation NIPS 2015
Streaming, Memory Limited Algorithms for Community Detection NIPS 2014
Community Detection via Random and Adaptive Sampling COLT 2014