Se-Young Yun
Orcid: 0000-0001-6675-5113Affiliations:
- Korea Advanced Institute of Science and Technology (KAIST), Graduate School of AI Korea, Daejeon, South Korea
- Los Alamos National Laboratory, NM, USA
- Microsoft Research, Cambridge, UK
- Microsoft Research-INRIA Joint Centre, Paris, France
- KTH Royal Institute of Technology, Stockholm, Sweden
According to our database1,
Se-Young Yun
authored at least 150 papers
between 2009 and 2024.
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Bibliography
2024
Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning.
CoRR, 2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits.
CoRR, 2024
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition.
CoRR, 2024
BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models.
CoRR, 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning.
CoRR, 2024
CoRR, 2024
Rotting Infinitely Many-armed Bandits beyond the Worst-case Rotting: An Adaptive Approach.
CoRR, 2024
Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization.
CoRR, 2024
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Oper. Res., July, 2023
INFORMS J. Optim., January, 2023
Improving Adaptability and Generalizability of Efficient Transfer Learning for Vision-Language Models.
CoRR, 2023
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning.
CoRR, 2023
CoRR, 2023
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions.
CoRR, 2023
Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval.
CoRR, 2023
CoRR, 2023
CoRR, 2023
The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions.
IEEE Access, 2023
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks.
Proceedings of the 27th International Conference on Principles of Distributed Systems, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions.
CoRR, 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction.
CoRR, 2022
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search.
CoRR, 2022
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning.
CoRR, 2022
CoRR, 2022
Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification.
IEEE Access, 2022
Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch.
IEEE Access, 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
CoRR, 2021
Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.
Proceedings of the NeurIPS 2022 Competition Track, 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
CoRR, 2020
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Convergence Rates of Gradient Descent and MM Algorithms for Generalized Bradley-Terry Models.
CoRR, 2019
Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source.
CoRR, 2018
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018
2017
Proceedings of the 12th International Conference on Future Internet Technologies, 2017
Proceedings of the International Conference on Algorithmic Learning Theory, 2017
2016
IEEE/ACM Trans. Netw., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Distributed coordination maximization over networks: a stochastic approximation approach.
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
IEEE Trans. Inf. Theory, 2015
Optimality of Spectral Algorithms for Community Detection in the Labeled Stochastic Block Model.
CoRR, 2015
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2014
CoRR, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014
Distributed learning for utility maximization over CSMA-based wireless multihop networks.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
2013
CoRR, 2013
Proceedings of the Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the IEEE International Conference on Communication Systems, 2012
2011
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011
Proceedings of the 2011 IEEE Consumer Communications and Networking Conference, 2011
2010
Proceedings of the IEEE 21st International Symposium on Personal, 2010
Proceedings of the Conference on the Future of the Internet 2010, 2010
2009
Proceedings of the IEEE 20th International Symposium on Personal, 2009