Se-Young Yun

Donggyu Kim

CoRR, 2024

DistiLLM: Towards Streamlined Distillation for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

Yongjin Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Accelerated MM Algorithms for Inference of Ranking Scores from Comparison Data.

[BibT_eX]

[DOI]

Kaifang Zhou

Oper. Res., July, 2023

Test Score Algorithms for Budgeted Stochastic Utility Maximization.

[BibT_eX]

[DOI]

Dabeen Lee

INFORMS J. Optim., January, 2023

Improving Adaptability and Generalizability of Efficient Transfer Learning for Vision-Language Models.

[BibT_eX]

[DOI]

Yongjin Yang

CoRR, 2023

FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions.

[BibT_eX]

[DOI]

CoRR, 2023

Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion.

[BibT_eX]

[DOI]

Junghyun Lee

Kwang-Sung Jun

CoRR, 2023

Fine tuning Pre trained Models for Robustness Under Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2023

Non-backtracking Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval.

[BibT_eX]

[DOI]

CoRR, 2023

FedSoL: Bridging Global Alignment and Local Generality in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model.

[BibT_eX]

[DOI]

Kaito Ariu

CoRR, 2023

Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

Communication-Efficient Collaborative Heterogeneous Bandits in Networks.

[BibT_eX]

[DOI]

Junghyun Lee

Laura Schmid

CoRR, 2023

The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions.

[BibT_eX]

[DOI]

IEEE Access, 2023

Meta-Learning Amidst Heterogeneity and Ambiguity.

[BibT_eX]

[DOI]

Kyeongryeol Go

Mingyu Kim

IEEE Access, 2023

Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks.

[BibT_eX]

[DOI]

Junghyun Lee

Laura Schmid

Proceedings of the 27th International Conference on Principles of Distributed Systems, 2023

Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mitigating Dataset Bias by Using Per-Sample Gradient.

[BibT_eX]

[DOI]

Sumyeong Ahn

Seongyoon Kim

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CUDA: Curriculum of Data Augmentation for Long-tailed Recognition.

[BibT_eX]

[DOI]

Sumyeong Ahn

Proceedings of the Eleventh International Conference on Learning Representations, 2023

HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning.

[BibT_eX]

[DOI]

Sungnyun Kim

Sangmin Bae

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Re-Thinking Federated Active Learning Based on Inter-Class Diversity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Nearly Optimal Latent State Decoding in Block MDPs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Large Language Models Are Reasoning Teachers.

[BibT_eX]

[DOI]

Namgyu Ho

Laura Schmid

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.

[BibT_eX]

[DOI]

Bongsoo Yi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sumyeong Ahn

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition.

[BibT_eX]

[DOI]

CoRR, 2022

The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions.

[BibT_eX]

[DOI]

CoRR, 2022

Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Risk Perspective Exploration in Distributional Reinforcement Learning.

[BibT_eX]

[DOI]

Jihwan Oh

Joonkee Kim

CoRR, 2022

Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search.

[BibT_eX]

[DOI]

Heesoo Myeong

CoRR, 2022

Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2022

ALASCA: Rethinking Label Smoothing for Deep Learning Under Label Noise.

[BibT_eX]

[DOI]

Bongsoo Yi

CoRR, 2022

Supernet Training for Federated Image Classification under System Heterogeneity.

[BibT_eX]

[DOI]

CoRR, 2022

Adversarial Bandits Robust to S-Switch Regret.

[BibT_eX]

[DOI]

Jung-Hun Kim

CoRR, 2022

Revisiting the Updates of a Pre-trained Model for Few-shot Learning.

[BibT_eX]

[DOI]

CoRR, 2022

SuperNet in Neural Architecture Search: A Taxonomic Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Understanding Cross-Domain Few-Shot Learning: An Experimental Study.

[BibT_eX]

[DOI]

CoRR, 2022

Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces.

[BibT_eX]

[DOI]

Jaeyeon Ahn

CoRR, 2022

Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification.

[BibT_eX]

[DOI]

IEEE Access, 2022

Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch.

[BibT_eX]

[DOI]

Sungnyun Kim

IEEE Access, 2022

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy.

[BibT_eX]

[DOI]

Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

Preservation of the Global Knowledge by Not-True Distillation in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Streaming PCA.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rotting Infinitely Many-Armed Bandits.

[BibT_eX]

[DOI]

Jung-Hun Kim

Proceedings of the International Conference on Machine Learning, 2022

Real-time and Explainable Detection of Epidemics with Global News Data.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

FedBABU: Toward Enhanced Representation for Federated Image Classification.

[BibT_eX]

[DOI]

Sangmook Kim

Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Processes with Stochastic Attention: Paying more attention to the context dataset.

[BibT_eX]

[DOI]

Mingyu Kim

Kyeongryeol Go

Proceedings of the Tenth International Conference on Learning Representations, 2022

Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Test Score-Based Approach to Stochastic Submodular Optimization.

[BibT_eX]

[DOI]

Shreyas Sekar

Manag. Sci., 2021

Meta-learning Amidst Heterogeneity and Ambiguity.

[BibT_eX]

[DOI]

Kyeongryeol Go

CoRR, 2021

Self-Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

FedBABU: Towards Enhanced Representation for Federated Image Classification.

[BibT_eX]

[DOI]

Sangmook Kim

CoRR, 2021

Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

FINE Samples for Learning with Noisy Labels.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Improved Regret Bounds of Bilinear Bandits using Action Space Analysis.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

BOIL: Towards Representation Change for Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Reinforcement with Fading Memories.

[BibT_eX]

[DOI]

Kuang Xu

Math. Oper. Res., 2020

Adaptive Local Bayesian Optimization Over Multiple Discrete Variables.

[BibT_eX]

[DOI]

CoRR, 2020

Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits.

[BibT_eX]

[DOI]

CoRR, 2020

TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture.

[BibT_eX]

[DOI]

CoRR, 2020

MixCo: Mix-up Contrastive Learning for Visual Representation.

[BibT_eX]

[DOI]

CoRR, 2020

Does MAML really want feature reuse only?

[BibT_eX]

[DOI]

CoRR, 2020

Regret in Online Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SIPA: A Simple Framework for Efficient Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Precipitation Nowcasting Using Grid-based Data in South Korea Region.

[BibT_eX]

[DOI]

ChangHwan Kim

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

FEWER: Federated Weight Recovery.

[BibT_eX]

[DOI]

Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020

Accelerating Randomly Projected Gradient with Variance Reduction.

[BibT_eX]

[DOI]

Seongyoon Kim

SeYoung Yun

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models.

[BibT_eX]

[DOI]

Kaifang Zhou

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Optimal Clustering from Noisy Binary Feedback.

[BibT_eX]

[DOI]

CoRR, 2019

Non-Stationary Streaming PCA.

[BibT_eX]

[DOI]

Daniel Bienstock

Apurv Shukla

CoRR, 2019

Convergence Rates of Gradient Descent and MM Algorithms for Generalized Bradley-Terry Models.

[BibT_eX]

[DOI]

Kaifang Zhou

CoRR, 2019

A pipelined hybrid recommender system for ranking the items on the display.

[BibT_eX]

[DOI]

Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019

Optimal Sampling and Clustering in the Stochastic Block Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Model for Image Classification With Regularization Tricks.

[BibT_eX]

[DOI]

Jonghyup Kim

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Spectral Approximate Inference.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Game Theoretic Perspective of Optimal CSMA.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2018

Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source.

[BibT_eX]

[DOI]

Duyeon Kim

CoRR, 2018

Noisy Power Method with Grassmann Average.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

Clustering in Block Markov Chains.

[BibT_eX]

[DOI]

Jaron Sanders

CoRR, 2017

Contextual Multi-armed Bandits under Feature Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2017

On the Delay Scaling Laws of Cache Networks.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Future Internet Technologies, 2017

Collaborative Clustering: Sample Complexity and Efficient Algorithms.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Algorithmic Learning Theory, 2017

2016

Distributed Medium Access Over Time-Varying Channels.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2016

Delay Optimal CSMA With Linear Virtual Channels Under a General Topology.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2016

Sketching with Test Scores and Submodular Maximization.

[BibT_eX]

[DOI]

Shreyas Sekar

CoRR, 2016

Optimal Cluster Recovery in the Labeled Stochastic Block Model.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016

Parameter Estimation for Generalized Thurstone Choice Models.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

CSMA Using the Bethe Approximation: Scheduling and Utility Maximization.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

Optimality of Spectral Algorithms for Community Detection in the Labeled Stochastic Block Model.

[BibT_eX]

[DOI]

CoRR, 2015

Distributed Proportional Fair Load Balancing in Heterogenous Systems.

[BibT_eX]

[DOI]

Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Fast and Memory Optimal Low-Rank Matrix Approximation.

[BibT_eX]

[DOI]

Marc Lelarge

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Accurate Community Detection in the Stochastic Block Model via Spectral Algorithms.

[BibT_eX]

[DOI]

CoRR, 2014

Streaming, Memory Limited Algorithms for Community Detection.

[BibT_eX]

[DOI]

Marc Lelarge

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Provable per-link delay-optimal CSMA for general wireless network topology.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Distributed learning for utility maximization over CSMA-based wireless multihop networks.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Community Detection via Random and Adaptive Sampling.

[BibT_eX]

[DOI]

Proceedings of The 27th Conference on Learning Theory, 2014

Distributed load balancing in heterogenous systems.

[BibT_eX]

[DOI]

Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013

CSMA using Statistical Physics toward Throughput and Utility Optimal CSMA.

[BibT_eX]

[DOI]

CoRR, 2013

CSMA over time-varying channels: optimality, uniqueness and limited backoff rate.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2013

CSMA using the Bethe approximation for utility maximization.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012

The Economic Effects of Sharing Femtocells.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2012

From Glauber dynamics to Metropolis algorithm: Smaller delay in optimal CSMA.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Optimal CSMA: A survey.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communication Systems, 2012

2011

Open or close: On the sharing of femtocells.

[BibT_eX]

[DOI]

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Multi-channel MAC protocol for QoS support in ad-hoc network.

[BibT_eX]

[DOI]

Kyung-Seop Shin

Dong-Ho Cho

Proceedings of the 2011 IEEE Consumer Communications and Networking Conference, 2011

2010

Traffic density based power control scheme for femto AP.

[BibT_eX]

[DOI]

Dong-Ho Cho

Proceedings of the IEEE 21st International Symposium on Personal, 2010

On the pricing of femtocell services.

[BibT_eX]

[DOI]

Proceedings of the Conference on the Future of the Internet 2010, 2010

2009

Decentralized power control scheme in femtocell networks: A game theoretic approach.

[BibT_eX]

[DOI]

Eun Jin Hong