Kyungwoo Song

Orcid: 0000-0003-0082-4280

According to our database1, Kyungwoo Song authored at least 54 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
GFML: Gravity function for metric learning.
Eng. Appl. Artif. Intell., 2025

2024
Tc-llama 2: fine-tuning LLM for technology and commercialization applications.
J. Big Data, December, 2024

Dirichlet stochastic weights averaging for graph neural networks.
Appl. Intell., November, 2024

Structural and positional ensembled encoding for Graph Transformer.
Pattern Recognit. Lett., 2024

Bibimbap : Pre-trained models ensemble for Domain Generalization.
Pattern Recognit., 2024

Language model-guided student performance prediction with multimodal auxiliary information.
Expert Syst. Appl., 2024

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation.
CoRR, 2024

LBC: Language-Based-Classifier for Out-Of-Variable Generalization.
CoRR, 2024

Robust Adaptation of Foundation Models with Black-Box Visual Prompting.
CoRR, 2024

Flat Posterior Does Matter For Bayesian Transfer Learning.
CoRR, 2024

Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding.
CoRR, 2024

GloGen: PPG prompts for few-shot transfer learning in blood pressure estimation.
Comput. Biol. Medicine, 2024

CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Online Continuous Generalized Category Discovery.
Proceedings of the Computer Vision - ECCV 2024, 2024

Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Pre-trained Vision and Language Transformers are Few-Shot Incremental Learners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Sequential Likelihood-Free Inference with Neural Proposal.
Pattern Recognit. Lett., May, 2023

Towards Calibrated Robust Fine-Tuning of Vision-Language Models.
CoRR, 2023

Leveraging Skill-to-Skill Supervision for Knowledge Tracing.
CoRR, 2023

RPLKG: Robust Prompt Learning with Knowledge Graph.
CoRR, 2023

Robust Contrastive Learning With Dynamic Mixed Margin.
IEEE Access, 2023

Geodesic Multi-Modal Mixup for Robust Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SAAL: Sharpness-Aware Active Learning.
Proceedings of the International Conference on Machine Learning, 2023

Causally Disentangled Generative Variational AutoEncoder.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Sharpness-aware Minimization for Worst Case Optimization.
CoRR, 2022

Graph Perceiver IO: A General Architecture for Graph Structured Data.
CoRR, 2022

Multi-Modal Mixup for Robust Fine-tuning.
CoRR, 2022

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Fair Representation via Distributional Contrastive Disentanglement.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation.
Proceedings of the International Conference on Machine Learning, 2022

Efficient Approximate Inference for Stationary Kernel on Frequency Domain.
Proceedings of the International Conference on Machine Learning, 2022

From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model.
Proceedings of the International Conference on Machine Learning, 2022

2021
Score Matching Model for Unbounded Data Score.
CoRR, 2021

Posterior-Aided Regularization for Likelihood-Free Inference.
CoRR, 2021

LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Implicit Kernel Attention.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning.
CoRR, 2020

Sequential Likelihood-Free Inference with Implicit Surrogate Proposal.
CoRR, 2020

Approximate Inference for Spectral Mixture Kernel.
CoRR, 2020

Context Aware Sequence Modeling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Deep Generative Positive-Unlabeled Learning under Selection Bias.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Bivariate Beta-LSTM.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Hierarchically Clustered Representation Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Sequential Recommendation with Relation-Aware Kernelized Self-Attention.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hierarchical Context Enabled Recurrent Neural Network for Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Adversarial Dropout for Recurrent Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Neural Ideal Point Estimation Network.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
The Regularity of Semihyperbolic Patches Near Sonic Lines for The 2-D Euler System in Gas Dynamics.
SIAM J. Math. Anal., 2015

2014
Identifying the evolution of disasters and responses with network-text analysis.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014


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