Taesup Kim

Orcid: 0009-0005-6056-6836

According to our database1, Taesup Kim authored at least 33 papers between 2009 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization.
CoRR, 2024

X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme Multi-Profile Scenarios.
CoRR, 2024

Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Model-based Preference Optimization in Abstractive Summarization without Human Feedback.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Flexible Model Aggregation for Quantile Regression.
J. Mach. Learn. Res., 2023

Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Meta-Learning with a Geometry-Adaptive Preconditioner.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges.
Proceedings of the Conference on Lifelong Learning Agents, 2023

Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline.
CoRR, 2022

Adaptive Interest for Emphatic Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Faster Deep Reinforcement Learning with Slower Online Network.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021
Deep Quantile Aggregation.
CoRR, 2021

Visual Concept Reasoning Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

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

Scalable Neural Architecture Search for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Edge-Labeling Graph Neural Network for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A Deep Reinforcement Learning Chatbot (Short Version).
CoRR, 2018

Bayesian Model-Agnostic Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Noise-adaptive Deep Neural Network for single-channel speech enhancement.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples.
Proceedings of the 6th International Conference on Learning Representations, 2018

Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
A Deep Reinforcement Learning Chatbot.
CoRR, 2017

Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016
Deep Directed Generative Models with Energy-Based Probability Estimation.
CoRR, 2016

MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track.
Proceedings of the 2016 Text Analysis Conference, 2016

2012
Reusing Simulation Models for Weapons Effectiveness Analysis.
Proceedings of the SIMULTECH 2012 - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Rome, Italy, 28, 2012

2011
Variable grouping for energy minimization.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Route reasoning-based mobility modeling and simulation for street fight using DEVS.
Proceedings of the SummerSim '10, 2010

2009
A fingerprint-based user authentication protocol considering both the mobility and security in the telematics environment.
Comput. Stand. Interfaces, 2009


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