Author

Taesup Kim

Observed name: Kim, Taesup

Observed institutions: Seoul National University, Korea Advanced Institute of Science and Technology, LG (United States), Mila - Quebec Artificial Intelligence Institute, Kakao Brain (South Korea), Université de Montréal

ORCID: 0009-0005-6056-6836

Observed ORCID: 0009-0005-6056-6836

OpenAlex ID: A5065728469

Edge-Labeling Graph Neural Network for Few-Shot Learning

2019 · Jongmin Kim, Taesup Kim, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 562

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PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples

2017 · Song, Yang, Kim, Taesup, et al. · arXiv (Cornell University) · 562

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A Deep Reinforcement Learning Chatbot

2017 · Serban, Iulian V., Sankar, Chinnadhurai, et al. · arXiv (Cornell University) · 195

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Bayesian Model-Agnostic Meta-Learning

2018 · Kim, Taesup, Yoon, Jaesik, et al. · arXiv (Cornell University) · 164

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Fast AutoAugment.

2019 · Sungbin Lim, Ildoo Kim, et al. · arXiv (Cornell University) · 86

Fast AutoAugment

2019 · Sungbin Lim, Ildoo Kim, et al. · neural information processing systems · 84

Scalable Neural Architecture Search for 3D Medical Image Segmentation

2019 · Sungwoong Kim, Ildoo Kim, et al. · Lecture notes in computer science · 75

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Deep Directed Generative Models with Energy-Based Probability Estimation

2016 · Kim, Taesup, Bengio, Yoshua · arXiv (Cornell University) · 74

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Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition

2017 · Taesup Kim, Inchul Song, et al. · Interspeech (USB) · 70

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Meta-Learning with a Geometry-Adaptive Preconditioner

2023 · Suhyun Kang, Duhun Hwang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 31

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Variational Temporal Abstraction

2019 · Kim, Taesup, Ahn, Sungjin, et al. · arXiv (Cornell University) · 27

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Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation

2023 · Minchang Kim, Yongjin Yang, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 17

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Variable grouping for energy minimization

2011 · Taesup Kim, Sebastian Nowozin, et al. · 17

Fast AutoAugment

2019 · Lim, Sungbin, Kim, Ildoo, et al. · arXiv (Cornell University) · 15

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A Deep Reinforcement Learning Chatbot (Short Version)

2018 · Serban, Iulian V., Sankar, Chinnadhurai, et al. · arXiv (Cornell University) · 12

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Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models

2024 · Donggeun Kim, Taesup Kim · Lecture notes in computer science · 11

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Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning

2023 · Wonguk Cho, Jinha Park, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 10

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Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models

2018 · Inchul Song, Junyoung Chung, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 10

Flexible Model Aggregation for Quantile Regression

2021 · Fakoor, Rasool, Kim, Taesup, et al. · arXiv (Cornell University) · 9

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FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages

2022 · Jaeseong Lee, Seung-won Hwang, et al. · Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP) · 8

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Noise-adaptive Deep Neural Network for Single-channel Speech Enhancement

2018 · Hanwook Chung, Taesup Kim, et al. · Machine learning for signal processing ... · 7

Visual Concept Reasoning Networks

2021 · Taesup Kim, Sungwoong Kim, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 5

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Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information

2024 · Kyubyung Chae, Jaepill Choi, et al. · Findings of the Association for Computational Linguistics: NAACL · 3

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Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges

2022 · Caccia, Massimo, Mueller, Jonas, et al. · arXiv (Cornell University) · 3

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