Taesup Kim

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 39

Top Topics

Quantile Regression

Reinforcement Learning

Conditional Mutual Information

Top Venues

Publications

Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information. CoRR (2024)
Namju Kwak, Taesup Kim
X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme Multi-Profile Scenarios. CoRR (2024)
Donggeun Kim, Taesup Kim
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models. CoRR (2024)
Jinha Park, Wonguk Cho, Taesup Kim
Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization. CoRR (2024)
Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani
Flexible Model Aggregation for Quantile Regression. J. Mach. Learn. Res. 24 (2023)
Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee
Meta-Learning with a Geometry-Adaptive Preconditioner. CVPR (2023)
Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. CIKM (2023)
Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. CoRR (2023)
Wonguk Cho, Jinha Park, Taesup Kim
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning. ICCV (2023)
Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee
Meta-Learning with a Geometry-Adaptive Preconditioner. CoRR (2023)
Wonguk Cho, Jinha Park, Taesup Kim
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning. CoRR (2023)
Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges. CoLLAs (2023)
Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J. Smola
Faster Deep Reinforcement Learning with Slower Online Network. NeurIPS (2022)
Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline. CoRR (2022)
Martin Klissarov, Rasool Fakoor, Jonas W. Mueller, Kavosh Asadi, Taesup Kim, Alexander J. Smola
Adaptive Interest for Emphatic Reinforcement Learning. NeurIPS (2022)
Jaeseong Lee, Seung-won Hwang, Taesup Kim
FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages. AACL/IJCNLP (2) (2022)
Taesup Kim, Sungwoong Kim, Yoshua Bengio
Visual Concept Reasoning Networks. AAAI (2021)
Taesup Kim, Rasool Fakoor, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani
Deep Quantile Aggregation. CoRR (2021)
Taesup Kim, Sungwoong Kim, Yoshua Bengio
Visual Concept Reasoning Networks. CoRR (2020)
Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
Fast AutoAugment. CoRR (2019)
Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
Scalable Neural Architecture Search for 3D Medical Image Segmentation. CoRR (2019)
Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
Edge-Labeling Graph Neural Network for Few-Shot Learning. CVPR (2019)
Taesup Kim, Sungjin Ahn, Yoshua Bengio
Variational Temporal Abstraction. NeurIPS (2019)
Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
Edge-labeling Graph Neural Network for Few-shot Learning. CoRR (2019)
Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
Scalable Neural Architecture Search for 3D Medical Image Segmentation. MICCAI (3) (2019)
Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
Fast AutoAugment. NeurIPS (2019)
Taesup Kim, Sungjin Ahn, Yoshua Bengio
Variational Temporal Abstraction. CoRR (2019)
Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
Bayesian Model-Agnostic Meta-Learning. NeurIPS (2018)
Hanwook Chung, Taesup Kim, Eric Plourde, Benoît Champagne
Noise-adaptive Deep Neural Network for single-channel speech enhancement. MLSP (2018)
Inchul Song, Junyoung Chung, Taesup Kim, Yoshua Bengio
Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models. ICASSP (2018)
Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. ICLR (Poster) (2018)
Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio
A Deep Reinforcement Learning Chatbot (Short Version). CoRR (2018)
Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
Bayesian Model-Agnostic Meta-Learning. CoRR (2018)
Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. CoRR (2017)
Taesup Kim, Inchul Song, Yoshua Bengio
Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition. INTERSPEECH (2017)
Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Mudumba, Alexandre de Brébisson, Jose Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio
A Deep Reinforcement Learning Chatbot. CoRR (2017)
Taesup Kim, Inchul Song, Yoshua Bengio
Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition. CoRR (2017)
Taesup Kim, Yoshua Bengio
Deep Directed Generative Models with Energy-Based Probability Estimation. CoRR (2016)
Rodrigo Nogueira, Taesup Kim, Abdel-rahman Mohamed, Ahmed Hassan Awadallah, Pushmeet Kohli, Ahmed Mohamed
MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track. TAC (2016)
Kangsun Lee, Taesup Kim
Reusing Simulation Models for Weapons Effectiveness Analysis. SIMULTECH (2012)
Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo
Variable grouping for energy minimization. CVPR (2011)
Kyu Cheol Cho, Sung-Ho Jang, Chang Hyeon Noh, Tae-young Kim, Jong Sik Lee, Jae Min Lee, Taesup Kim, Kangsun Lee
Route reasoning-based mobility modeling and simulation for street fight using DEVS. SummerSim (2010)
Hakjae Kim, Ryong Oh, Sungju Lee, Taesup Kim, Sangjoon Lee, Yongwha Chung, Choong-Ho Cho
A fingerprint-based user authentication protocol considering both the mobility and security in the telematics environment. Comput. Stand. Interfaces 31 (6) (2009)