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2024

Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models

[NeurIPS 2024] Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli

Model-based Preference Optimization in Abstractive Summarization without Human Feedback

[EMNLP 2024] Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim

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

[ECCV 2024] Donggeun Kim, Taesup Kim

Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information

[NAACL 2024] Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim

2023

Task-agnostic continual reinforcement learning: Gaining insights and overcoming challenges

[CoLLA 2023] Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

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

[CIKM 2023] Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee

Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning

[ICCV 2023] Wonguk Cho, Jinha Park, Taesup Kim

UOTA: Unsupervised Open-Set Task Adaptation Using a Vision-Language Foundation Model

[ICML Workshop 2023] Youngjo Min, Kwangrok Ryoo, Bumsoo Kim, Taesup Kim

Uncertainty-Guided Online Test-Time Adaptation via Meta-Learning

[ICML Workshop 2023] Kyubyung Chae, Taesup Kim

Meta-Learning with a Geometry-Adaptive Preconditioner

[CVPR 2023] Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee

Flexible Model Aggregation for Quantile Regression

[JLMR 2023] Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani

2022

Adaptive Interest for Emphatic Reinforcement Learning

[NeurIPS 2022] Martin Klissarov, Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Taesup Kim, Alexander J. Smola

Faster Deep Reinforcement Learning with Slower Online Network

[NeurIPS 2022] Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J. Smola

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

[AACL 2022] Jaeseong Lee, Seung-won Hwang, Taesup Kim

Efficient Task Adaptation by Mixing Discovered Skills

[ICML Workshop 2022] JUNGSUB RHIM, Eunseok Yang, Taesup Kim

Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline

[RLDM Workshop 2022] Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

서울특별시 관악구 관악로 1, 43동 4층 (서울대학교 데이터사이언스대학원) 
43-506, 1 Gwanak-ro, Gwanak-gu, Seoul, Republic of Korea

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