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