발행물

전체 논문

56

21

Abductive Symbolic Solver on Abstraction and Reasoning Corpus
Mintaek Lim, Seokki Lee, Liyew Woletemaryam Abitew, Sundong Kim
IJCAI Workshop on Logical Foundations of Neuro-Symbolic AI, 2024

22

Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL
Jihwan Lee, Woochang Sim, Sejin Kim, Sundong Kim
IJCAI Workshop on the Interactions between Analogical Reasoning and Machine Learning, 2024

23

O2ARC 3.0: A Platform for Solving and Creating ARC Tasks
Suyeon Shim, Dohyun Ko, Hosung Lee, Seokki Lee, Doyoon Song, Sanha Hwang, Sejin Kim, Sundong Kim
IJCAI (Demo), 2024

24

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim
CoLLAs, 2024

25

Explainable Product Classification for Customs
Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha
ACM Transactions on Intelligent Systems and Technology, 2024

26

Towards Attack-Tolerant Federated Learning via Critical Parameter Analysis
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Benjamin Zhu, Xing Xie, Meeyoung Cha
ICCV, 2023

27

Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer
Jaehyun Park, Jaegyun Im, Sanha Hwang, Mintaek Lim, Sabina Ualibekova, Sejin Kim, Sundong Kim
ICML Workshop on Interactive Learning with Implicit Human Feedback, 2023

28

FedDefender: Client-Side Attack-Tolerant Federated Learning
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Benjamin Zhu, Xing Xie, Meeyoung Cha
KDD, 2023

29

Customs Import Declaration Datasets
Chaeyoon Jeong, Sundong Kim, Jaewoo Park, Yeonsoo Choi
KDD Workshop on Machine Learning in Finance, 2023

30

Machine Learning Driven Aid Classification for Sustainable Development
Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim, Jisoo Sim, Meeyoung Cha, Kyung-Ryul Park
IJCAI, 2023