Следене
Kyungmin Kim
Kyungmin Kim
CLOVA, NAVER
Потвърден имейл адрес: bi.snu.ac.kr - Начална страница
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Позовавания
Позовавания
Година
Deepstory: Video story qa by deep embedded memory networks
KM Kim, MO Heo, SH Choi, BT Zhang
arXiv preprint arXiv:1707.00836, 2017
1942017
Multimodal Dual Attention Memory for Video Story Question Answering
Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang
European Conference on Computer Vision, 2018
91*2018
Self-supervised auxiliary learning with meta-paths for heterogeneous graphs
D Hwang, J Park, S Kwon, KM Kim, JW Ha, HJ Kim
Advances in Neural Information Processing Systems 33, 10294-10305, 2020
732020
Automated construction of visual-linguistic knowledge via concept learning from cartoon videos
JW Ha, KM Kim, BT Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
452015
Metropolis-hastings data augmentation for graph neural networks
H Park, S Lee, S Kim, J Park, J Jeong, KM Kim, JW Ha, HJ Kim
Advances in Neural Information Processing Systems 34, 19010-19020, 2021
392021
Scaling law for recommendation models: Towards general-purpose user representations
K Shin, H Kwak, SY Kim, MN Ramström, J Jeong, JW Ha, KM Kim
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4596-4604, 2023
272023
One4all user representation for recommender systems in e-commerce
K Shin, H Kwak, KM Kim, M Kim, YJ Park, J Jeong, S Jung
arXiv preprint arXiv:2106.00573, 2021
252021
Social network analysis of TV drama characters via deep concept hierarchies
CJ Nan, KM Kim, BT Zhang
Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015
252015
Pororobot: A deep learning robot that plays video q&a games
KM Kim, CJ Nan, JW Ha, YJ Heo, BT Zhang
2015 AAAI fall symposium series, 2015
222015
Tripartite heterogeneous graph propagation for large-scale social recommendation
KM Kim, D Kwak, H Kwak, YJ Park, S Sim, JH Cho, M Kim, J Kwon, ...
arXiv preprint arXiv:1908.02569, 2019
182019
Know your action set: Learning action relations for reinforcement learning
A Jain, N Kosaka, KM Kim, JJ Lim
International Conference on Learning Representations, 2021
122021
Ask me what you need: Product retrieval using knowledge from gpt-3
SY Kim, H Park, K Shin, KM Kim
arXiv preprint arXiv:2207.02516, 2022
82022
Direct preference-based policy optimization without reward modeling
G An, J Lee, X Zuo, N Kosaka, KM Kim, HO Song
Advances in Neural Information Processing Systems 36, 70247-70266, 2023
72023
Deformable graph transformer
J Park, S Yun, H Park, J Kang, J Jeong, KM Kim, JW Ha, HJ Kim
arXiv preprint arXiv:2206.14337, 2022
72022
Vq-ar: Vector quantized autoregressive probabilistic time series forecasting
K Rasul, YJ Park, MN Ramström, KM Kim
arXiv preprint arXiv:2205.15894, 2022
72022
Self-supervised auxiliary learning for graph neural networks via meta-learning
D Hwang, J Park, S Kwon, KM Kim, JW Ha, HJ Kim
arXiv preprint arXiv:2103.00771, 2021
72021
Multi-manifold learning for large-scale targeted advertising system
K Shin, YJ Park, KM Kim, S Kwon
arXiv preprint arXiv:2007.02334, 2020
72020
Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, and Jung-Woo Ha. 2019. Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
KM Kim, D Kwak, H Kwak, YJ Park
arXiv preprint arXiv:1908.02569, 2019
72019
Relation-aware language-graph transformer for question answering
J Park, HK Choi, J Ko, H Park, JH Kim, J Jeong, K Kim, H Kim
Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13457 …, 2023
62023
A worrying analysis of probabilistic time-series models for sales forecasting
S Jung, KM Kim, H Kwak, YJ Park
PMLR, 2020
62020
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