Jin-Hwa Kim
Jin-Hwa Kim
NAVER AI Lab & Seoul National University
Verified email at - Homepage
Cited by
Cited by
Bilinear Attention Networks
JH Kim, J Jun, BT Zhang
Advances in Neural Information Processing Systems 31 (NeurIPS), 1571-1581, 2018
Hadamard Product for Low-rank Bilinear Pooling
JH Kim, KW On, W Lim, J Kim, JW Ha, BT Zhang
The 5th International Conference on Learning Representations (ICLR), 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
SW Lee, JH Kim, J Jun, JW Ha, BT Zhang
Advances in Neural Information Processing Systems 30 (NIPS), 4653-4663, 2017
Multimodal Residual Learning for Visual QA
JH Kim, SW Lee, D Kwak, MO Heo, J Kim, JW Ha, BT Zhang
Advances In Neural Information Processing Systems 29 (NIPS), 361-369, 2016
Multimodal Dual Attention Memory for Video Story Question Answering
K Kim, SH Choi, JH Kim, BT Zhang
European Conference on Computer Vision (ECCV), 2018
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
JH Kim*, N Kitaev*, X Chen, M Rohrbach, BT Zhang, Y Tian, D Batra, ...
The 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2019
rnn: Recurrent Library for Torch
N Léonard, S Waghmare, Y Wang, JH Kim
arXiv preprint arXiv:1511.07889, 2015
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
JH Kim, DH Kim, S Yi, T Lee
arXiv preprint:arXiv:2105.14737, 2021
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer
GC Kang, J Park, H Lee, BT Zhang*, JH Kim*
Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2021
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
J Seo, W Jang, MS Kwak, J Ko, H Kim, J Kim, JH Kim*, J Lee*, S Kim*
arXiv preprint arXiv:2303.07937, 2023
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
J Oh, S Kim, N Ho, JH Kim, H Song*, SY Yun*
Advances in Neural Information Processing Systems 35 (NeurIPS), 2022
Korean Localization of Visual Question Answering for Blind People
JH Kim*, S Lim*, J Park, H Cho
AI for Social Good workshop at NeurIPS, 2019
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
JH Kim, Y Kim, J Lee, KM Yoo, SW Lee
Advances in Neural Information Processing Systems 35 (NeurIPS), 2022
TrimZero: A Torch Recurrent Module for Efficient Natural Language Processing
JH Kim, J Kim, JW Ha, BT Zhang
Proceedings of KIIS Spring Conference 26 (1), 165-166, 2016
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning
J Oh, S Kim, N Ho, JH Kim, H Song, SY Yun
31st ACM International Conference on Information and Knowledge Management …, 2022
Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT
J Ahn, H Lee, JH Kim, A Oh
NAACL 2022 4th Workshop on Gender Bias for Natural Language Processing, 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
SJ Kwon, J Kim, J Bae, KM Yoo, JH Kim, B Park, B Kim, JW Ha, N Sung, ...
Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2022
Logit Mixing Training for More Reliable and Accurate Prediction
D Bang, K Baek, J Kim, Y Jeon, JH Kim, J Kim, J Lee, H Shim
The 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 2022
Multi-step Estimation for Gradient-based Meta-learning
JH Kim, J Park, Y Choi
arXiv preprint arXiv:2006.04298, 2020
3D-aware Blending with Generative NeRFs
H Kim, G Lee, Y Choi, JH Kim, JY Zhu
arXiv preprint arXiv:2302.06608, 2023
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