Sangwoo Mo
Sangwoo Mo
Ph.D. Student, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
InstaGAN: Instance-aware Image-to-Image Translation
S Mo, M Cho, J Shin
International Conference on Learning Representations, 2019
872019
Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning
S Park*, J Lee*, S Mo, J Shin
International Conference on Learning Representations, 2020
72020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
S Mo, M Cho, J Shin
CVPR AI for Content Creation Workshop, 2020
62020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
J Tack*, S Mo*, J Jeong, J Shin
Advances in Neural Information Processing Systems 33, 2020
62020
Deep Neural Network Approach in Electrical Impedance Tomography-based Real-time Soft Tactile Sensor
H Park, H Lee, K Park, S Mo, J Kim
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
52019
Contextual multi-armed bandits under feature uncertainty
SY Yun, JH Nam, S Mo, J Shin
arXiv preprint arXiv:1703.01347, 2017
42017
Mining GOLD Samples for Conditional GANs
S Mo, C Kim, S Kim, M Cho, J Shin
Advances in Neural Information Processing Systems, 6167-6178, 2019
12019
MASKER: Masked Keyword Regularization for Reliable Text Classification
SJ Moon, S Mo, K Lee, J Lee, J Shin
arXiv preprint arXiv:2012.09392, 2020
2020
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning
J Lee, S Park, S Mo, S Ahn, J Shin
arXiv preprint arXiv:2010.07611, 2020
2020
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Articles 1–9