Yen-Chang Hsu
Yen-Chang Hsu
Samsung Research America
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Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
YC Hsu, YC Liu, Z Kira
NeurIPS Continual Learning Workshop, 2018
Training Student Networks for Acceleration with Conditional Adversarial Networks
Z Xu, YC Hsu, J Huang
British Machine Vision Conference (BMVC), 2018
Learning to cluster in order to Transfer across domains and tasks
YC Hsu, Z Lv, Z Kira
International Conference on Learning Representations (ICLR), 2018
Neural network-based clustering using pairwise constraints
YC Hsu, Z Kira
International Conference on Learning Representations (ICLR) Workshop Track, 2016
Multi-class Classification without Multi-class Labels
YC Hsu, Z Lv, J Schlosser, P Odom, Z Kira
International Conference on Learning Representations (ICLR), 2019
Learning to Cluster for Proposal-Free Instance Segmentation
YC Hsu, Z Xu, Z Kira, J Huang
International Joint Conference on Neural Networks (IJCNN), 2018
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
YC Hsu, Y Shen, H Jin, Z Kira
CVPR, 2020
Spectrofluorometric assay for monoamine-preferring phenol sulfotransferase (SULT1A3)
LY Lu, YC Hsu, YS Yang
Analytical biochemistry 404 (2), 241-243, 2010
Deep Image Category Discovery using a Transferred Similarity Function
YC Hsu, Z Lv, Z Kira
arXiv preprint arXiv:1612.01253, 2016
A probabilistic constrained clustering for transfer learning and image category discovery
YC Hsu, Z Lv, J Schlosser, P Odom, Z Kira
CVPR Deep Vision Workshop, 2018
Posterior Re-calibration for Imbalanced Datasets
J Tian, YC Liu, N Glaser, YC Hsu, Z Kira
NeurIPS 2020, 2020
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
J Smith, J Balloch, YC Hsu, Z Kira
arXiv preprint arXiv:2101.09536, 2021
Learning from Pairwise Similarity for Visual Categorization
YC Hsu
Georgia Institute of Technology, 2020
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