Yen-Chang Hsu
Yen-Chang Hsu
Samsung Research America
Verified email at gatech.edu
Title
Cited by
Cited by
Year
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
YC Hsu, YC Liu, A Ramasamy, Z Kira
NeurIPS Continual Learning Workshop, 2018
1492018
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
YC Hsu, Y Shen, H Jin, Z Kira
CVPR, 2020
1152020
Training Student Networks for Acceleration with Conditional Adversarial Networks
Z Xu, YC Hsu, J Huang
British Machine Vision Conference (BMVC), 2018
101*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
852018
Neural network-based clustering using pairwise constraints
YC Hsu, Z Kira
International Conference on Learning Representations (ICLR) Workshop Track, 2016
622016
Multi-class Classification without Multi-class Labels
YC Hsu, Z Lv, J Schlosser, P Odom, Z Kira
International Conference on Learning Representations (ICLR), 2019
552019
Learning to Cluster for Proposal-Free Instance Segmentation
YC Hsu, Z Xu, Z Kira, J Huang
International Joint Conference on Neural Networks (IJCNN), 2018
362018
Spectrofluorometric assay for monoamine-preferring phenol sulfotransferase (SULT1A3)
LY Lu, YC Hsu, YS Yang
Analytical biochemistry 404 (2), 241-243, 2010
162010
Posterior Re-calibration for Imbalanced Datasets
J Tian, YC Liu, N Glaser, YC Hsu, Z Kira
NeurIPS 2020, 2020
122020
Deep Image Category Discovery using a Transferred Similarity Function
YC Hsu, Z Lv, Z Kira
arXiv preprint arXiv:1612.01253, 2016
122016
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
J Smith, YC Hsu, J Balloch, Y Shen, H Jin, Z Kira
ICCV 2021, 2021
42021
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
J Smith, J Balloch, YC Hsu, Z Kira
International Joint Conference on Neural Networks (IJCNN), 2021
42021
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
42018
A geometric perspective towards neural calibration via sensitivity decomposition
J Tian, D Yung, YC Hsu, Z Kira
NeurIPS 2021 Spotlights (<3% accept), 2021
22021
Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU
Y Shen, YC Hsu, A Ray, H Jin
ACL-IJCNLP 2021, 2021
2021
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
T Hua, Y Shen, C Zhao, YC Hsu, H Jin
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
2021
Exploring Covariate and Concept Shift for Out-of-Distribution Detection
J Tian, YC Hsu, Y Shen, H Jin, Z Kira
2021
Learning from Pairwise Similarity for Visual Categorization
YC Hsu
Georgia Institute of Technology, 2020
2020
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Articles 1–18