| 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 | 149 | 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 | 115 | 2020 |
| 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 | 85 | 2018 |
| Neural network-based clustering using pairwise constraints YC Hsu, Z Kira International Conference on Learning Representations (ICLR) Workshop Track, 2016 | 62 | 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 | 55 | 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 | 36 | 2018 |
| Spectrofluorometric assay for monoamine-preferring phenol sulfotransferase (SULT1A3) LY Lu, YC Hsu, YS Yang Analytical biochemistry 404 (2), 241-243, 2010 | 16 | 2010 |
| Posterior Re-calibration for Imbalanced Datasets J Tian, YC Liu, N Glaser, YC Hsu, Z Kira NeurIPS 2020, 2020 | 12 | 2020 |
| Deep Image Category Discovery using a Transferred Similarity Function YC Hsu, Z Lv, Z Kira arXiv preprint arXiv:1612.01253, 2016 | 12 | 2016 |
| 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 | 4 | 2021 |
| 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 | 4 | 2021 |
| 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 | 4 | 2018 |
| A geometric perspective towards neural calibration via sensitivity decomposition J Tian, D Yung, YC Hsu, Z Kira NeurIPS 2021 Spotlights (<3% accept), 2021 | 2 | 2021 |
| 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 |
Zsolt KiraAssistant Professor, Georgia Institute of TechnologyVerified email at gatech.edu
