Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data YC Hsu, Y Shen, H Jin, Z Kira CVPR, 2020 | 536 | 2020 |
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 | 350 | 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 | 220 | 2018 |
Multi-class Classification without Multi-class Labels YC Hsu, Z Lv, J Schlosser, P Odom, Z Kira International Conference on Learning Representations (ICLR), 2019 | 172 | 2019 |
Training Student Networks for Acceleration with Conditional Adversarial Networks Z Xu, YC Hsu, J Huang British Machine Vision Conference (BMVC), 2018 | 168* | 2018 |
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 | 145 | 2021 |
Neural network-based clustering using pairwise constraints YC Hsu, Z Kira International Conference on Learning Representations (ICLR) Workshop Track, 2016 | 93 | 2016 |
Posterior Re-calibration for Imbalanced Datasets J Tian, YC Liu, N Glaser, YC Hsu, Z Kira NeurIPS 2020, 2020 | 65 | 2020 |
Learning to Cluster for Proposal-Free Instance Segmentation YC Hsu, Z Xu, Z Kira, J Huang International Joint Conference on Neural Networks (IJCNN), 2018 | 65 | 2018 |
Language model compression with weighted low-rank factorization YC Hsu, T Hua, S Chang, Q Lou, Y Shen, H Jin International Conference on Learning Representations (ICLR), 2022 | 44 | 2022 |
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 | 34 | 2021 |
A closer look at rehearsal-free continual learning JS Smith, J Tian, S Halbe, YC Hsu, Z Kira Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 32 | 2023 |
Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU Y Shen, YC Hsu, A Ray, H Jin ACL, 2021 | 27 | 2021 |
A geometric perspective towards neural calibration via sensitivity decomposition J Tian, D Yung, YC Hsu, Z Kira NeurIPS 2021 Spotlights (top 3%), 2021 | 25 | 2021 |
Spectrofluorometric assay for monoamine-preferring phenol sulfotransferase (SULT1A3) LY Lu, YC Hsu, YS Yang Analytical biochemistry 404 (2), 241-243, 2010 | 21 | 2010 |
Deep Image Category Discovery using a Transferred Similarity Function YC Hsu, Z Lv, Z Kira arXiv preprint arXiv:1612.01253, 2016 | 16 | 2016 |
Exploring Covariate and Concept Shift for Out-of-Distribution Detection J Tian, YC Hsu, Y Shen, H Jin, Z Kira NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021 | 9* | 2021 |
Lite-MDETR: A Lightweight Multi-Modal Detector Q Lou, YC Hsu, B Uzkent, T Hua, Y Shen, H Jin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 7 | 2022 |
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients YC Hsu, J Smith, Y Shen, Z Kira, H Jin | 5 | 2022 |
DictFormer: Tiny Transformer with Shared Dictionary Q Lou, T Hua, YC Hsu, Y Shen, H Jin International Conference on Learning Representations (ICLR), 2022 | 5 | 2022 |