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Yen-Chang Hsu
Yen-Chang Hsu
Samsung Research America
Verified email at gatech.edu
Title
Cited by
Cited by
Year
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
YC Hsu, Y Shen, H Jin, Z Kira
CVPR, 2020
5682020
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
3662018
Learning to cluster in order to Transfer across domains and tasks
YC Hsu, Z Lv, Z Kira
International Conference on Learning Representations (ICLR), 2018
2302018
Multi-class Classification without Multi-class Labels
YC Hsu, Z Lv, J Schlosser, P Odom, Z Kira
International Conference on Learning Representations (ICLR), 2019
1782019
Training Student Networks for Acceleration with Conditional Adversarial Networks
Z Xu, YC Hsu, J Huang
British Machine Vision Conference (BMVC), 2018
169*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
1602021
Neural network-based clustering using pairwise constraints
YC Hsu, Z Kira
International Conference on Learning Representations (ICLR) Workshop Track, 2016
942016
Posterior Re-calibration for Imbalanced Datasets
J Tian, YC Liu, N Glaser, YC Hsu, Z Kira
NeurIPS 2020, 2020
722020
Learning to Cluster for Proposal-Free Instance Segmentation
YC Hsu, Z Xu, Z Kira, J Huang
International Joint Conference on Neural Networks (IJCNN), 2018
682018
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
522022
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
392023
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
352021
Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU
Y Shen, YC Hsu, A Ray, H Jin
ACL, 2021
342021
A geometric perspective towards neural calibration via sensitivity decomposition
J Tian, D Yung, YC Hsu, Z Kira
NeurIPS 2021 Spotlights (top 3%), 2021
252021
Spectrofluorometric assay for monoamine-preferring phenol sulfotransferase (SULT1A3)
LY Lu, YC Hsu, YS Yang
Analytical biochemistry 404 (2), 241-243, 2010
212010
Deep Image Category Discovery using a Transferred Similarity Function
YC Hsu, Z Lv, Z Kira
arXiv preprint arXiv:1612.01253, 2016
162016
Token Fusion: Bridging the Gap between Token Pruning and Token Merging
M Kim, S Gao, YC Hsu, Y Shen, H Jin
WACV, 2023
92023
Numerical Optimizations for Weighted Low-rank Estimation on Language Models
T Hua, YC Hsu, F Wang, Q Lou, Y Shen, H Jin
EMNLP, 2022
92022
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
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients
YC Hsu, J Smith, Y Shen, Z Kira, H Jin
72022
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Articles 1–20