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Hongjun Choi
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Pi-net: A deep learning approach to extract topological persistence images
A Som, H Choi, KN Ramamurthy, MP Buman, P Turaga
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
382020
AMC-loss: Angular margin contrastive loss for improved explainability in image classification
H Choi, A Som, P Turaga
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
292020
Temporal alignment improves feature quality: an experiment on activity recognition with accelerometer data
H Choi, Q Wang, M Toledo, P Turaga, M Buman, A Srivastava
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
152018
Role of orthogonality constraints in improving properties of deep networks for image classification
H Choi, A Som, P Turaga
arXiv preprint arXiv:2009.10762, 2020
102020
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study
H Choi, ES Jeon, A Shukla, P Turaga
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
82022
Leveraging angular distributions for improved knowledge distillation
ES Jeon, H Choi, A Shukla, P Turaga
Neurocomputing 518, 466-481, 2023
62023
Topological knowledge distillation for wearable sensor data
ES Jeon, H Choi, A Shukla, Y Wang, MP Buman, P Turaga
2022 56th Asilomar Conference on Signals, Systems, and Computers, 837-842, 2022
52022
Topological persistence guided knowledge distillation for wearable sensor data
ES Jeon, H Choi, A Shukla, Y Wang, H Lee, MP Buman, P Turaga
Engineering Applications of Artificial Intelligence 130, 107719, 2024
32024
Interpretable COVID-19 chest x-ray classification via orthogonality constraint
EY Wang, A Som, A Shukla, H Choi, P Turaga
ACM Conference on Health, Inference, and Learning (CHIL) Workshops. 2021, 2021
32021
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data
ES Jeon, H Choi, A Shukla, Y Wang, MP Buman, P Turaga
IEEE Transactions on Instrumentation and Measurement, 2023
12023
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization
H Choi, JJ Thiagarajan, R Glatt, S Liu
arXiv preprint arXiv:2407.00356, 2024
2024
Unmasking the Underlying Correlations in Nuclear Reaction Cross Sections
K Wendt, N Schunck, S Liu, X Chen, R Glatt, H Choi, M Huang, S Mitra, ...
Bulletin of the American Physical Society, 2024
2024
Unmasking Correlations in Nuclear Cross Sections with Graph Neural Networks
S Mitra, H Choi, S Liu, R Glatt, K Wendt, N Schunck
arXiv preprint arXiv:2404.02332, 2024
2024
Building Reliable and Robust Deep Neural Networks with Improved Representations using Model Distillation and Deep Constraints
H Choi
Arizona State University, 2023
2023
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Artikelen 1–14