Hong-Min Chu
Hong-Min Chu
Department of Computer Science, University of Maryland
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Cold diffusion: Inverting arbitrary image transforms without noise
A Bansal, E Borgnia, HM Chu, J Li, H Kazemi, F Huang, M Goldblum, ...
Advances in Neural Information Processing Systems 36, 2024
Universal guidance for diffusion models
A Bansal, HM Chu, A Schwarzschild, S Sengupta, M Goldblum, J Geiping, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Unsupervised machine learning ensemble for anomaly detection
HM Chu, YL Tsou, SW Yang
US Patent App. 15/283,308, 2018
Can active learning experience be transferred?
HM Chu, HT Lin
2016 IEEE 16th international conference on data mining (ICDM), 841-846, 2016
Deep generative models for weakly-supervised multi-label classification
HM Chu, CK Yeh, YCF Wang
Proceedings of the European Conference on Computer Vision (ECCV), 400-415, 2018
Deep learning with a rethinking structure for multi-label classification
YY Yang, YA Lin, HM Chu, HT Lin
Asian Conference on Machine Learning, 125-140, 2019
Entropy-based weighting in random forest models
YL Tsou, SW Yang, HM Chu
US Patent 11,315,045, 2022
Active learning at the imagenet scale
ZAS Emam, HM Chu, PY Chiang, W Czaja, R Leapman, M Goldblum, ...
arXiv preprint arXiv:2111.12880, 2021
Neftune: Noisy embeddings improve instruction finetuning
N Jain, P Chiang, Y Wen, J Kirchenbauer, HM Chu, G Somepalli, ...
arXiv preprint arXiv:2310.05914, 2023
Wrapnet: Neural net inference with ultra-low-resolution arithmetic
R Ni, H Chu, O Castañeda, P Chiang, C Studer, T Goldstein
arXiv preprint arXiv:2007.13242, 2020
Scheduling in visual fog computing: NP-completeness and practical efficient solutions
HM Chu, SW Yang, P Pillai, YK Chen
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Robust distributed anomaly detection using optimal weighted one-class random forests
YL Tsou, HM Chu, C Li, SW Yang
2018 IEEE International Conference on Data Mining (ICDM), 1272-1277, 2018
Distributed assignment of video analytics tasks in cloud computing environments to reduce bandwidth utilization
HM Chu, SW Yang, YK Chen
US Patent 10,567,248, 2020
A patient‐oriented, general‐practitioner‐level, deep‐learning‐based cutaneous pigmented lesion risk classifier on a smartphone
YPH Chin, ZY Hou, MY Lee, HM Chu, HH Wang, YT Lin, A Gittin, ...
British Journal of Dermatology 182 (6), 1498-1500, 2020
Panning for gold in federated learning: Targeted text extraction under arbitrarily large-scale aggregation
HM Chu, J Geiping, LH Fowl, M Goldblum, T Goldstein
The Eleventh International Conference on Learning Representations, 2022
Dynamic principal projection for cost-sensitive online multi-label classification
HM Chu, KH Huang, HT Lin
Machine Learning 108, 1193-1230, 2019
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Artículos 1–16