Seuraa
Tuan Dinh
Tuan Dinh
Vahvistettu sähköpostiosoite verkkotunnuksessa ucsf.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Lift: Language-interfaced fine-tuning for non-language machine learning tasks
T Dinh, Y Zeng, R Zhang, Z Lin, M Gira, S Rajput, J Sohn, ...
Advances in Neural Information Processing Systems 35, 11763-11784, 2022
562022
WAKE: a behind-the-ear wearable system for microsleep detection
N Pham, T Dinh, Z Raghebi, T Kim, N Bui, P Nguyen, H Truong, ...
Proceedings of the 18th International Conference on Mobile Systems …, 2020
462020
Explicitly imposing constraints in deep networks via conditional gradients gives improved generalization and faster convergence
SN Ravi, T Dinh, VS Lokhande, V Singh
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4772-4779, 2019
442019
Constrained deep learning using conditional gradient and applications in computer vision
SN Ravi, T Dinh, V Lokhande, V Singh
arXiv preprint arXiv:1803.06453, 2018
252018
Improved input reprogramming for gan conditioning
T Dinh, D Seo, Z Du, L Shang, K Lee
arXiv preprint arXiv:2201.02692, 2022
82022
Large language models of code fail at completing code with potential bugs
T Dinh, J Zhao, S Tan, R Negrinho, L Lausen, S Zha, G Karypis
Advances in Neural Information Processing Systems 36, 2024
72024
Detection of microsleep events with a behind-the-ear wearable system
N Pham, T Dinh, T Kim, Z Raghebi, N Bui, H Truong, T Nguyen, ...
IEEE Transactions on Mobile Computing 22 (2), 841-857, 2021
72021
Performing group difference testing on graph structured data from Gans: Analysis and applications in neuroimaging
TQ Dinh, Y Xiong, Z Huang, T Vo, A Mishra, WH Kim, SN Ravi, V Singh
IEEE transactions on pattern analysis and machine intelligence 44 (2), 877-889, 2020
72020
PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence
N Pham, H Jia, M Tran, T Dinh, N Bui, Y Kwon, D Ma, P Nguyen, ...
Proceedings of the 28th Annual International Conference on Mobile Computing …, 2022
62022
Forecasting dengue incidence: Statistical and dynamic models
TH Cao, AD Nguyen, TQ Dinh, QC Luong, HT Diep
Oxford Journal of Intelligent Decision and Data Science 2018, 1-13, 2018
42018
Coded-invnet for resilient prediction serving systems
T Dinh, K Lee
International Conference on Machine Learning, 2749-2759, 2021
32021
Forecasting the magnitude of dengue in Southern Vietnam
TQ Dinh, HV Le, TH Cao, QC Luong, HT Diep
Intelligent Information and Database Systems: 8th Asian Conference, ACIIDS …, 2016
32016
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
T Dinh, J Sohn, S Rajput, T Ossowski, Y Ming, J Hu, D Papailiopoulos, ...
arXiv preprint arXiv:2205.11616, 2022
12022
Unsupervised learning of three dimensional visual alphabet
TL Hoang, A Akhriev, NM Tran, B Eck, T Dinh
US Patent 11,087,525, 2021
12021
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition
Y Yu, CHH Yang, T Dinh, S Ryu, J Kolehmainen, R Ren, D Filimonov, ...
arXiv preprint arXiv:2401.10447, 2024
2024
Towards Modular Neural Networks with Pre-trained Models
TQ Dinh
The University of Wisconsin-Madison, 2023
2023
Training system for artificial neural networks having a global weight constrainer
SN Ravi, TQ Dinh, VSRS Lokhande, V Singh
US Patent 11,526,760, 2022
2022
PROS: An efficient pattern-driven compressive sensing framework for low-power biopotential-based wearable with on-chip intelligence.(2022)
N PHAM, H JIA, M TRAN, T DINH, N BUI, Y KWON, D MA, P NGUYEN, ...
Proceedings of the 28th ACM Annual International Conference on Mobile …, 2022
2022
Explicitly imposing constraints in deep networks via conditional gradients gives improved generalization and faster convergence
SN Ravi, T Dinh, VS Lokhande, V Singh
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4772-4779, 2019
2019
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–19