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Hoang Thanh-Tung
Hoang Thanh-Tung
University of Engineering and Technology, Vietnam National University Hanoi
Verificeret mail på vnu.edu.vn
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Catastrophic forgetting and mode collapse in GANs
H Thanh-Tung, T Tran
2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020
3542020
Improving generalization and stability of generative adversarial networks
H Thanh-Tung, T Tran, S Venkatesh
ICLR, 2019
1692019
Toward a Generalization Metric for Deep Generative Models
H Thanh-Tung, T Tran
1st I Can't Believe It's Not Better workshop at NeurIPS, 2020
72020
A Cosine Similarity-based Method for Out-of-Distribution Detection
HN Nguyen, N Hung-Quang, TA Ta, T Nguyen-Tang, KD Doan, ...
ICML 2023: The Second Workshop on Spurious Correlations, Invariance and …, 2023
4*2023
On effects of steering latent representation for large language model unlearning
D Huu-Tien, TT Pham, H Thanh-Tung, N Inoue
The 39th Annual AAAI Conference on Artificial Intelligence, 2024
32024
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora
ATV Dau, NDQ Bui, T Nguyen-Duc, H Thanh-Tung
Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022
32022
Class based Influence Functions for Error Detection
T Nguyen-Duc*, H Thanh-Tung*, QH Tran*, D Huu-Tien, HN Nguyen, ...
The 61st Annual Meeting of the Association for Computational Linguistics, 2023
12023
Learning to Stop Overthinking at Test Time
HT Bao, NC Dat, ND Anh, H Thanh-Tung
2025
Improving the Robustness of Representation Misdirection for Large Language Model Unlearning
D Huu-Tien, H Thanh-Tung, LM Nguyen, N Inoue
arXiv preprint arXiv:2501.19202, 2025
2025
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
QH Nguyen, N Ngoc-Hieu, TA Ta, T Nguyen-Tang, KS Wong, ...
The Thirteenth International Conference on Learning Representations, 2024
2024
Clean-label Backdoor Attacks by Selectively Poisoning with Limited Information from Target Class
N Hung-Quang, NH Nguyen, TA Ta, T Nguyen-Tang, H Thanh-Tung, ...
NeurIPS 2023 Workshop on Backdoors in Deep Learning - The Good, the Bad, and …, 2023
2023
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Artikler 1–11