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Bac Nguyen
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2020 – today
- 2024
- [c7]Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen, Mirco Ravanelli:
Skill: Similarity-Aware Knowledge Distillation for Speech Self-Supervised Learning. ICASSP Workshops 2024: 675-679 - [i7]Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen, Mirco Ravanelli:
SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised Learning. CoRR abs/2402.16830 (2024) - [i6]Ankit Vani, Bac Nguyen, Samuel Lavoie, Ranjay Krishna, Aaron C. Courville:
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision. CoRR abs/2404.15721 (2024) - [i5]Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville:
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. CoRR abs/2407.03036 (2024) - 2023
- [c6]Duy Dang-Pham, Karlheinz Kautz, Mathews Nkhoma, Mai Do Thi Hoang, Phuong Do, Bac Nguyen:
Resource orchestration and digitalisation at a public hospital in Vietnam. ACIS 2023 - [c5]Bac Nguyen, Fabien Cardinaux, Stefan Uhlich:
Autotts: End-to-End Text-to-Speech Synthesis Through Differentiable Duration Modeling. ICASSP 2023: 1-5 - [c4]Bac Nguyen, Stefan Uhlich, Fabien Cardinaux:
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation. ICASSP 2023: 1-5 - [c3]Fabian Kögel, Bac Nguyen, Fabien Cardinaux:
Towards Robust FastSpeech 2 by Modelling Residual Multimodality. INTERSPEECH 2023: 4309-4313 - [i4]Bac Nguyen, Stefan Uhlich, Fabien Cardinaux:
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation. CoRR abs/2303.03717 (2023) - [i3]Fabian Kögel, Bac Nguyen, Fabien Cardinaux:
Towards Robust FastSpeech 2 by Modelling Residual Multimodality. CoRR abs/2306.01442 (2023) - 2022
- [c2]Bac Nguyen, Fabien Cardinaux:
NVC-Net: End-To-End Adversarial Voice Conversion. ICASSP 2022: 7012-7016 - [i2]Marie Biolková, Bac Nguyen:
Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition. CoRR abs/2203.09849 (2022) - 2021
- [j11]Michiel Stock, Bac Nguyen, Wouter Courtens, Hilbran Verstraete, Eric W. M. Stienen, Bernard De Baets:
Otolith identification using a deep hierarchical classification model. Comput. Electron. Agric. 180: 105883 (2021) - [i1]Vivek Chalumuri, Bac Nguyen:
A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings. CoRR abs/2103.15939 (2021) - 2020
- [j10]Bac Nguyen, Bernard De Baets:
Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling. Neurocomputing 402: 209-219 (2020) - [j9]Bac Nguyen, Carlos Morell, Bernard De Baets:
Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent. IEEE Trans. Cybern. 50(3): 1072-1083 (2020)
2010 – 2019
- 2019
- [j8]Bac Nguyen, Francesc J. Ferri, Carlos Morell, Bernard De Baets:
An efficient method for clustered multi-metric learning. Inf. Sci. 471: 149-163 (2019) - [j7]Bac Nguyen, Bernard De Baets:
Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification. IEEE Trans. Image Process. 28(2): 589-600 (2019) - [j6]Bac Nguyen, Bernard De Baets:
Kernel-Based Distance Metric Learning for Supervised k-Means Clustering. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3084-3095 (2019) - 2018
- [j5]Bac Nguyen, Carlos Morell, Bernard De Baets:
Distance metric learning for ordinal classification based on triplet constraints. Knowl. Based Syst. 142: 17-28 (2018) - [j4]Bac Nguyen, Bernard De Baets:
An approach to supervised distance metric learning based on difference of convex functions programming. Pattern Recognit. 81: 562-574 (2018) - 2017
- [j3]Bac Nguyen, Carlos Morell, Bernard De Baets:
Supervised distance metric learning through maximization of the Jeffrey divergence. Pattern Recognit. 64: 215-225 (2017) - [j2]Bac Nguyen, Carlos Morell, Bernard De Baets:
Distance metric learning with the Universum. Pattern Recognit. Lett. 100: 37-43 (2017) - [c1]Bac Nguyen, Carlos Morell, Bernard De Baets:
Distance metric learning: a two-phase approach. ESANN 2017 - 2016
- [j1]Bac Nguyen, Carlos Morell, Bernard De Baets:
Large-scale distance metric learning for k-nearest neighbors regression. Neurocomputing 214: 805-814 (2016)
Coauthor Index
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last updated on 2024-09-06 00:38 CEST by the dblp team
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