Mitigating Embedding Collapse in Diffusion Models for Categorical Data.
CoRR, 2024
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving.
CoRR, 2024
Skill: Similarity-Aware Knowledge Distillation for Speech Self-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision.
Proceedings of the Computer Vision - ECCV 2024, 2024
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning.
Proceedings of the Computer Vision - ECCV 2024, 2024
Towards Robust FastSpeech 2 by Modelling Residual Multimodality.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Autotts: End-to-End Text-to-Speech Synthesis Through Differentiable Duration Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2023
Resource orchestration and digitalisation at a public hospital in Vietnam.
Proceedings of the Australasian Conference on Information Systems, 2023
Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition.
CoRR, 2022
NVC-Net: End-To-End Adversarial Voice Conversion.
Proceedings of the IEEE International Conference on Acoustics, 2022
A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings.
CoRR, 2021
Otolith identification using a deep hierarchical classification model.
Comput. Electron. Agric., 2021
Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent.
IEEE Trans. Cybern., 2020
Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling.
Neurocomputing, 2020
Kernel-Based Distance Metric Learning for Supervised k-Means Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2019
Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification.
IEEE Trans. Image Process., 2019
An efficient method for clustered multi-metric learning.
Inf. Sci., 2019
An approach to supervised distance metric learning based on difference of convex functions programming.
Pattern Recognit., 2018
Distance metric learning for ordinal classification based on triplet constraints.
Knowl. Based Syst., 2018
Distance metric learning with the Universum.
Pattern Recognit. Lett., 2017
Supervised distance metric learning through maximization of the Jeffrey divergence.
Pattern Recognit., 2017
Distance metric learning: a two-phase approach.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Large-scale distance metric learning for k-nearest neighbors regression.
Neurocomputing, 2016