Search Results for author: Ngoc N. Tran

Found 11 papers, 0 papers with code

Robust Contrastive Learning With Theory Guarantee

no code implementations16 Nov 2023 Ngoc N. Tran, Lam Tran, Hoang Phan, Anh Bui, Tung Pham, Toan Tran, Dinh Phung, Trung Le

Contrastive learning (CL) is a self-supervised training paradigm that allows us to extract meaningful features without any label information.

Contrastive Learning

Sharpness & Shift-Aware Self-Supervised Learning

no code implementations17 May 2023 Ngoc N. Tran, Son Duong, Hoang Phan, Tung Pham, Dinh Phung, Trung Le

Self-supervised learning aims to extract meaningful features from unlabeled data for further downstream tasks.

Classification Contrastive Learning +2

Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance

no code implementations5 Dec 2022 Ngoc N. Tran, Anh Tuan Bui, Dinh Phung, Trung Le

On the other hand, in order to achieve that, we need to devise even stronger adversarial attacks to challenge these defense models.

Improving Multi-task Learning via Seeking Task-based Flat Regions

no code implementations24 Nov 2022 Hoang Phan, Lam Tran, Ngoc N. Tran, Nhat Ho, Dinh Phung, Trung Le

Multi-Task Learning (MTL) is a widely-used and powerful learning paradigm for training deep neural networks that allows learning more than one objective by a single backbone.

Multi-Task Learning speech-recognition +1

From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection

no code implementations24 Feb 2021 Quang Huu Pham, Viet Anh Nguyen, Linh Bao Doan, Ngoc N. Tran, Ta Minh Thanh

In this paper, we propose a pipeline to adapt the general-purpose RoBERTa language model to a specific text classification task: Vietnamese Hate Speech Detection.

Hate Speech Detection Language Modelling +3

Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning

no code implementations24 Feb 2021 Toan Pham Van, Tam Minh Nguyen, Ngoc N. Tran, Hoai Viet Nguyen, Linh Bao Doan, Huy Quang Dao, Thanh Ta Minh

With great progress in the development of Generative Adversarial Networks (GANs), in recent years, the quest for insights in understanding and manipulating the latent space of GAN has gained more and more attention due to its wide range of applications.

Image Manipulation

Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices

no code implementations24 Feb 2021 Toan Pham Van, Ngoc N. Tran, Hoang Pham Minh, Tam Nguyen Minh anh Thanh Ta Minh

Among the two popular computing topologies for deploying neural network models in production are cloud-computing and edge-computing.

Cloud Computing Edge-computing

Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm

no code implementations18 Feb 2021 Quang Pham Huu, Thoi Hoang Dinh, Ngoc N. Tran, Toan Pham Van, Thanh Ta Minh

In this paper, the use of deep learning techniques to hide secret audio into the digital images is proposed.

Image Steganography

Cannot find the paper you are looking for? You can Submit a new open access paper.