Search Results for author: Binh T. Nguyen

Found 26 papers, 13 papers with code

Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering

no code implementations4 Dec 2022 Duy M. H. Nguyen, Hoang Nguyen, Mai T. N. Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag

Recent breakthroughs in self-supervised learning (SSL) offer the ability to overcome the lack of labeled training samples by learning feature representations from unlabeled data.

When can we reconstruct the ancestral state? Beyond Brownian motion

no code implementations26 Jul 2022 Nhat L. Vu, Thanh P. Nguyen, Binh T. Nguyen, Vu Dinh, Lam Si Tung Ho

Reconstructing the ancestral state of a group of species helps answer many important questions in evolutionary biology.

A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension

no code implementations29 May 2022 Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot

Identifying the relevant variables for a classification model with correct confidence levels is a central but difficult task in high-dimension.

regression

Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification

1 code implementation26 May 2022 Thu Nguyen, Quang M. Le, Son N. T. Tu, Binh T. Nguyen

Fisher Discriminant Analysis (FDA) is one of the essential tools for feature extraction and classification.

Classification

FPSRS: A Fusion Approach for Paper Submission Recommendation System

no code implementations12 May 2022 Son T. Huynh, Nhi Dang, Dac H. Nguyen, Phong T. Huynh, Binh T. Nguyen

Recommender systems have been increasingly popular in entertainment and consumption and are evident in academics, especially for applications that suggest submitting scientific articles to scientists.

Recommendation Systems

Fall detection using multimodal data

no code implementations12 May 2022 Thao V. Ha, Hoang Nguyen, Son T. Huynh, Trung T. Nguyen, Binh T. Nguyen

In recent years, the occurrence of falls has increased and has had detrimental effects on older adults.

SimCPSR: Simple Contrastive Learning for Paper Submission Recommendation System

1 code implementation12 May 2022 Duc H. Le, Tram T. Doan, Son T. Huynh, Binh T. Nguyen

This study suggests a more advanced method for enhancing the efficiency of the paper submission recommendation system compared to previous approaches when we respectively achieve 0. 5173, 0. 8097, 0. 8862, 0. 9496 for Top 1, 3, 5, and 10 accuracies on the test set for combining the title, abstract, and keywords as input features.

Contrastive Learning Language Modelling +1

TaDeR: A New Task Dependency Recommendation for Project Management Platform

1 code implementation12 May 2022 Quynh Nguyen, Dac H. Nguyen, Son T. Huynh, Hoa K. Dam, Binh T. Nguyen

This paper proposes an efficient task dependency recommendation algorithm to suggest tasks dependent on a given task that the user has just created.

Feature Engineering Management

An Improved Subject-Independent Stress Detection Model Applied to Consumer-grade Wearable Devices

no code implementations18 Mar 2022 Van-Tu Ninh, Manh-Duy Nguyen, Sinéad Smyth, Minh-Triet Tran, Graham Healy, Binh T. Nguyen, Cathal Gurrin

Using our proposed model architecture, we compare the accuracy between stress detection models that use measures from each individual signal source, and one model employing the fusion of multiple sensor sources.

Management

Posterior concentration and fast convergence rates for generalized Bayesian learning

no code implementations19 Nov 2021 Lam Si Tung Ho, Binh T. Nguyen, Vu Dinh, Duy Nguyen

We prove that under the multi-scale Bernstein's condition, the generalized posterior distribution concentrates around the set of optimal hypotheses and the generalized Bayes estimator can achieve fast learning rate.

regression

An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator

1 code implementation21 Oct 2021 Cuong V. Nguyen, Tien-Dung Cao, Tram Truong-Huu, Khanh N. Pham, Binh T. Nguyen

In this paper, we perform an empirical study on the impact of several loss functions on the performance of standard GAN models, Deep Convolutional Generative Adversarial Networks (DCGANs).

Leaf Recognition Using Convolutional Neural Networks Based Features

1 code implementation4 Aug 2021 Boi M. Quach, Dinh V. Cuong, Nhung Pham, Dang Huynh, Binh T. Nguyen

In recent years, there is a considerable increase in the number of studies related to plant taxonomy.

An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models

1 code implementation26 Jul 2021 Hieu T. Ung, Huy Q. Ung, Binh T. Nguyen

Accurate insect pest recognition is significant to protect the crop or take the early treatment on the infected yield, and it helps reduce the loss for the agriculture economy.

An Efficient Transformer-Based Model for Vietnamese Punctuation Prediction

1 code implementation IEA/AIE 2021 Hieu Tran, Cuong V. Dinh, Quang Pham, Binh T. Nguyen

In both formal and informal texts, missing punctuation marks make the texts confusing and challenging to read.

DPER: Efficient Parameter Estimation for Randomly Missing Data

1 code implementation6 Jun 2021 Thu Nguyen, Khoi Minh Nguyen-Duy, Duy Ho Minh Nguyen, Binh T. Nguyen, Bruce Alan Wade

The missing data problem has been broadly studied in the last few decades and has various applications in different areas such as statistics or bioinformatics.

Imputation

A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval

1 code implementation4 Jun 2021 Manh-Duy Nguyen, Binh T. Nguyen, Cathal Gurrin

In this paper, we introduce the Local and Global Scene Graph Matching (LGSGM) model that enhances the state-of-the-art method by integrating an extra graph convolution network to capture the general information of a graph.

Graph Matching Image Retrieval +5

OASIS: An Active Framework for Set Inversion

no code implementations31 May 2021 Binh T. Nguyen, Duy M. Nguyen, Lam Si Tung Ho, Vu Dinh

In this work, we introduce a novel method for solving the set inversion problem by formulating it as a binary classification problem.

Active Learning

TATL: Task Agnostic Transfer Learning for Skin Attributes Detection

no code implementations4 Apr 2021 Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag

Existing skin attributes detection methods usually initialize with a pre-trained Imagenet network and then fine-tune on a medical target task.

Transfer Learning

EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data

1 code implementation23 Sep 2020 Thu Nguyen, Duy H. M. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade

The problem of monotone missing data has been broadly studied during the last two decades and has many applications in different fields such as bioinformatics or statistics.

Imputation

Fast learning rates with heavy-tailed losses

no code implementations NeurIPS 2016 Vu Dinh, Lam Si Tung Ho, Duy Nguyen, Binh T. Nguyen

We study fast learning rates when the losses are not necessarily bounded and may have a distribution with heavy tails.

Quantization

Learning From Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers

no code implementations12 Aug 2014 Vu Dinh, Lam Si Tung Ho, Nguyen Viet Cuong, Duy Nguyen, Binh T. Nguyen

We prove new fast learning rates for the one-vs-all multiclass plug-in classifiers trained either from exponentially strongly mixing data or from data generated by a converging drifting distribution.

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