b'Truyen Tran'

research

∙ 07/24/2023

Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction

Humans are highly adaptable, swiftly switching between different modes t...

0 Hung Tran, et al. ∙

research

∙ 01/17/2023

Memory-Augmented Theory of Mind Network

Social reasoning necessitates the capacity of theory of mind (ToM), the ...

0 Dung Nguyen, et al. ∙

research

∙ 10/23/2022

Functional Indirection Neural Estimator for Better Out-of-distribution Generalization

The capacity to achieve out-of-distribution (OOD) generalization is a ha...

0 Kha Pham, et al. ∙

research

∙ 09/21/2022

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation

Data-free Knowledge Distillation (DFKD) has attracted attention recently...

0 Kien Do, et al. ∙

research

∙ 07/08/2022

Video Dialog as Conversation about Objects Living in Space-Time

It would be a technological feat to be able to create a system that can ...

3 Hoang-Anh Pham, et al. ∙

research

∙ 05/25/2022

Guiding Visual Question Answering with Attention Priors

The current success of modern visual reasoning systems is arguably attri...

0 Thao Minh Le, et al. ∙

research

∙ 05/13/2022

Fast Conditional Network Compression Using Bayesian HyperNetworks

We introduce a conditional compression problem and propose a fast framew...

0 Phuoc Nguyen, et al. ∙

research

∙ 04/21/2022

Persistent-Transient Duality in Human Behavior Modeling

We propose to model the persistent-transient duality in human behavior u...

0 Hung Tran, et al. ∙

research

∙ 04/17/2022

Learning Theory of Mind via Dynamic Traits Attribution

Machine learning of Theory of Mind (ToM) is essential to build social ag...

0 Dung Nguyen, et al. ∙

research

∙ 02/24/2022

Towards Effective and Robust Neural Trojan Defenses via Input Filtering

Trojan attacks on deep neural networks are both dangerous and surreptiti...

0 Kien Do, et al. ∙

research

∙ 02/14/2022

Learning to Discover Medicines

Discovering new medicines is the hallmark of human endeavor to live a be...

0 Tri Minh Nguyen, et al. ∙

research

∙ 11/03/2021

Model-Based Episodic Memory Induces Dynamic Hybrid Controls

Episodic control enables sample efficiency in reinforcement learning by ...

12 Hung Le, et al. ∙

research

∙ 07/24/2021

Clustering by Maximizing Mutual Information Across Views

We propose a novel framework for image clustering that incorporates join...

10 Kien Do, et al. ∙

research

∙ 06/25/2021

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering

Video Question Answering (Video QA) is a powerful testbed to develop new...

11 Long Hoang Dang, et al. ∙

research

∙ 05/20/2021

A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos

The absence or abnormality of fidgety movements of joints or limbs is st...

0 Binh Nguyen-Thai, et al. ∙

research

∙ 04/12/2021

Object-Centric Representation Learning for Video Question Answering

Video question answering (Video QA) presents a powerful testbed for huma...

1 Long Hoang Dang, et al. ∙

research

∙ 03/24/2021

Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction

Motivation: Several accurate deep learning models have been proposed to ...

0 Tri Minh Nguyen, et al. ∙

research

∙ 03/03/2021

Learning Asynchronous and Sparse Human-Object Interaction in Videos

Human activities can be learned from video. With effective modeling it i...

0 Romero Morais, et al. ∙

research

∙ 12/03/2020

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization

We propose two generic methods for improving semi-supervised learning (S...

0 Kien Do, et al. ∙

research

∙ 11/19/2020

Logically Consistent Loss for Visual Question Answering

Given an image, a back-ground knowledge, and a set of questions about an...

0 Anh Cat Le Ngo, et al. ∙

research

∙ 11/05/2020

Goal-driven Long-Term Trajectory Prediction

The prediction of humans' short-term trajectories has advanced significa...

9 Hung Tran, et al. ∙

research

∙ 11/02/2020

Toward a Generalization Metric for Deep Generative Models

Measuring the generalization capacity of Deep Generative Models (DGMs) i...

0 Hoang Thanh-Tung, et al. ∙

research

∙ 10/18/2020

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering

Video QA challenges modelers in multiple fronts. Modeling video necessit...

11 Thao Minh Le, et al. ∙

research

∙ 09/25/2020

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction

Predicting the interaction between a compound and a target is crucial fo...

6 Tri Minh Nguyen, et al. ∙

research

∙ 09/20/2020

Unsupervised Anomaly Detection on Temporal Multiway Data

Temporal anomaly detection looks for irregularities over space-time. Uns...

15 Duc Nguyen, et al. ∙

research

∙ 09/16/2020

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning

Guilt aversion induces experience of a utility loss in people if they be...

5 Dung Nguyen, et al. ∙

research

∙ 08/20/2020

Learning to Abstract and Predict Human Actions

Human activities are naturally structured as hierarchies unrolled over t...

3 Romero Morais, et al. ∙

research

∙ 05/18/2020

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network

We propose a framework called HyperVAE for encoding distributions of dis...

56 Phuoc Nguyen, et al. ∙

research

∙ 04/30/2020

Dynamic Language Binding in Relational Visual Reasoning

We present Language-binding Object Graph Network, the first neural reaso...

6 Thao Minh Le, et al. ∙

research

∙ 02/25/2020

Hierarchical Conditional Relation Networks for Video Question Answering

Video question answering (VideoQA) is challenging as it requires modelin...

6 Thao Minh Le, et al. ∙

research

∙ 02/10/2020

Self-Assttentive Associative Memory

Heretofore, neural networks with external memory are restricted to singl...

13 Hung Le, et al. ∙

research

∙ 02/10/2020

Self-Attentive Associative Memory

Heretofore, neural networks with external memory are restricted to singl...

12 Hung Le, et al. ∙

research

∙ 09/10/2019

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning

Prior access to domain knowledge could significantly improve the perform...

14 Thommen George Karimpanal, et al. ∙

research

∙ 08/26/2019

Theory and Evaluation Metrics for Learning Disentangled Representations

We make two theoretical contributions to disentanglement learning by (a)...

8 Kien Do, et al. ∙

research

∙ 07/10/2019

Learning to Reason with Relational Video Representation for Question Answering

How does machine learn to reason about the content of a video in answeri...

4 Thao Minh Le, et al. ∙

research

∙ 05/25/2019

Neural Stored-program Memory

Neural networks powered with external memory simulate computer behaviors...

0 Hung Le, et al. ∙

research

∙ 03/08/2019

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

Appearance features have been widely used in video anomaly detection eve...

6 Romero Morais, et al. ∙

research

∙ 02/11/2019

Improving Generalization and Stability of Generative Adversarial Networks

Generative Adversarial Networks (GANs) are one of the most popular tools...

26 Hoang Thanh-Tung, et al. ∙

research

∙ 01/05/2019

Learning to Remember More with Less Memorization

Memory-augmented neural networks consisting of a neural controller and a...

4 Hung Le, et al. ∙

research

∙ 12/27/2018

Towards effective AI-powered agile project management

The rise of Artificial intelligence (AI) has the potential to significan...

8 Hoa Khanh Dam, et al. ∙

research

∙ 12/22/2018

Graph Transformation Policy Network for Chemical Reaction Prediction

We address a fundamental problem in chemistry known as chemical reaction...

6 Kien Do, et al. ∙

research

∙ 08/10/2018

Relational dynamic memory networks

Working memory is an essential component of reasoning -- the capacity to...

0 Trang Pham, et al. ∙

research

∙ 07/26/2018

Variational Memory Encoder-Decoder

Introducing variability while maintaining coherence is a core task in le...

0 Hung Le, et al. ∙

research

∙ 07/11/2018

On catastrophic forgetting and mode collapse in Generative Adversarial Networks

Generative Adversarial Networks (GAN) are one of the most prominent tool...

2 Hoang Thanh-Tung, et al. ∙

research

∙ 04/01/2018

Attentional Multilabel Learning over Graphs - A message passing approach

We address a largely open problem of multilabel classification over grap...

0 Kien Do, et al. ∙

research

∙ 02/11/2018

Dual Control Memory Augmented Neural Networks for Treatment Recommendations

Machine-assisted treatment recommendations hold a promise to reduce phys...

0 Hung Le, et al. ∙

research

∙ 02/03/2018

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records

Modern healthcare is ripe for disruption by AI. A game changer would be ...

0 Phuoc Nguyen, et al. ∙

research

∙ 02/03/2018

Memory-Augmented Neural Networks for Predictive Process Analytics

Process analytics involves a sophisticated layer of data analytics built...

0 Asjad Khan, et al. ∙

research

∙ 02/03/2018

A deep tree-based model for software defect prediction

Defects are common in software systems and can potentially cause various...

0 Hoa Khanh Dam, et al. ∙

research

∙ 02/02/2018

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning

One of the core task in multi-view learning is to capture all relations ...

0 Hung Le, et al. ∙

Truyen Tran

Featured Co-authors