Search Results for author: Dung Nguyen

Found 16 papers, 1 papers with code

Memory-Constrained Policy Optimization

no code implementations20 Apr 2022 Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

We introduce a new constrained optimization method for policy gradient reinforcement learning, which uses two trust regions to regulate each policy update.

Atari Games Policy Gradient Methods

Learning to Transfer Role Assignment Across Team Sizes

no code implementations17 Apr 2022 Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran

In particular, we train a role assignment network for small teams by demonstration and transfer the network to larger teams, which continue to learn through interaction with the environment.

Multi-agent Reinforcement Learning reinforcement-learning +2

Learning Theory of Mind via Dynamic Traits Attribution

no code implementations17 Apr 2022 Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Inspired by the observation that humans often infer the character traits of others, then use it to explain behaviour, we propose a new neural ToM architecture that learns to generate a latent trait vector of an actor from the past trajectories.

Future prediction Learning Theory

Differentially Private Community Detection for Stochastic Block Models

no code implementations31 Jan 2022 Mohamed Seif, Dung Nguyen, Anil Vullikanti, Ravi Tandon

To the best of our knowledge, this is the first work to study the impact of privacy constraints on the fundamental limits for community detection.

Community Detection Stochastic Block Model

Episodic Policy Gradient Training

1 code implementation3 Dec 2021 Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh

We introduce a novel training procedure for policy gradient methods wherein episodic memory is used to optimize the hyperparameters of reinforcement learning algorithms on-the-fly.

Policy Gradient Methods reinforcement-learning

Differentially Private Densest Subgraph Detection

no code implementations27 May 2021 Dung Nguyen, Anil Vullikanti

We study the densest subgraph problem in the edge privacy model, in which the edges of the graph are private.

Graph Mining

Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets

no code implementations2 Nov 2020 In Seop Na, Chung Tran, Dung Nguyen, Sang Dinh

A promising approach to deal with pose variation is to fulfill incomplete UV maps extracted from in-the-wild faces, then attach the completed UV map to a fitted 3D mesh and finally generate different 2D faces of arbitrary poses.

Face Recognition Robust Face Recognition

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning

no code implementations16 Sep 2020 Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran

In psychological game theory, guilt aversion necessitates modelling of agents that have theory about what other agents think, also known as Theory of Mind (ToM).

reinforcement-learning

Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition

no code implementations28 Apr 2020 Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes

Multimodal dimensional emotion recognition has drawn a great attention from the affective computing community and numerous schemes have been extensively investigated, making a significant progress in this area.

Emotion Recognition

Learning to Attend Relevant Regions in Videos from Eye Fixations

no code implementations21 Nov 2018 Thanh T. Nguyen, Dung Nguyen

Attentively important regions in video frames account for a majority part of the semantics in each frame.

Frame

Meta Transfer Learning for Facial Emotion Recognition

no code implementations25 May 2018 Dung Nguyen, Kien Nguyen, Sridha Sridharan, Iman Abbasnejad, David Dean, Clinton Fookes

The use of deep learning techniques for automatic facial expression recognition has recently attracted great interest but developed models are still unable to generalize well due to the lack of large emotion datasets for deep learning.

Facial Emotion Recognition Facial Expression Recognition +1

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