Search Results for author: Dung Nguyen

Found 20 papers, 3 papers with code

Intrinsic Motivation via Surprise Memory

1 code implementation9 Aug 2023 Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh

We present a new computing model for intrinsic rewards in reinforcement learning that addresses the limitations of existing surprise-driven explorations.

Atari Games Retrieval

Memory-Augmented Theory of Mind Network

no code implementations17 Jan 2023 Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Social reasoning necessitates the capacity of theory of mind (ToM), the ability to contextualise and attribute mental states to others without having access to their internal cognitive structure.

EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification

1 code implementation7 Oct 2022 Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen, Hau Lam, Phong Nguyen, Jennifer Fowler, Minh-Triet Tran, Ngan Le

The transformer expanding path models the temporal coherency between embryo images to ensure monotonic non-decreasing constraint and is optimized by a segmentation head.

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

no code implementations21 Sep 2022 Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh

Since the EMA generator can be considered as an ensemble of the generator's old versions and often undergoes a smaller change in updates compared to the generator, training on its synthetic samples can help the student recall the past knowledge and prevent the student from adapting too quickly to new updates of the generator.

Knowledge Distillation

Differentially Private Partial Set Cover with Applications to Facility Location

no code implementations21 Jul 2022 George Z. Li, Dung Nguyen, Anil Vullikanti

Using our algorithm for Partial Set Cover as a subroutine, we give a differentially private (bicriteria) approximation algorithm for a facility location problem which generalizes $k$-center/$k$-supplier with outliers.

Combinatorial Optimization

Learning to Constrain Policy Optimization with Virtual Trust Region

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

We introduce a constrained optimization method for policy gradient reinforcement learning, which uses a virtual trust region 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.

Management Multi-agent Reinforcement Learning +4

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 Inductive Bias +1

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 Scheduling

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 Reinforcement Learning (RL)

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.

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 +2

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