1 code implementation • 9 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.
no code implementations • 17 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.
1 code implementation • 7 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.
no code implementations • 21 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.
no code implementations • 21 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.
no code implementations • 20 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.
no code implementations • 17 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.
no code implementations • 17 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.
no code implementations • 24 Feb 2022 • Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Trojan attacks on deep neural networks are both dangerous and surreptitious.
no code implementations • 31 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.
no code implementations • 1 Jan 2022 • Dung Nguyen, Alix Boc, Abdoulaye Banire Diallo, Vladimir Makarenkov
Phages are one of the most present groups of organisms in the biosphere.
1 code implementation • 3 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.
no code implementations • 27 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.
no code implementations • 2 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.
no code implementations • 16 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).
no code implementations • 23 Jun 2020 • Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, David Dean, Clinton Fookes
To mitigate this challenge, transfer learning performing fine-tuning on pre-trained models has been applied.
Facial Expression Recognition
Facial Expression Recognition (FER)
+2
no code implementations • 28 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.
no code implementations • 24 Mar 2020 • Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes
Deep learning has been applied to achieve significant progress in emotion recognition.
no code implementations • 21 Nov 2018 • Thanh T. Nguyen, Dung Nguyen
Attentively important regions in video frames account for a majority part of the semantics in each frame.
no code implementations • 25 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.