no code implementations • EMNLP (FEVER) 2021 • Mostafa Bouziane, Hugo Perrin, Amine Sadeq, Thanh Nguyen, Aurélien Cluzeau, Julien Mardas
As part of the FEVEROUS shared task, we developed a robust and finely tuned architecture to handle the joint retrieval and entailment on text data as well as structured data like tables.
no code implementations • 21 Sep 2023 • Thanh Nguyen, Trung Pham, Chaoning Zhang, Tung Luu, Thang Vu, Chang D. Yoo
Self-supervised learning (SSL) has gained remarkable success, for which contrastive learning (CL) plays a key role.
no code implementations • 14 Feb 2023 • Roman Belaire, Pradeep Varakantham, Thanh Nguyen, David Lo
We demonstrate that our approaches provide a significant improvement in performance across a wide variety of benchmarks against leading approaches for robust Deep RL.
no code implementations • 15 Oct 2022 • Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Nguyen, Sultan Rizky Madjid, Chang Dong Yoo
Herein, we introduce "Look and Diagnose" (LAD), a hybrid deep learning-based system that aims to support doctors in the medical field in diagnosing effectively the Benign Paroxysmal Positional Vertigo (BPPV) disorder.
1 code implementation • 17 Sep 2022 • Thang Vu, Kookhoi Kim, Tung M. Luu, Thanh Nguyen, Junyeong Kim, Chang D. Yoo
Furthermore, SoftGroup can be extended to perform object detection and panoptic segmentation with nontrivial improvements over existing methods.
1 code implementation • 22 Jul 2022 • Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai
We tackle a new task of few-shot object counting and detection.
Ranked #12 on Object Counting on FSC147
1 code implementation • 13 Feb 2022 • Wai Tuck Wong, Sarah Kinsey, Ramesha Karunasena, Thanh Nguyen, Arunesh Sinha
We show that an adversary can cause such failures by forcing rank deficiency on the matrix fed to the optimization layer which results in the optimization failing to produce a solution.
1 code implementation • CVPR 2022 • Supreeth Narasimhaswamy, Thanh Nguyen, Mingzhen Huang, Minh Hoai
We also introduce a new challenging dataset called BodyHands containing unconstrained images with hand and their corresponding body locations annotations.
no code implementations • 9 Nov 2021 • Thanh Nguyen, Hieu Hoang, Chang D. Yoo
Single Image Super-Resolution (SISR) is a very active research field.
no code implementations • 10 Apr 2021 • Truong Dang, Thanh Nguyen, John McCall, Alan Wee-Chung Liew
Based on an observation that different segmentation algorithms will perform well on different subsets of examples because of the nature and size of training sets they have been exposed to and because of method-intrinsic factors, we propose to measure the confidence in the prediction of each algorithm and then use an associate threshold to determine whether the confidence is acceptable or not.
1 code implementation • 15 Mar 2021 • Thanh Nguyen, Tung M. Luu, Thang Vu, Chang D. Yoo
Developing an agent in reinforcement learning (RL) that is capable of performing complex control tasks directly from high-dimensional observation such as raw pixels is yet a challenge as efforts are made towards improving sample efficiency and generalization.
no code implementations • 15 Mar 2021 • Thanh Nguyen, Tung Luu, Trung Pham, Sanzhar Rakhimkul, Chang D. Yoo
Model agnostic meta-learning (MAML) is a popular state-of-the-art meta-learning algorithm that provides good weight initialization of a model given a variety of learning tasks.
1 code implementation • 6 Mar 2021 • Hang Zhang, Rongguang Wang, Jinwei Zhang, Chao Li, Gufeng Yang, Pascal Spincemaille, Thanh Nguyen, Yi Wang
We introduce Neural Representation of Distribution (NeRD) technique, a module for convolutional neural networks (CNNs) that can estimate the feature distribution by optimizing an underlying function mapping image coordinates to the feature distribution.
no code implementations • 11 Jan 2021 • Thanh Nguyen, Yoichiro Tsurimaki, Ricardo Pablo-Pedro, Grigory Bednik, Anuj Apte, Nina Andrejevic, Mingda Li
Topological nodal semimetals are known to host a variety of fascinating electronic properties due to the topological protection of the band-touching nodes.
Materials Science
no code implementations • 13 Oct 2020 • He Zhao, Thanh Nguyen, Trung Le, Paul Montague, Olivier De Vel, Tamas Abraham, Dinh Phung
Deep neural network image classifiers are reported to be susceptible to adversarial evasion attacks, which use carefully crafted images created to mislead a classifier.
no code implementations • 7 Sep 2020 • Jinwei Zhang, Hang Zhang, Mert Sabuncu, Pascal Spincemaille, Thanh Nguyen, Yi Wang
A learning-based posterior distribution estimation method, Probabilistic Dipole Inversion (PDI), is proposed to solve the quantitative susceptibility mapping (QSM) inverse problem in MRI with uncertainty estimation.
1 code implementation • NeurIPS 2019 • Huong Ha, Santu Rana, Sunil Gupta, Thanh Nguyen, Hung Tran-The, Svetha Venkatesh
Applying Bayesian optimization in problems wherein the search space is unknown is challenging.
no code implementations • 3 Oct 2019 • Kaleel Mahmood, Phuong Ha Nguyen, Lam M. Nguyen, Thanh Nguyen, Marten van Dijk
We argue that our defense based on buffer zones offers significant improvements over state-of-the-art defenses.
no code implementations • 10 Sep 2019 • Thanh Nguyen, Vy Bui, Anh Thai, Van Lam, Christopher B. Raub, Lin-Ching Chang, George Nehmetallah
A detailed comparative analysis is also conducted on the performance of the cGAN network between predicting fluorescence channels based on phase contrast or based on another fluorescence channel using human breast cancer MDA-MB-231 cell line as a test case.
no code implementations • 12 Jun 2018 • Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
In this paper, we introduce an approach that integrates human strategies to increase the exploration capacity of multiple deep reinforcement learning agents.
1 code implementation • 27 Apr 2018 • Thanh Nguyen, Yujia Xue, Yunzhe Li, Lei Tian, George Nehmetallah
Specifically, we show that it is possible to reconstruct high-SBP dynamic cell videos by a CNN trained only on the first FPM dataset captured at the beginning of a time-series experiment.
no code implementations • 5 Apr 2018 • Ngoc Duy Nguyen, Saeid Nahavandi, Thanh Nguyen
In 2015, Google's DeepMind announced an advancement in creating an autonomous agent based on deep reinforcement learning (DRL) that could beat a professional player in a series of 49 Atari games.