no code implementations • 2 Jan 2025 • Dat Nguyen, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada
Second, we propose a video-level data synthesis algorithm that generates pseudo-fake videos with subtle artifacts, providing the model with high-quality samples and ground truth data for our spatial and temporal branches.
1 code implementation • 4 Nov 2024 • Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Michelangelo Naim, Dat Nguyen, Wei-Long Zheng, Zenna Tavares, Yewen Pu, Kevin Ellis
When learning an input-output mapping from very few examples, is it better to first infer a latent function that explains the examples, or is it better to directly predict new test outputs, e. g. using a neural network?
no code implementations • 29 Oct 2024 • Dat Nguyen, Marcella Astrid, Enjie Ghorbel, Djamila Aouada
Recently, Vision Transformers (ViTs) have achieved unprecedented effectiveness in the general domain of image classification.
1 code implementation • 11 Oct 2024 • Benson Chen, Tomasz Danel, Patrick J. McEnaney, Nikhil Jain, Kirill Novikov, Spurti Umesh Akki, Joshua L. Turnbull, Virja Atul Pandya, Boris P. Belotserkovskii, Jared Bryce Weaver, Ankita Biswas, Dat Nguyen, Gabriel H. S. Dreiman, Mohammad Sultan, Nathaniel Stanley, Daniel M Whalen, Divya Kanichar, Christoph Klein, Emily Fox, R. Edward Watts
DNA-Encoded Libraries (DEL) are combinatorial small molecule libraries that offer an efficient way to characterize diverse chemical spaces.
1 code implementation • 19 Feb 2024 • Thanh Le-Cong, Dat Nguyen, Bach Le, Toby Murray
In this paper, we propose shifting the focus of robustness evaluation for Neural Program Repair (NPR) techniques toward naturally-occurring data transformations.
1 code implementation • CVPR 2024 • Dat Nguyen, Nesryne Mejri, Inder Pal Singh, Polina Kuleshova, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada
Second, an Enhanced Feature Pyramid Network (E-FPN) is proposed as a simple and effective mechanism for spreading discriminative low-level features into the final feature output, with the advantage of limiting redundancy.
no code implementations • 8 Jan 2024 • Dat Nguyen, Hieu M. Vu, Cong-Thanh Le, Bach Le, David Lo, ThanhVu Nguyen, Corina Pasareanu
To tackle the challenge of varying input structures in GNNs, GNNInfer first identifies a set of representative influential structures that contribute significantly towards the prediction of a GNN.
1 code implementation • 7 Jan 2024 • Chau Nguyen, Phuong Nguyen, Thanh Tran, Dat Nguyen, An Trieu, Tin Pham, Anh Dang, Le-Minh Nguyen
The Competition on Legal Information Extraction/Entailment (COLIEE) is held annually to encourage advancements in the automatic processing of legal texts.
no code implementations • 4 Nov 2022 • Hieu Nguyen Van, Dat Nguyen, Phuong Minh Nguyen, Minh Le Nguyen
We introduce efficient deep learning-based methods for legal document processing including Legal Document Retrieval and Legal Question Answering tasks in the Automated Legal Question Answering Competition (ALQAC 2022).
1 code implementation • 18 Apr 2022 • Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah Goodman
Models can fail in unpredictable ways during deployment due to task ambiguity, when multiple behaviors are consistent with the provided training data.
no code implementations • 29 Sep 2021 • Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah Goodman
An important barrier to the safe deployment of machine learning systems is the risk of \emph{task ambiguity}, where multiple behaviors are consistent with the provided examples.
1 code implementation • 7 Jun 2021 • Ines Chami, Albert Gu, Dat Nguyen, Christopher Ré
Given directions, PCA relies on: (1) a parameterization of subspaces spanned by these directions, (2) a method of projection onto subspaces that preserves information in these directions, and (3) an objective to optimize, namely the variance explained by projections.