9 citations · 17 across the 7 of their papers we have counts for
8 papers
I-MPN: Inductive Message Passing Network for Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data
Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti +5
Comprehending how humans process visual information in dynamic settings is crucial for psychology and designing user-centered interactions. While mobile eye-tracking systems combin…
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation
Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep +9
Constructing a robust model that can effectively generalize to test samples under distribution shifts remains a significant challenge in the field of medical imaging. The foundatio…
A Generalization Bound of Deep Neural Networks for Dependent Data
Quan Huu Do, Binh T. Nguyen, Lam Si Tung Ho
Existing generalization bounds for deep neural networks require data to be independent and identically distributed (iid). This assumption may not hold in real-life applications suc…
Adaptive-saturated RNN: Remember more with less instability
Khoi Minh Nguyen-Duy, Quang Pham, Binh T. Nguyen
Orthogonal parameterization is a compelling solution to the vanishing gradient problem (VGP) in recurrent neural networks (RNNs). With orthogonal parameters and non-saturated activ…
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification
Cuong V. Nguyen, Khiem H. Le, Anh M. Tran +2
Transfer learning plays an essential role in Deep Learning, which can remarkably improve the performance of the target domain, whose training data is not sufficient. Our work explo…
HADA: A Graph-based Amalgamation Framework in Image-text Retrieval
Manh-Duy Nguyen, Binh T. Nguyen, Cathal Gurrin
Many models have been proposed for vision and language tasks, especially the image-text retrieval task. All state-of-the-art (SOTA) models in this challenge contained hundreds of m…