80 citations · 84 across the 6 of their papers we have counts for
6 papers
Meet in the Middle: A New Pre-training Paradigm
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
Most language models (LMs) are trained and applied in an autoregressive left-to-right fashion, assuming that the next token only depends on the preceding ones. However, this assump…
A Light-weight Deep Learning Model for Remote Sensing Image Classification
Lam Pham, Cam Le, Dat Ngo +4
In this paper, we present a high-performance and light-weight deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the aerial scene of a remo…
ViDeBERTa: A powerful pre-trained language model for Vietnamese
Cong Dao Tran, Nhut Huy Pham, Anh Nguyen +2
This paper presents ViDeBERTa, a new pre-trained monolingual language model for Vietnamese, with three versions - ViDeBERTa_xsmall, ViDeBERTa_base, and ViDeBERTa_large, which are p…
Mobile Robot Motion Control Using a Combination of Fuzzy Logic Method and Kinematic Model
Anh-Tu Nguyen, Van-Truong Nguyen, Xuan-Thuan Nguyen +1
Mobile robots have been widely used in various aspects of human life. When a robot moves between different positions in the working area to perform the task, controlling motion to…
Obstacle Avoidance for Autonomous Mobile Robots Based on Mapping Method
Anh-Tu Nguyen, Cong-Thanh Vu
In recent years, the mobile robot has been considerable attention to researchers for its application in various environments. For a mobile robot navigating its way from starting po…
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Nguyen, Jason Yosinski, Jeff Clune
Deep neural networks (DNNs) have recently been achieving state-of-the-art performance on a variety of pattern-recognition tasks, most notably visual classification problems. Given…