AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
This repository contains code for the paper A Neural Symbolic Model for Space Physics. If you encounter any problems with this program, please contact Jie Ying [email protected]. A ...
UniNMT In this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of parallel data. Our proposed approach utilizes a transfer-learning approach ...
Abstract: This study presents a novel translation framework by combining transfer learning and part-of-speech (POS) tagging methods to improve the performance of low-resource neural machine ...
Knowledge-Based Transformer: Enhancing Neural Machine Translation Through Knowledge Base Integration
Abstract: The Transformer architecture, introduced since 2017, has demonstrated its power in machine translation tasks. However, significant challenges persist, notably in accurately understanding and ...
CoTracker is a fast transformer-based model that can track any point in a video. It brings to tracking some of the benefits of Optical Flow. [October 15, 2024] 📣 We're releasing CoTracker3!
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