IEEE

Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation

Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...
GitHub

TANGHULU6/Llama3-8B-Mob

Llama-3-8B-Mob is a large language model designed for long-term human mobility prediction across multiple cities. Leveraging instruction tuning, it models complex spatial-temporal patterns in human ...
IEEE

Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting

Abstract: Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting ...
the-decoder

Transformer co-creator Vaswani unveils high-performance Rnj-1 coding model

Essential AI's new open-source model, Rnj-1, outperforms significantly larger competitors on the "SWE-bench Verified" test. This benchmark is considered particularly challenging because it evaluates ...
GitHub

Deep Reinforcement Learning for Service Function Chain Placement with Graph Attention and Transformer Encoder

This repository contains the implementation of the paper of paper Deep Reinforcement Learning for Service Function Chain Placement with Graph Attention and Transformer Encoder. In this paper, we ...