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Found 6 papers, 2 papers with code
Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding
While Large Language Models (LLMs) have shown remarkable abilities, they are hindered by significant resource consumption and considerable latency due to autoregressive processing.
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation
In this work, we propose PMFSNet, a novel medical imaging segmentation model that effectively balances global and local feature processing while avoiding the computational redundancy typical in larger models.
Multi Loss-based Feature Fusion and Top Two Voting Ensemble Decision Strategy for Facial Expression Recognition in the Wild
Different from previous studies, this paper applies both internal feature fusion for a single model and feature fusion among multiple networks, as well as the ensemble strategy.
Facial Expression Recognition
Facial Expression Recognition (FER)
Uncover Common Facial Expressions in Terracotta Warriors: A Deep Learning Approach
At the same time, the lack of public high-quality facial expression data of the Terracotta Warriors also limits the use of deep learning technologies.
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions
In cloud computing, Infrastructure as a Service (IaaS) is one of the most important and rapidly growing fields.
A New Approach for Resource Scheduling with Deep Reinforcement Learning
Based on the previous research on DRL in the literature, we introduce online resource scheduling algorithm DeepRM2 and the offline resource scheduling algorithm DeepRM_Off.
