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Found 12 papers, 1 papers with code
Process-and-Forward: Deep Joint Source-Channel Coding Over Cooperative Relay Networks
In the proposed scheme, the source transmits information in blocks, and the relay updates its knowledge about the input signal after each block and generates its own signal to be conveyed to the destination.
TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation
Specifically, we design the Two-Level Debiased Contrastive Learning (TDCL) and deploy it in the KG, which is conducted not only on User-Item pairs but also on User-User pairs for modeling higher-order relations.
A Graph Reconstruction by Dynamic Signal Coefficient for Fault Classification
To improve the performance in identifying the faults under strong noise for rotating machinery, this paper presents a dynamic feature reconstruction signal graph method, which plays the key role of the proposed end-to-end fault diagnosis model.
Features-over-the-Air: Contrastive Learning Enabled Cooperative Edge Inference
We study the collaborative image retrieval problem at the wireless edge, where multiple edge devices capture images of the same object, which are then used jointly to retrieve similar images at the edge server over a shared multiple access channel.
Collaborative Semantic Communication for Edge Inference
We study the collaborative image retrieval problem at the wireless edge, where multiple edge devices capture images of the same object from different angles and locations, which are then used jointly to retrieve similar images at the edge server over a shared multiple access channel (MAC).
Enhancing and Adversarial: Improve ASR with Speaker Labels
Detailed analysis and experimental verification are conducted to show the optimal positions in the ASR neural network (NN) to apply speaker enhancing and adversarial training.
Space-time design for deep joint source channel coding of images Over MIMO channels
We propose novel deep joint source-channel coding (DeepJSCC) algorithms for wireless image transmission over multi-input multi-output (MIMO) Rayleigh fading channels, when channel state information (CSI) is available only at the receiver.
GGViT:Multistream Vision Transformer Network in Face2Face Facial Reenactment Detection
The compression of videos on social media has destroyed some pixel details that could be used to detect forgeries.
A High-Performance Customer Churn Prediction System based on Self-Attention
Therefore, a novel algorithm, a hybrid neural network with self-attention enhancement (HNNSAE), is proposed in this paper to improve the efficiency of feature screening and feature extraction, consequently improving the model's predictive performance.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification
This paper presents a self-supervised feature learning method for hyperspectral image classification.
Cyclic Arbitrage in Decentralized Exchanges
We find that traders have executed 292, 606 cyclic arbitrages over eleven months and exploited more than 138 million USD in revenue.
Minimum Potential Energy of Point Cloud for Robust Global Registration
Different from the most existing point set registration methods which usually extract the descriptors to find correspondences between point sets, our proposed MPE alignment method is able to handle large scale raw data offset without depending on traditional descriptors extraction, whether for the local or global registration methods.
