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Found 5 papers, 2 papers with code
Self-supervised Representation Learning From Random Data Projectors
Self-supervised representation learning~(SSRL) has advanced considerably by exploiting the transformation invariance assumption under artificially designed data augmentations.
Emotion Detection in Unfix-length-Context Conversation
We leverage different context windows when predicting the emotion of different utterances.
Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
Machine learning (ML) has been widely used for efficient resource allocation (RA) in wireless networks.
Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach
Multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) is a key technology component in the evolution towards cognitive radio (CR) in next-generation communication in which the accuracy of timing and frequency synchronization significantly impacts the overall system performance.
Performance Analysis on Machine Learning-Based Channel Estimation
In this situation, our analysis results can be applied to assess the performance and support the design of machine learning-based channel estimation.
