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Found 4 papers, 3 papers with code
Semi-NMF Regularization-Based Autoencoder Training for Hyperspectral Unmixing
Hyperspectral Unmixing (HSU) refers to the procedure of decomposing measured pixel spectra into a set of constituent spectral signatures known as endmembers and a corresponding set of fractional mixing ratios.
Nighttime Dehaze-Enhancement
Moreover, we also propose a new network called NDENet (Nighttime Dehaze-Enhancement Network), which jointly performs dehazing and low-light enhancement in an end-to-end manner.
Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks
The last few years have witnessed an exponential rise in the propagation of offensive text on social media.
On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules
Although adapters are known to facilitate adapting to many downstream tasks compared to fine-tuning the model that require retraining all of the models' parameters -- which owes to the adapters' plug and play nature and being parameter efficient -- their usage in software engineering is not explored.
