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Found 3 papers, 3 papers with code
Activator: GLU Activations as The Core Functions of a Vision Transformer
Transformer architecture currently represents the main driver behind many successes in a variety of tasks addressed by deep learning, especially the recent advances in natural language processing (NLP) culminating with large language models (LLM).
NiNformer: A Network in Network Transformer with Token Mixing Generated Gating Function
The attention mechanism was utilized in computer vision as the Vision Transformer ViT, and its usage has expanded into many tasks in the vision domain, such as classification, segmentation, object detection, and image generation.
Autoselection of the Ensemble of Convolutional Neural Networks with Second-Order Cone Programming
Ensemble techniques are frequently encountered in machine learning and engineering problems since the method combines different models and produces an optimal predictive solution.
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