Papers Activation Function Synthesis
“Activation Function Synthesis” 태그가 달린 논문 4편 · 필터 해제
Can Transformers Do Enumerative Geometry?
How can Transformers model and learn enumerative geometry? What is a robust procedure for using Transformers in abductive knowledge discovery within a mathematician-machine collaboration? In this work, we introduce a Tra…
Activation Function SynthesisCausal InferenceConformal PredictionInductive Bias+3Learnable Extended Activation Function (LEAF) for Deep Neural Networks
This paper introduces Learnable Extended Activation Function (LEAF) - an adaptive activation function that combines the properties of squashing functions and rectifier units. Depending on the target architecture and data…
Activation Function Synthesisimage-classificationImage ClassificationLearning Theory+1Deep neural network based on F-neurons and its learning
Artificial neural networks are widely used in data processing and Data Mining. In contrast to traditional artificial neural networks, deep neural networks employ many artificial neuron blocks and more than three layers. …
Activation Function Synthesisimage-classificationImage ClassificationNeural Architecture SearchAdaptive hybrid activation function for deep neural networks
The adaptive hybrid activation function (AHAF) is proposed that combines the properties of the rectifier units and the squashing functions. The proposed function can be used as a drop-in replacement for ReLU, SiL and Swi…
Activation Function Synthesisimage-classificationImage ClassificationLearning Theory+1