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Found 3 papers, 1 papers with code
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem
This suggests that our method offers a promising avenue for future research and practical application in the field of job shop scheduling problems.
ZeroLiers: Diminishing Large Outliers in ReLU-like Activations
Moreover, we train several recent DNNs with fully connected layers and investigate the effect of ZeroLiers.
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers
Deep Convolutional Neural Networks (CNNs) are empirically known to be invariant to moderate translation but not to rotation in image classification.
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