Collector (1D-CNN) | Convolutional layer | Num. of Kernels: 16 | Kernel Size: 1000 x 1 | Padding: Same |
 |  | Initializer: Truncated normal initializer | Activation: ReLU | |
 | Pooling layer | Size: 2000 | Stride: 2000 |  |
 | 1st fully-connected layer | Output: 32 | Dropout rate: 0.9 |  |
 | 2nd Fully-connected layer | Output: 1 |  |  |
Selector (LSTM) | Weighting layer | Num. of units: p (one-to-one layer) | ||
 | Hidden layer | Num. of units: 0.15p | ||
Optimizer (ADAM) | Learning rate: 0.001 | Batch size: 128 | Â | Â |
Other hyperparams | Collector’s epoch: 20 | Selector’s epoch: 1500 |  |  |