MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
Table 6. Final hyper-parameter values in each dataset.
['Hyper-param', 'MOSI', 'MOSEI', 'UR_FUNNY']
We look over finite sets of options for hyper-parameters. These include non-linear activations: Finally, we look at dropout values from {0.1,0.5,0.7}. For optimization, we utilize the Adam optimizer with an exponential decay learning rate scheduler. The training duration of each model is governed by early-stopping strategy with a patience of 6 epochs.