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Found 5 papers, 1 papers with code
The SPECTRANS System Description for the WMT21 Terminology Task
Experiment 2 uses OpenNMT to fine-tune the model.
Supervised Batch Normalization
We expand normalization beyond traditional single mean and variance parameters, enabling the identification of data modes prior to training.
Cluster-Based Normalization Layer for Neural Networks
Similarly, mixture normalization (MN) encounters computational barriers in handling diverse Gaussian distributions.
Context-Based Multimodal Fusion
Additionally, the network learns to differentiate embeddings of different modalities through fusion with context and aligns data distributions using a contrastive approach for self-supervised learning.
Context Normalization Layer with Applications
Normalization is a pre-processing step that converts the data into a more usable representation.
