**Stable Rank Normalization (SRN)** is a weight-normalization scheme which minimizes the
stable rank of a linear operator. It simultaneously controls the Lipschitz constant and the stable rank of a linear operator. Stable rank is a softer version of the rank operator and is defined as the squared ratio of the Frobenius norm to the spectral norm.

**Reduction-A** is an image model block used in the [Inception-v4](https://paperswithcode.com/method/inception-v4) architecture.

Reduction-A

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Stable Rank Normalization for Improved Generalization in Neural Networks and GANs

**COLA** is a self-supervised pre-training approach for learning a general-purpose representation of audio. It is based on contrastive learning: it learns a representation which assigns high similarity to audio segments extracted from the same recording while assigning lower similarity to segments from different recordings.

Source	Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com