A self-supervised learning method to disentangle irregular (anomalous) motion from regular motion in unlabeled videos.

**BLANC** is an automatic estimation approach for document summary quality. The goal is to measure the functional performance of a summary with an objective, reproducible, and fully automated method. BLANC achieves this by measuring the performance boost gained by a pre-trained language model with access to a document summary while carrying out its language understanding task on the document's text.

BLANC

Fill in the BLANC: Human-free quality estimation of document summaries

Motion Disentanglement

Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment

DBGAN is a method for graph representation learning. Instead of the widely used normal distribution assumption, the prior distribution of latent representation in DBGAN is estimated in a structure-aware way, which implicitly bridges the graph and feature spaces by prototype learning.

Source: [Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning](https://arxiv.org/abs/1912.01899)

Source	Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
Year	2000
Data Source	Papers with Code archive (CC BY-SA)