**Attribute2Font** is a model that automatically creates fonts by synthesizing visually pleasing glyph images according to user-specified attributes and their corresponding values. Specifically, Attribute2Font is trained to perform font style transfer between any two fonts conditioned on their attribute values. After training, the model can generate glyph images in accordance with an arbitrary set of font attribute values. A unit named Attribute Attention Module is designed to make those generated glyph images better embody the prominent font attributes. A semi-supervised learning scheme is also introduced to exploit a large number of unlabeled fonts

**AutoSmart** is AutoML framework for temporal relational data. The framework includes automatic data processing, table merging, feature engineering, and model tuning, integrated with a time&memory control unit.

AutoSmart

AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data

Attribute2Font

Attribute2Font: Creating Fonts You Want From Attributes

**Colorization** is a self-supervision approach that relies on colorization as the pretext task in order to learn image representations.

Source	Attribute2Font: Creating Fonts You Want From Attributes
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com