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Found 8 papers, 2 papers with code
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition
We use the framework to optimize data synthesis and demonstrate significant improvement on handwriting recognition over a model trained on real data only.
CoSE: Compositional Stroke Embeddings
We demonstrate qualitatively and quantitatively that our proposed approach is able to model the appearance of individual strokes, as well as the compositional structure of larger diagram drawings.
The DIDI dataset: Digital Ink Diagram data
We are releasing a dataset of diagram drawings with dynamic drawing information.
Predicted Variables in Programming
We leverage the existing concept of variables and create a new type, a predicted variable.
A Scalable Handwritten Text Recognition System
These constitute a solution to bring HTR capability into a large scale OCR system.
IndyLSTMs: Independently Recurrent LSTMs
The number of parameters per IndyLSTM layer, and thus the number of FLOPS per evaluation, is linear in the number of nodes in the layer, as opposed to quadratic for regular LSTM layers, resulting in potentially both smaller and faster models.
Fast Multi-language LSTM-based Online Handwriting Recognition
We describe an online handwriting system that is able to support 102 languages using a deep neural network architecture.
SmartChoices: Hybridizing Programming and Machine Learning
As opposed to previous work applying ML to algorithmic problems, our proposed approach does not require to drop existing implementations but seamlessly integrates into the standard software development workflow and gives full control to the software developer over how ML methods are applied.
