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Found 5 papers, 2 papers with code
AskYourDB: An end-to-end system for querying and visualizing relational databases using natural language
Querying databases for the right information is a time consuming and error-prone task and often requires experienced professionals for the job.
Ensemble Creation via Anchored Regularization for Unsupervised Aspect Extraction
One of the models that we improve upon is ABAE that reconstructs the sentences as a linear combination of aspect terms present in it, In this research we explore how we can use information from another unsupervised model to regularize ABAE, leading to better performance.
LAMA-Net: Unsupervised Domain Adaptation via Latent Alignment and Manifold Learning for RUL Prediction
This is where Transfer Learning (TL) and Domain Adaptation (DA) methods step in and make it possible for us to generalize a supervised model to other domains with different data distributions with no labelled data.
GANDALF: Gated Adaptive Network for Deep Automated Learning of Features
We propose a novel high-performance, interpretable, and parameter \& computationally efficient deep learning architecture for tabular data, Gated Adaptive Network for Deep Automated Learning of Features (GANDALF).
PyTorch Tabular: A Framework for Deep Learning with Tabular Data
But popularity is still a challenge because there is no easy, ready-to-use library like Sci-Kit Learn for deep learning.
