most citedGANDALF: Gated Adaptive Network for Deep Automated Learning of Features

14 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2022★ 3 cited

AskYourDB: An end-to-end system for querying and visualizing relational databases using natural language

Manu Joseph, Harsh Raj, Anubhav Yadav +1

Querying databases for the right information is a time consuming and error-prone task and often requires experienced professionals for the job. Furthermore, the user needs to have…

cs.CL2022

Ensemble Creation via Anchored Regularization for Unsupervised Aspect Extraction

Pulah Dhandekar, Manu Joseph

Aspect Based Sentiment Analysis is the most granular form of sentiment analysis that can be performed on the documents / sentences. Besides delivering the most insights at a finer…

cs.LG2022★ 2 cited

LAMA-Net: Unsupervised Domain Adaptation via Latent Alignment and Manifold Learning for RUL Prediction

Manu Joseph, Varchita Lalwani

Prognostics and Health Management (PHM) is an emerging field which has received much attention from the manufacturing industry because of the benefits and efficiencies it brings to…

cs.LG2022★ 14 cited

GANDALF: Gated Adaptive Network for Deep Automated Learning of Features

Manu Joseph, Harsh Raj

We propose a novel high-performance, interpretable, and parameter \& computationally efficient deep learning architecture for tabular data, Gated Adaptive Network for Deep Automate…

cs.LG2021★ 3 cited

PyTorch Tabular: A Framework for Deep Learning with Tabular Data

Manu Joseph

In spite of showing unreasonable effectiveness in modalities like Text and Image, Deep Learning has always lagged Gradient Boosting in tabular data - both in popularity and perform…