3 citations · 5 across the 6 of their papers we have counts for
6 papers
A comparative analysis of SRGAN models
Fatemeh Rezapoor Nikroo, Ajinkya Deshmukh, Anantha Sharma +4
In this study, we evaluate the performance of multiple state-of-the-art SRGAN (Super Resolution Generative Adversarial Network) models, ESRGAN, Real-ESRGAN and EDSR, on a benchmark…
Life of PII -- A PII Obfuscation Transformer
Ajinkya Deshmukh, Saumya Banthia, Anantha Sharma
Protecting sensitive information is crucial in today's world of Large Language Models (LLMs) and data-driven services. One common method used to preserve privacy is by using data p…
Differential Privacy for Credit Risk Model
Tabish Maniar, Alekhya Akkinepally, Anantha Sharma
The use of machine learning algorithms to model user behavior and drive business decisions has become increasingly commonplace, specifically providing intelligent recommendations t…
TableZa -- A classical Computer Vision approach to Tabular Extraction
Saumya Banthia, Anantha Sharma, Ravi Mangipudi
Computer aided Tabular Data Extraction has always been a very challenging and error prone task because it demands both Spectral and Spatial Sanity of data. In this paper we discuss…
Techniques to Improve Q&A Accuracy with Transformer-based models on Large Complex Documents
Chejui Liao, Tabish Maniar, Sravanajyothi N +1
This paper discusses the effectiveness of various text processing techniques, their combinations, and encodings to achieve a reduction of complexity and size in a given text corpus…
Classification of descriptions and summary using multiple passes of statistical and natural language toolkits
Saumya Banthia, Anantha Sharma
This document describes a possible approach that can be used to check the relevance of a summary / definition of an entity with respect to its name. This classifier focuses on the…