31 citations · 77 across the 7 of their papers we have counts for
8 papers
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
Nitin Gupta, Hima Patel, Shazia Afzal +10
The quality of training data has a huge impact on the efficiency, accuracy and complexity of machine learning tasks. Various tools and techniques are available that assess data qua…
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
Nishtha Madaan, Inkit Padhi, Naveen Panwar +1
Machine Learning has seen tremendous growth recently, which has led to larger adoption of ML systems for educational assessments, credit risk, healthcare, employment, criminal just…
Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks
Naveen Panwar, Tarun Tater, Anush Sankaran +1
Existing deep learning approaches for learning visual features tend to overlearn and extract more information than what is required for the task at hand. From a privacy preservatio…
A Visual Programming Paradigm for Abstract Deep Learning Model Development
Srikanth Tamilselvam, Naveen Panwar, Shreya Khare +3
Deep learning is one of the fastest growing technologies in computer science with a plethora of applications. But this unprecedented growth has so far been limited to the consumpti…
Sanskrit Sandhi Splitting using seq2(seq)^2
Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar +2
In Sanskrit, small words (morphemes) are combined to form compound words through a process known as Sandhi. Sandhi splitting is the process of splitting a given compound word into…
DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers
Akshay Sethi, Anush Sankaran, Naveen Panwar +2
With an abundance of research papers in deep learning, reproducibility or adoption of the existing works becomes a challenge. This is due to the lack of open source implementations…
mAnI: Movie Amalgamation using Neural Imitation
Naveen Panwar, Shreya Khare, Neelamadhav Gantayat +3
Cross-modal data retrieval has been the basis of various creative tasks performed by Artificial Intelligence (AI). One such highly challenging task for AI is to convert a book into…
DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models
Anush Sankaran, Rahul Aralikatte, Senthil Mani +3
Traditional software engineering programming paradigms are mostly object or procedure oriented, driven by deterministic algorithms. With the advent of deep learning and cognitive s…