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Found 8 papers, 1 papers with code
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
We attempt to re-look at the data quality issues in the context of building a machine learning pipeline and build a tool that can detect, explain and remediate issues in the data, and systematically and automatically capture all the changes applied to the data.
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
Aligned with this, we propose a framework GYC, to generate a set of counterfactual text samples, which are crucial for testing these ML systems.
Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks
Existing deep learning approaches for learning visual features tend to overlearn and extract more information than what is required for the task at hand.
A Visual Programming Paradigm for Abstract Deep Learning Model Development
Deep learning is one of the fastest growing technologies in computer science with a plethora of applications.
Sanskrit Sandhi Splitting using seq2(seq)2
In Sanskrit, small words (morphemes) are combined to form compound words through a process known as Sandhi.
Sanskrit Sandhi Splitting using seq2(seq)^2
In Sanskrit, small words (morphemes) are combined to form compound words through a process known as Sandhi.
DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers
To address these challenges, we propose a novel extensible approach, DLPaper2Code, to extract and understand deep learning design flow diagrams and tables available in a research paper and convert them to an abstract computational graph.
mAnI: Movie Amalgamation using Neural Imitation
Cross-modal data retrieval has been the basis of various creative tasks performed by Artificial Intelligence (AI).
