Search Results for author: Tushar Sharma

Found 8 papers, 1 papers with code

COMET: Generating Commit Messages using Delta Graph Context Representation

no code implementations2 Feb 2024 Abhinav Reddy Mandli, Saurabhsingh Rajput, Tushar Sharma

We propose Comet (Context-Aware Commit Message Generation), a novel approach that captures context of code changes using a graph-based representation and leverages a transformer-based model to generate high-quality commit messages.

CONCORD: Towards a DSL for Configurable Graph Code Representation

no code implementations31 Jan 2024 Mootez Saad, Tushar Sharma

CONCORD will help researchers a) create and experiment with customizable graph-based code representations for different software engineering tasks involving DL, b) reduce the engineering work to generate graph representations, c) address the issue of scalability in GNN models, and d) enhance the reproducibility of experiments in research through a standardized approach to code representation and analysis.

Naturalness of Attention: Revisiting Attention in Code Language Models

no code implementations22 Nov 2023 Mootez Saad, Tushar Sharma

Language models for code such as CodeBERT offer the capability to learn advanced source code representation, but their opacity poses barriers to understanding of captured properties.

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement

no code implementations23 Aug 2023 Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma

This work will facilitate further advances in DL energy measurement and the development of energy-aware practices for DL systems.

Towards Real-Time Analysis of Broadcast Badminton Videos

1 code implementation23 Aug 2023 Nitin Nilesh, Tushar Sharma, Anurag Ghosh, C. V. Jawahar

In this work, we propose an end-to-end framework for player movement analysis for badminton matches on live broadcast match videos.

Quantifying Outlierness of Funds from their Categories using Supervised Similarity

no code implementations14 Aug 2023 Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali

Mutual fund categorization has become a standard tool for the investment management industry and is extensively used by allocators for portfolio construction and manager selection, as well as by fund managers for peer analysis and competitive positioning.

Management Metric Learning +1

DACOS-A Manually Annotated Dataset of Code Smells

no code implementations15 Mar 2023 Himesh Nandani, Mootez Saad, Tushar Sharma

Researchers apply machine-learning techniques for code smell detection to counter the subjectivity of many code smells.


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