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Pages

Posts

Analyzing the Mode Collapse Problem in GANS

less than 1 minute read

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It is easier for someone to identify Picasso’s painting than drawing one. Generative models, which are known for generating or creating data, are considered much more difficult to build and train when compared to discriminative models, which are known for processing the data. We will understand the working of GANs and discuss some of the problems that commonly arise when training GANs. Read more

literaryposts

Souvenir Of Memories

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A short story to bring light and increase awareness on domestic abuse and mental health wellbeing. [Trigger warning!!] Read more

Baby Steps

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A poem for when your dreams feel too far fetched. Just know that even the baby steps do count! Read more

Care

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An excerpt from a book I’ll never write. Read more

portfolio

projects

Intent Based Duplicate Question Removal

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Identify whether two questions have the same intent or not. GloVe encoding and a network consisting of fully connected ReLU layers followed by sigmoid classifier were employed on the Quora dataset. Read more

publications

Analysis of Joints for Tracking Fitness and Monitoring Progress in Physiotherapy

Nikitha Rao, Piyush M Surana, Rahul Ragesh, Gowri Srinivasa
Published at: IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2019
[paper]

Studying Ransomware Attacks Using Web Search Logs

Chetan Bansal*, Pantazis Deligiannis*, Chandra Maddila*, Nikitha Rao*
Published at: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
[paper] [arXiv]

Product Insights: Analyzing Product Intents in Web Search

Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Maddila
Published at: 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020
[paper] [arXiv]

Analyzing Web Search Behavior for Software Engineering Tasks

Nikitha Rao, Chetan Bansal, Tom Zimmermann, Ahmed Hassan Awadallah, Nachi Nagappan
Published at: IEEE International Conference on Big Data (IEEE BigData), 2020
[paper] [arXiv]

Handling Class Imbalance with POISE: pAUC Optimization in Supervised Experiments

Nikitha Rao, Sreangsu Acharyya
Under Review, 2020
[paper]

Neural Knowledge Extraction From Cloud Service Incidents

Manish Shetty, Sumit Kumar, Chetan Bansal, Nikitha Rao, Nachi Nagappan, Tom Zimmermann
Published at: 43rd International Conference on Software Engineering (ICSE SEIP), 2021
[paper] [arXiv]

Search4Code: Code Search Intent Classification Using Weak Supervision

Nikitha Rao, Chetan Bansal, Joe Guan
Published at: Mining Software Repositories (MSR), 2021
[paper] [arXiv] [data]

Comments on Comments: Where Code Review and Documentation Meet

Nikitha Rao, Jason Tsay, Martin Hirzel, Vincent J. Hellendoorn
Published at: Mining Software Repositories (MSR), 2022
[paper] [arXiv] [data]

AI for Low-Code for AI

Nikitha Rao, Jason Tsay, Kiran Kate, Vincent J. Hellendoorn, Martin Hirzel
Published at: Intelligent User Interfaces (IUI), 2024
[paper] [arXiv] [code]

CAT-LM: Training Language Models on Aligned Code And Tests

Nikitha Rao*, Kush Jain*, Uri Alon, Claire Le Goues, Vincent Hellendoorn
Published at: Automated Software Engineering (ASE), 2023
[paper] [arXiv] [code] [data]

Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts

Jenny Liang, Melissa Lin, Nikitha Rao, Brad Myers
Published at: Under Submission, 2024
[arXiv]

DiffSpec: Differential Testing with LLMs using Natural Language Specifications and Code Artifacts

Nikitha Rao, Elizabeth Gilbert, Tahina Ramananandro, Nikhil Swamy, Claire Le Goues, Sarah Fakhoury
Published at: Under Submission, 2024
[arXiv] [code]

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post. Read more

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post. Read more