Browsing Year-2023 by Title

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  • Real-time covert communication 
    Kumar, Anirudh S.; Kumar, Prateek; Chakravarty, Sambuddho (Advisor) (IIIT-Delhi, 2023-11-29)
    In recent years, the censorship measures taken by various countries have introduced large-scale and sophisticated apparatuses to prevent citizens from accessing the internet freely. Numerous efforts have been made in this ...
  • Realising AQM algorithms on programmable network switch hardware 
    Bothra, Vedant; Peer, Aditya; Shah, Rinku (Advisor); Maity, Mukulika (Advisor) (IIIT-Delhi, 2023-11-29)
    In the world of computer networks, if we think of the internet , there is always a tradeoff between speed and how much data can be sent through the network which often leads to the use of large storage areas called buffers. ...
  • Ring fencing 
    Nangia, Aditya; Bhupal, Saksham; Mohania, Mukesh (Advisor) (IIIT-Delhi, 2023-10-29)
    In an era marked by unprecedented data growth and pervasive digital influence, ensuring model privacy is imperative as machine learning models gain prominence in diverse domains like healthcare, finance, and business. ...
  • Risk calculator for heart attack patients 
    Mohit; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-28)
    This study aims to enhance the accuracy of predicting the 30-day mortality rate among patients following their first heart attack by leveraging machine learning and deep learning techniques. The current cardiac risk ...
  • RNN based molecule generation for developing novel therapeutics for neurodegenerative diseases 
    Vaishnavi; Sibin, K.; Murugan, N Arul (Advisor) (IIIT-Delhi, 2023-11-29)
    Neurodegenerative diseases pose a significant global health challenge, necessitating innovative approaches for drug discovery. This study explores the application of recurrent neural networks (RNNs) in the generation of ...
  • Robust OCR for information extraction from retail flyers 
    Singh, Shashank Shekhar; Singh, Abhijeet; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    This report explores the augmentation of the RanLayNet research paper by addressing limitations in existing datasets for domain adaptation. Through a comprehensive analysis of Ran- LayNet, PubLayNet, and DocLayNet papers, ...
  • Robustness of foundational models for hate speech detection: analyzing pretraining dynamics and finetuning settings 
    Khan, Mohammad Aflah; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Despite the widespread adoption, there is a lack of research into how various critical aspects of LLMs affect their performance in hate speech detection. Through five research questions, our findings and recommendations ...
  • Scientific text generation 
    Prasad, Kritarth; Goel, Ujjwal; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    The project focuses on controlling text generation through Large Language Models (LLMs) using advanced prompt engineering and knowledge representation. The project aims to improve controllable citation text generation and ...
  • Scientific workflow optimisation 
    Jain, Aakarsh; Kumar, Vivek (Advisor) (IIIT-Delhi, 2023-11-29)
    With the constant widespread of computing devices, improving the efficiency of tasks has increasingly significant ramifications towards decreasing the power consumption, and reducing the overall cost toward operation of ...
  • Smartphone-based pupil dynamics analysis for neurodevelopmental disorder diagnosis 
    Raina, Samarth; Sharma, Swati; Yadav, Muskan; Shukla, Jainendra (Advisor); Ray, Sonia Baloni (Advisor); Chakrabarty, Mrinmoy (Advisor) (IIIT-Delhi, 2023-12-30)
    This research aims to improve the diagnosis of neurodevelopmental disorders by using smartphones, focusing on the psychology of eyes through pupil dynamics analysis. We are developing a user-friendly smartphone app to track ...
  • Socio-economic analysis - caste and entrepreneurship in India 
    Haider, Mohammad Faizan; Sharma, Ananya; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-29)
    Numerous policies have been implemented without thorough impact analysis. We focus on evaluating the effectiveness of reservation in uplifting the Scheduled Castes (SC) and Scheduled Tribes (ST) communities. In this study, ...
  • Teacher-student collaborative knowledge distillation 
    Dixit, Shantanu; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Knowledge distillation is a technique that involves transferring knowledge from a larger teacher model to a smaller student model. The latest developments in meta-learning-based knowledge distillation emphasize the ...
  • Temporal causal effect variational autoencoder 
    Aggarwal, Soumya; Gandhi, Vansh; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-12-12)
    This work is a review on causal inference with a focus on predicting temporal Individual Treatment Effects (ITEs). Various approaches were investigated, and the Causal Effect Variational Autoencoder (CEVAE) was selected ...
  • Text-to-talking face: emotionally rich facial animation synthesis 
    Maini, Sarthak; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2023-11-29)
    Given the facial image of an individual along with audio, Talking face generation aims to synthesize portrait videos of the individual that are conditioned by the given audio. Existing methods focus on generating talking ...
  • Transforming course feedback: personalized opine surveys using language models 
    Shrivastva, Kunal; Tanwar, Henansh; Singh, Rahul; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This B.Tech project at IIIT-Delhi reimagines the traditional course feedback system, ”opine,” by transitioning to a personalized model using Language Models (LLMs). The project is designed for flexibility, allowing easy ...
  • Uncovering intellectual property threats to language models 
    Singh, Srishti; Goyal, Vikram (Advisor) (2023-11-29)
    The commercial use of Natural Language Processing (NLP) has gained significant popularity in recent years. Many companies train and deploy language models to perform tasks like Sentiment classification, Machine Translation ...
  • Unit test generation using LLMs: a comparative performance analysis of autogeneration tools 
    Gandhi, Tarushi; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    Generating unit tests is a crucial undertaking in software development, demanding substantial time and effort from programmers. The advent of Large Language Models (LLMs) introduces a novel avenue for unit test script ...
  • Unsupervised domain adaptation for semantic segmentation 
    Singhal, Ojus; Anand, Saket (Advisor); Agarwal, Sharat (Advisor) (IIIT-Delhi, 2023-11-27)
    Unsupervised domain adaptation (UDA) has emerged as a vital research area in the field of machine learning and computer vision. It addresses the challenge of adapting models trained on a labeled source domain to perform ...
  • Unsupervised pre-trained vitals signals embeddings for fine-tuned prognostication: a multi resolution approach 
    Sheoran, Ashwin; Patil, Vedant; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The project introduces an innovative method for predicting shock in ICU patients by leveraging unsupervised pre-trained embeddings from vital signs. Utilizing the extensive eICU and MIMIC datasets, the research focuses on ...
  • Unsupervised pre-trained vitals signals embeddings for fine-tuned prognostication: a multi-resolution approach 
    Sheoran, Ashwin; Patil, Vedant; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The project introduces an innovative method for predicting shock in ICU patients by leveraging unsupervised pre-trained embeddings from vital signs. Utilizing the extensive eICU and MIMIC datasets, the research focuses on ...

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