Lilly Kumari

Lilly Kumari

PhD candidate

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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    • Posts

    portfolio

    publications

  • Audience Prism: Segmentation and Early Classification of Visitors Based on Reading Interests

    Lilly Kumari, Sunny Dhamnani, Akshat Bhatnagar, Atanu R Sinha, Ritwik Sinha
    Proceedings of the 3rd IKDD Conference on Data Science, 2016

    Download Paper

  • Botcha: detecting malicious non-human traffic in the wild

    Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay, Lilly Kumari, Margarita Savova
    RecSys Workshop on Online Misinformation- and Harm-Aware Recommender Systems, 2020

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  • Submodular Span with Applications to Conditional Data Summarization

    Lilly Kumari, Jeff Bilmes
    Proceedings of the AAAI Conference on Artificial Intelligence, 2021

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  • Retrospective Adversarial Replay for Continual Learning

    Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff Bilmes
    Proceedings of Advances in neural information processing systems (NeurIPS), 2022

    Download Paper | Code

  • Retrieval Augmented Generation for Dialog Modeling

    Lilly Kumari, Usama Shafqat, Nikhil Sarda
    NeurIPS Workshop on Efficient Natural Language and Speech Processing, 2023

    Download Paper

  • High resolution point clouds from mmwave radar

    Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff Bilmes, Swarun Kumar, Anthony Rowe
    Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2023

    Download Paper | Code

  • COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning

    Arnav Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff Bilmes
    ICML Workshop on Data-Centric Machine Learning Research, 2024

  • An End-to-End Submodular Framework for Data-Efficient In-Context Learning

    Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff Bilmes
    Proceedings of Findings of the Association for Computational Linguistics: NAACL, 2024

    Download Paper | Code

  • BumbleBee: Dynamic KV-Cache Streaming Submodular Summarization for Infinite-Context Transformers

    Lilly Kumari, Shengjie Wang, Tianyi Zhou, Nikhil Sarda, Anthony Rowe, Jeff Bilmes
    Proceedings of First Conference on Language Modeling (COLM), 2024

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    • talks

  • Talk 1 on Relevant Topic in Your Field


    UC San Francisco, Department of Testing, 2012

  • Tutorial 1 on Relevant Topic in Your Field


    UC-Berkeley Institute for Testing Science, 2013

  • Talk 2 on Relevant Topic in Your Field


    London School of Testing, 2014

  • Conference Proceeding talk 3 on Relevant Topic in Your Field


    Testing Institute of America 2014 Annual Conference, 2014

    • teaching

  • Advanced Introduction to Machine Learning (EEP 596)


    University of Washington, 2021

  • Deep Learning (EEP 596)


    University of Washington, 2021

  • Introduction to Statistical Learning (EE 511)


    University of Washington, 2024

  • TinyML (EEP 595)


    University of Washington, 2024