Lilly Kumari

According to our database, Lilly Kumari authored at least 9 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation.

Arnav M. Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff Bilmes

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning.

Arnav Mohanty Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff Bilmes

CoRR, 2024

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

Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff A. Bilmes

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar.

Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

High Resolution Point Clouds from mmWave Radar.

Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Retrospective Adversarial Replay for Continual Learning.

Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Submodular Span, with Applications to Conditional Data Summarization.

Lilly Kumari, Jeff A. Bilmes

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Botcha: Detecting Malicious Non-Human Traffic in the Wild.

Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay, Lilly Kumari, Margarita Savova

Proceedings of the Workshop on Online Misinformation- and Harm-Aware Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

2016

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