Gantavya Bhatt

University of Washington

H-index: 4

North America-United States

About Gantavya Bhatt

Gantavya Bhatt, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Deep Learning, Machine Learning, Natural Language Processing, Representation Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep Submodular Peripteral Networks

An experimental design framework for label-efficient supervised finetuning of large language models

Effective Backdoor Mitigation Depends on the Pre-training Objective

RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar

High Resolution Point Clouds from mmWave Radar

Accelerating Batch Active Learning Using Continual Learning Techniques

LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning

Matryoshka representation learning

Gantavya Bhatt Information

University	University of Washington
Position	Graduate Student
Citations(all)	47
Citations(since 2020)	46
Cited By	1
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	2
i10Index(since 2020)	2
Email	Access Email
University Profile Page	University of Washington
Google Scholar	View Google Scholar Profile

Gantavya Bhatt Skills & Research Interests

Deep Learning

Machine Learning

Natural Language Processing

Representation Learning

Top articles of Gantavya Bhatt

Title	Journal	Author(s)	Publication Date
Deep Submodular Peripteral Networks	arXiv preprint arXiv:2403.08199	Gantavya Bhatt* Arnav Das* Jeff Bilmes	2024/3/13
An experimental design framework for label-efficient supervised finetuning of large language models	arXiv preprint arXiv:2401.06692	Gantavya Bhatt* Yifang Chen* Arnav M Das* Jifan Zhang* Sang T Truong ...	2024/1/12
Effective Backdoor Mitigation Depends on the Pre-training Objective		Sahil Verma Gantavya Bhatt Soumye Singhal Arnav Mohanty Das Chirag Shah ...	2023/10/28
RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar		Akarsh Prabhakara Tao Jin Arnav Das Gantavya Bhatt Lilly Kumari ...	2023/10/2
High Resolution Point Clouds from mmWave Radar		Akarsh Prabhakara Tao Jin Arnav Das Gantavya Bhatt Lilly Kumari ...	2023
Accelerating Batch Active Learning Using Continual Learning Techniques	arXiv preprint arXiv:2305.06408	Arnav Das Gantavya Bhatt Megh Bhalerao Vianne Gao Rui Yang ...	2023/5/10
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning		Jifan Zhang Yifang Chen Gregory Canal Arnav Mohanty Das Gantavya Bhatt ...	2023/12/22
Matryoshka representation learning		Aditya Kusupati Gantavya Bhatt Aniket Rege Matthew Wallingford Aditya Sinha ...	2022/12
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?	arXiv preprint arXiv:2010.04976	Hritik Bansal Gantavya Bhatt Sumeet Agarwal	2020/10/10
Systematic generalization in neural networks-based multivariate time series forecasting models		Hritik Bansal Gantavya Bhatt Pankaj Malhotra AP Prathosh	2021/7/18
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?	arXiv preprint arXiv:2005.08199	Gantavya Bhatt Hritik Bansal Rishubh Singh Sumeet Agarwal	2020/5/17
Lecture notes: Efficient approximation of kernel functions	arXiv preprint arXiv:2005.01566	Amitabha Bagchi Gantavya Bhatt Hritik Bansal	2020/5/4