Gantavya Bhatt

According to our database, Gantavya Bhatt authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold.

Sahil Verma, Royi Rassin, Arnav Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar

CoRR, 2024

Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization.

Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover

CoRR, 2024

Deep Submodular Peripteral Networks.

Gantavya Bhatt, Arnav Das, Jeff A. Bilmes

CoRR, 2024

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.

Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak

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

2023

Accelerating Batch Active Learning Using Continual Learning Techniques.

Arnav Mohanty Das, Gantavya Bhatt, Megh Manoj Bhalerao, Vianne R. Gao, Rui Yang, Jeff A. Bilmes

Trans. Mach. Learn. Res., 2023

Effective Backdoor Mitigation Depends on the Pre-training Objective.

Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes

CoRR, 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

Matryoshka Representations for Adaptive Deployment.

Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi

CoRR, 2022

Matryoshka Representation Learning.

Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi

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

2021

Systematic Generalization for Predictive Control in Multivariate Time Series.

Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.

CoRR, 2021

Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models.

Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?

Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal

CoRR, 2020

How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?

Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020