Gantavya Bhatt

25 papers A* 5B 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation. CVPR Arnav M. Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff A. Bilmes
2025	—	`conf`	Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization. ACL (Findings) Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover
2025	J	`jnl`	Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective. Trans. Mach. Learn. Res. Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Pin-Yu Chen, Jeff A. Bilmes
2025	J	`jnl`	How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models. Trans. Mach. Learn. Res. Sahil Verma, Royi Rassin, Arnav Mohanty Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar
2024	—	`conf`	An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
2024	J	`jnl`	An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
2024	J	`jnl`	COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning. CoRR Arnav Mohanty Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff A. Bilmes
2024	J	`jnl`	Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization. CoRR Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover
2024	A*	`conf`	Deep Submodular Peripteral Networks. NeurIPS Gantavya Bhatt, Arnav Das, Jeff A. Bilmes
2024	J	`jnl`	Deep Submodular Peripteral Networks. CoRR Gantavya Bhatt, Arnav Das, Jeff A. Bilmes
2024	J	`jnl`	How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold. CoRR Sahil Verma, Royi Rassin, Arnav Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar
2024	J	`jnl`	LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning. J. Data-centric Mach. Learn. Res. Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2023	J	`jnl`	Accelerating Batch Active Learning Using Continual Learning Techniques. CoRR Arnav Mohanty Das, Gantavya Bhatt, Megh Bhalerao, Vianne R. Gao, Rui Yang, Jeff A. Bilmes
2023	J	`jnl`	Accelerating Batch Active Learning Using Continual Learning Techniques. Trans. Mach. Learn. Res. Arnav Mohanty Das, Gantavya Bhatt, Megh Manoj Bhalerao, Vianne R. Gao, Rui Yang, Jeff A. Bilmes
2023	J	`jnl`	Effective Backdoor Mitigation Depends on the Pre-training Objective. CoRR Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes
2023	A*	`conf`	High Resolution Point Clouds from mmWave Radar. ICRA Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe
2023	A*	`conf`	RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar. MobiCom Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe
2022	J	`jnl`	High Resolution Point Clouds from mmWave Radar. CoRR Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghaei, Jeff A. Bilmes, Swarun Kumar, Anthony G. Rowe
2022	A*	`conf`	Matryoshka Representation Learning. NeurIPS Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
2022	J	`jnl`	Matryoshka Representations for Adaptive Deployment. CoRR Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
2021	J	`jnl`	Systematic Generalization for Predictive Control in Multivariate Time Series. CoRR Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.
2021	B	`conf`	Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. IJCNN Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP
2020	J	`jnl`	Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? CoRR Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal
2020	—	`conf`	How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? ACL (student) Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal
2020	J	`jnl`	How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? CoRR Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal