How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? - Gantavya Bhatt; Hritik Bansal; Rishubh Singh; Sumeet Agarwal (ACL (student), 2020)

Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? - Hritik Bansal; Gantavya Bhatt; Sumeet Agarwal (CoRR, 2020)

Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. - Hritik Bansal; Gantavya Bhatt; Pankaj Malhotra; Prathosh AP (IJCNN, 2021)

Systematic Generalization for Predictive Control in Multivariate Time Series. - Hritik Bansal; Gantavya Bhatt; Pankaj Malhotra; Prathosh A. P. (CoRR, 2021)

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 002; Ali Farhadi (NeurIPS, 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 002; Ali Farhadi (CoRR, 2022)

High Resolution Point Clouds from mmWave Radar. - Akarsh Prabhakara; Tao Jin; Arnav Das 001; Gantavya Bhatt; Lilly Kumari; Elahe Soltanaghai; Jeff A. Bilmes; Swarun Kumar; Anthony Rowe 001 (ICRA, 2023)

RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar. - Akarsh Prabhakara; Tao Jin; Arnav Das 001; Gantavya Bhatt; Lilly Kumari; Elahe Soltanaghai; Jeff A. Bilmes; Swarun Kumar; Anthony Rowe 001 (MobiCom, 2023)

Effective Backdoor Mitigation Depends on the Pre-training Objective. - Sahil Verma; Gantavya Bhatt; Avi Schwarzschild; Soumye Singhal; Arnav Mohanty Das; Chirag Shah 001; John P. Dickerson; Jeff A. Bilmes (CoRR, 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)

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. - Gantavya Bhatt; Yifang Chen 001; 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 (ACL (Findings), 2024)

Deep Submodular Peripteral Networks. - Gantavya Bhatt; Arnav Das 001; Jeff A. Bilmes (NeurIPS, 2024)

How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold. - Sahil Verma; Royi Rassin; Arnav Das 001; Gantavya Bhatt; Preethi Seshadri; Chirag Shah 001; Jeff A. Bilmes; Hannaneh Hajishirzi; Yanai Elazar (CoRR, 2024)

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning. - Arnav Mohanty Das; Gantavya Bhatt; Lilly Kumari; Sahil Verma; Jeff Bilmes (CoRR, 2024)

Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization. - Hritik Bansal; Ashima Suvarna; Gantavya Bhatt; Nanyun Peng 001; Kai-Wei Chang; Aditya Grover (ACL (Findings), 2025)

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation. - Arnav M. Das; Gantavya Bhatt; Lilly Kumari; Sahil Verma; Jeff Bilmes (CVPR, 2025)

Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective. - Sahil Verma; Gantavya Bhatt; Avi Schwarzschild; Soumye Singhal; Arnav Mohanty Das; Chirag Shah 001; John P. Dickerson; Pin-Yu Chen; Jeff Bilmes (Trans. Mach. Learn. Res., 2025)