Gantavya Bhatt

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Dependency Analysis

Multivariate Time Series

Triangular Mesh

Top Venues

Publications

Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization. CoRR (2024)
Gantavya Bhatt, Arnav Das, Jeff A. Bilmes
Deep Submodular Peripteral Networks. CoRR (2024)
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR (2024)
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
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) (2024)
Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes
Effective Backdoor Mitigation Depends on the Pre-training Objective. CoRR (2023)
Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe
RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar. MobiCom (2023)
Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe
High Resolution Point Clouds from mmWave Radar. ICRA (2023)
Arnav Mohanty Das, Gantavya Bhatt, Megh Manoj Bhalerao, Vianne R. Gao, Rui Yang, Jeff A. Bilmes
Accelerating Batch Active Learning Using Continual Learning Techniques. Trans. Mach. Learn. Res. 2023 (2023)
Arnav Das, Gantavya Bhatt, Megh Bhalerao, Vianne Gao, Rui Yang, Jeff A. Bilmes
Accelerating Batch Active Learning Using Continual Learning Techniques. CoRR (2023)
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
Matryoshka Representations for Adaptive Deployment. CoRR (2022)
Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghaei, Jeff A. Bilmes, Swarun Kumar, Anthony G. Rowe
High Resolution Point Clouds from mmWave Radar. CoRR (2022)
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
Matryoshka Representation Learning. NeurIPS (2022)
Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.
Systematic Generalization for Predictive Control in Multivariate Time Series. CoRR (2021)
Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. IJCNN (2021)
Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? ACL (student) (2020)
Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? CoRR (2020)
Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? CoRR (2020)