Das, Arnav Mohanty

9 publications

TMLR 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, John P Dickerson, Pin-Yu Chen, Jeff Bilmes

TMLR 2025 How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models Sahil Verma, Royi Rassin, Arnav Mohanty Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff Bilmes, Hannaneh Hajishirzi, Yanai Elazar

NeurIPSW 2024 How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold Sahil Verma, Royi Rassin, Arnav Mohanty Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff Bilmes, Hannaneh Hajishirzi, Yanai Elazar

NeurIPSW 2024 How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold Sahil Verma, Royi Rassin, Arnav Mohanty Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff Bilmes, Hannaneh Hajishirzi, Yanai Elazar

DMLR 2024 LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D Nowak

NeurIPSW 2024 PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision Arnav Mohanty Das, Chi Ian Tang, Fahim Kawsar, Mohammad Malekzadeh

TMLR 2023 Accelerating Batch Active Learning Using Continual Learning Techniques Arnav Mohanty Das, Gantavya Bhatt, Megh Manoj Bhalerao, Vianne R. Gao, Rui Yang, Jeff Bilmes

NeurIPSW 2023 Effective Backdoor Mitigation Depends on the Pre-Training Objective Sahil Verma, Gantavya Bhatt, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P Dickerson, Jeff Bilmes

NeurIPSW 2023 LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Yinglun Zhu, Stephen Mussmann, Simon Shaolei Du, Jeff Bilmes, Kevin Jamieson, Robert D Nowak