- 2024
- Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig:
TraveLER: A Multi-LMM Agent Framework for Video Question-Answering. CoRR abs/2404.01476 (2024) - Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell:
Pose Priors from Language Models. CoRR abs/2405.03689 (2024) - Bharat Manvi, Sanjay Chandlekar, Easwar Subramanian:
Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium Analysis (Extended Version). CoRR abs/2405.04125 (2024) - 2023
- Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. ACL (2) 2023: 747-761 - Sanjay Chandlekar
, Easwar Subramanian
, Sujit Gujar
:
Multi-armed Bandit Based Tariff Generation Strategy for Multi-agent Smart Grid Systems. EMAS 2023: 113-129 - Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li:
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. EMNLP 2023: 1173-1185 - Julien Piet
, Vivek Nair, Sanjay Subramanian:
MEVade: An MEV-Resistant Blockchain Design. ICBC 2023: 1-9 - Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? ICCV 2023: 10049-10059 - Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. CoRR abs/2306.05392 (2023) - Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? CoRR abs/2308.10897 (2023) - Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li:
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. CoRR abs/2311.12391 (2023) - Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell:
Recursive Visual Programming. CoRR abs/2312.02249 (2023) - 2022
- Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. ACL (1) 2022: 5198-5215 - Sanjay Chandlekar, Easwar Subramanian, Sanjay P. Bhat, Praveen Paruchuri, Sujit Gujar:
Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids. AAMAS 2022: 1569-1571 - Sanjay Chandlekar
, Bala Suraj Pedasingu, Easwar Subramanian, Sanjay Bhat, Praveen Paruchuri, Sujit Gujar:
VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids. IJCAI 2022: 158-164 - Sanjay Chandlekar, Easwar Subramanian, Sanjay P. Bhat, Praveen Paruchuri, Sujit Gujar:
Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids. CoRR abs/2201.10127 (2022) - Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwar Subramanian, Sanjay Bhat:
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs. CoRR abs/2202.05517 (2022) - Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR abs/2204.05991 (2022) - 2021
- Mohamed Y. Eltabakh, Anantha Subramanian, Awny Al-Omari, Mohammed Al-Kateb, Sanjay Nair, Mahbub Hasan, Wellington Cabrera, Charles Zhang, Amit Kishore, Snigdha Prasad:
Not Black-Box Anymore! Enabling Analytics-Aware Optimizations in Teradata Vantage. Proc. VLDB Endow. 14(12): 2959-2971 (2021) - Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant:
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. Trans. Assoc. Comput. Linguistics 9: 195-210 (2021) - Nataraj Kuntagod, Sanjay Podder, Satya Sai Srinivas Abbabathula, Venkatesh Subramanian, Giju Mathew, Suresh Kumar Mani:
A Framework for Enabling Safe and Resilient Food Factories for Public Feeding Programs. SEH@ICSE 2021: 1-4 - Hang Dong
, Si Qin, Yong Xu, Bo Qiao
, Shandan Zhou, Xian Yang
, Chuan Luo
, Pu Zhao
, Qingwei Lin
, Hongyu Zhang
, Abulikemu Abuduweili
, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou
, Saravanakumar Rajmohan, Dongmei Zhang
, Thomas Moscibroda:
Effective low capacity status prediction for cloud systems. ESEC/SIGSOFT FSE 2021: 1236-1241 - Nataraj Kuntagod, Sanjay Podder, Satya Sai Srinivas Abbabathula, Venkatesh Subramanian, Giju Mathew, Suresh Kumar Mani:
A Framework for Enabling Safe and Resilient Food Factories for the Public Feeding Programs. CoRR abs/2103.04811 (2021) - 2020
- Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat:
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy. AAAI 2020: 1974-1981 - Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL 2020: 5594-5608 - Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 2020: 1307-1323 - Sanjay Subramanian, Lucy Lu Wang
, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi:
MedICaT: A Dataset of Medical Images, Captions, and Textual References. EMNLP (Findings) 2020: 2112-2120 - Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating NLP Models via Contrast Sets. CoRR abs/2004.02709 (2020) - Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR abs/2005.00724 (2020) - Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant:
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. CoRR abs/2007.00266 (2020)