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Sanjay Subramanian
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2020 – today
- 2024
- [c15]Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell:
Recursive Visual Programming. ECCV (43) 2024: 1-18 - [c14]Josh Barua, Sanjay Subramanian, Kayo Yin, Alane Suhr:
Using Language Models to Disambiguate Lexical Choices in Translation. EMNLP 2024: 4837-4848 - [c13]Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig:
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering. EMNLP 2024: 9740-9766 - [i17]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) - [i16]Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell:
Pose Priors from Language Models. CoRR abs/2405.03689 (2024) - 2023
- [c12]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 - [c11]Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li:
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. EMNLP 2023: 1173-1185 - [c10]Julien Piet, Vivek Nair, Sanjay Subramanian:
MEVade: An MEV-Resistant Blockchain Design. ICBC 2023: 1-9 - [c9]Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? ICCV 2023: 10049-10059 - [i15]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) - [i14]Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? CoRR abs/2308.10897 (2023) - [i13]Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li:
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. CoRR abs/2311.12391 (2023) - [i12]Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell:
Recursive Visual Programming. CoRR abs/2312.02249 (2023) - 2022
- [c8]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 - [i11]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
- [j1]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) - 2020
- [c7]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 - [c6]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 - [c5]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 - [i10]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) - [i9]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) - [i8]Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant:
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. CoRR abs/2007.00266 (2020) - [i7]Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi:
MedICaT: A Dataset of Medical Images, Captions, and Textual References. CoRR abs/2010.06000 (2020)
2010 – 2019
- 2019
- [c4]Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh:
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. EMNLP/IJCNLP (3) 2019: 7-12 - [c3]Qiang Ning, Sanjay Subramanian, Dan Roth:
An Improved Neural Baseline for Temporal Relation Extraction. EMNLP/IJCNLP (1) 2019: 6202-6208 - [c2]Barna Saha, Sanjay Subramanian:
Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost. ESA 2019: 81:1-81:17 - [c1]Sanjay Subramanian, Dan Roth:
Improving Generalization in Coreference Resolution via Adversarial Training. *SEM@NAACL-HLT 2019: 192-197 - [i6]Sanjay Subramanian, Sameer Singh, Matt Gardner:
Analyzing Compositionality in Visual Question Answering. ViGIL@NeurIPS 2019 - [i5]Sanjay Subramanian, Dan Roth:
Improving Generalization in Coreference Resolution via Adversarial Training. CoRR abs/1908.04728 (2019) - [i4]Barna Saha, Sanjay Subramanian:
Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost. CoRR abs/1908.04976 (2019) - [i3]Qiang Ning, Sanjay Subramanian, Dan Roth:
An Improved Neural Baseline for Temporal Relation Extraction. CoRR abs/1909.00429 (2019) - [i2]Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh:
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. CoRR abs/1909.09251 (2019) - 2018
- [i1]Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, Dan Roth:
Named Person Coreference in English News. CoRR abs/1810.11476 (2018)
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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