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ORCIDVardaan Pahuja
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2020 – today
- 2024
[c9]Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su:
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. CIKM 2024: 1825-1835- [i13]Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su:
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. CoRR abs/2401.00608 (2024) - [i12]Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Fine-Tuning is Fine, if Calibrated. CoRR abs/2409.16223 (2024) - 2023
- [c8]Vardaan Pahuja
, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su:
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. CIKM 2023: 1992-2002 - [c7]Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. NeurIPS 2023 - [i11]Vardaan Pahuja, A. J. Piergiovanni, Anelia Angelova:
Diversifying Joint Vision-Language Tokenization Learning. CoRR abs/2306.03421 (2023) - [i10]Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. CoRR abs/2311.01420 (2023) - 2022
- [c6]Yu Gu, Vardaan Pahuja, Gong Cheng, Yu Su:
Knowledge Base Question Answering: A Semantic Parsing Perspective. AKBC 2022 - [i9]Yu Gu, Vardaan Pahuja, Gong Cheng, Yu Su:
Knowledge Base Question Answering: A Semantic Parsing Perspective. CoRR abs/2209.04994 (2022) - [i8]Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su:
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. CoRR abs/2212.09724 (2022) - 2021
- [c5]Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su:
A Systematic Investigation of KB-Text Embedding Alignment at Scale. ACL/IJCNLP (1) 2021: 1764-1774 - [i7]Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su:
A Systematic Investigation of KB-Text Embedding Alignment at Scale. CoRR abs/2106.01586 (2021)
2010 – 2019
- 2019
- [c4]Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher Joseph Pal:
Structure Learning for Neural Module Networks. LANTERN@EMNLP-IJCNLP 2019: 1-10 - [i6]Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher J. Pal:
Structure Learning for Neural Module Networks. CoRR abs/1905.11532 (2019) - [i5]Vardaan Pahuja, Jie Fu, Christopher J. Pal:
Learning Sparse Mixture of Experts for Visual Question Answering. CoRR abs/1909.09192 (2019) - 2018
- [j1]Manasa Jammi, Jaydeep Sen, Ashish R. Mittal, Sagar Verma, Vardaan Pahuja, Rema Ananthanarayanan, Pranay Lohia, Hima Karanam, Diptikalyan Saha, Karthik Sankaranarayanan:
Tooling Framework for Instantiating Natural Language Querying System. Proc. VLDB Endow. 11(12): 2014-2017 (2018) - [c3]Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. AAAI 2018: 705-713 - [i4]Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. CoRR abs/1801.10314 (2018) - [i3]Shagun Sodhani, Vardaan Pahuja:
Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering". CoRR abs/1805.08174 (2018) - [i2]Shagun Sodhani, Vardaan Pahuja:
Memory Augmented Self-Play. CoRR abs/1805.11016 (2018) - 2017
- [c2]Vardaan Pahuja, Anirban Laha, Shachar Mirkin, Vikas C. Raykar, Lili Kotlerman, Guy Lev:
Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks. INTERSPEECH 2017: 548-552 - [i1]Vardaan Pahuja, Anirban Laha, Shachar Mirkin, Vikas C. Raykar, Lili Kotlerman, Guy Lev:
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks. CoRR abs/1703.04650 (2017) - 2016
- [c1]Vardaan Pahuja, Ritwik Kumar Layek, Pabitra Mitra:
Learning a Probabilistic Boolean Network model from biological pathways and time-series expression data. EMBC 2016: 1471-1475
Coauthor Index
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