Vardaan Pahuja

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Natural Language

Recurrent Neural Networks

Structure Learning

Link Prediction

Top Venues

Proc. VLDB Endow.

Publications

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 (2024)
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)
Vardaan Pahuja, A. J. Piergiovanni, Anelia Angelova
Diversifying Joint Vision-Language Tokenization Learning. CoRR (2023)
Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. CIKM (2023)
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 (2023)
Yu Gu, Vardaan Pahuja, Gong Cheng, Yu Su
Knowledge Base Question Answering: A Semantic Parsing Perspective. CoRR (2022)
Yu Gu, Vardaan Pahuja, Gong Cheng, Yu Su
Knowledge Base Question Answering: A Semantic Parsing Perspective. AKBC (2022)
Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. CoRR (2022)
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)
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 (2021)
Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher J. Pal
Structure Learning for Neural Module Networks. CoRR (2019)
Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher Joseph Pal
Structure Learning for Neural Module Networks. LANTERN@EMNLP-IJCNLP (2019)
Vardaan Pahuja, Jie Fu, Christopher J. Pal
Learning Sparse Mixture of Experts for Visual Question Answering. CoRR (2019)
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 (2018)
Shagun Sodhani, Vardaan Pahuja
Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering". CoRR (2018)
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)
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) (2018)
Shagun Sodhani, Vardaan Pahuja
Memory Augmented Self-Play. CoRR (2018)
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)
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 (2017)
Vardaan Pahuja, Ritwik Kumar Layek, Pabitra Mitra
Learning a Probabilistic Boolean Network model from biological pathways and time-series expression data. EMBC (2016)