Vardaan Pahuja

Orcid: 0000-0001-7538-8474

According to our database1, Vardaan Pahuja authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs.
CoRR, 2024

2023
Diversifying Joint Vision-Language Tokenization Learning.
CoRR, 2023

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Retrieve-and-Read Framework for Knowledge Graph Link Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Knowledge Base Question Answering: A Semantic Parsing Perspective.
Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021
A Systematic Investigation of KB-Text Embedding Alignment at Scale.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2019
Learning Sparse Mixture of Experts for Visual Question Answering.
CoRR, 2019

Structure Learning for Neural Module Networks.
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge, 2019

2018
Tooling Framework for Instantiating Natural Language Querying System.
Proc. VLDB Endow., 2018

Memory Augmented Self-Play.
CoRR, 2018

Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering".
CoRR, 2018

Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks.
CoRR, 2017

Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks.
Proceedings of the Interspeech 2017, 2017

2016
Learning a Probabilistic Boolean Network model from biological pathways and time-series expression data.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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