Vardaan Pahuja

Vardaan Pahuja

I am a Ph.D. student in CSE at The Ohio State University. I am fortunate to be advised by Prof. Yu Su. I graduated with M.Sc. (thesis track) in Computer Science from Université de Montréal (affiliated with MILA). Prior to this, I was working as Software Engineer in IBM India Research Lab., Bangalore. I graduated with Bachelor of Technology (Hons.) from IIT Kharagpur, India.

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News

  • [July 2024] Our work Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs has been accepted to CIKM'24.
  • [Aug 2023] Our work A Retrieve-and-Read Framework for Knowledge Graph Link Prediction has been accepted to CIKM'23.
  • [June 2023] Our work SalsaBot: Towards a Robust and Generalizable Embodied Agent has been accepted to Embodied AI workshop at CVPR 2023.
  • [May 2023] My internship work @ Google Brain is accepted to Transformers for Vison (T4V) workshop, CVPR 2023 [Diversifying Joint Vision-Language Tokenization Learning].
  • [Feb 2023] Our team Salsabot has qualified to enter the semifinals of Alexa Prize Simbot Challenge.
  • [Oct 2022] Attending Automated Knowledge Base Construction (AKBC) at London, UK.
  • [April 2022] Interning at Google Brain this summer.
  • [May 2021] Long paper accepted to ACL 2021 (Oral).
  • [March 2021] Interning at Bosch AI Research this summer.

Research Interests

Multimodal Foundation Models, Knowledge Graph Reasoning, Graph Representation Learning, Natural Language Processing

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Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs
Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Berger-Wolf, Charles Stewart, Song Gao, Wei-Lun Chao, Yu Su
[pdf] [code] CIKM 24 (Oral)
[poster] Honourable Mention, OSU CSE Graduate Student Research Poster Exhibition
[short version] CV4Animals workshop, CVPR 24 (Oral)

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A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su
[pdf] [code] [blog] CIKM 23 (Oral)

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Diversifying Joint Vision-Language Tokenization Learning
Vardaan Pahuja, AJ Piergiovanni, Anelia Angelova
[pdf] [poster] Transformers for Vision workshop, CVPR 2023

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Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Cheng-Hao Tu, Hong-You Chen, Jike Zhong, Zheda Mai, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao
[pdf] NeurIPS 2023

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Knowledge Base Question Answering: A Semantic Parsing Perspective
Yu Gu, Vardaan Pahuja, Gong Cheng, Yu Su
[pdf] AKBC 2022

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A Systematic Investigation of KB-Text Embedding Alignment at Scale
Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen and Yu Su
[pdf] [code] [slides] ACL 2021 (Oral)
[poster] Also presented at AKBC 22.

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Structure Learning for Neural Module Networks
Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher J Pal
[pdf] [code] [slides] LANTERN workshop, EMNLP 2019

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Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph
Amrita Saha*, Vardaan Pahuja*, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar
[pdf] [code] [website] [slides] AAAI 2018

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Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks
Vardaan Pahuja*, Anirban Laha*, Shachar Mirkin, Vikas Raykar, Lili Kotlerman, Guy Lev
[pdf] [code] Interspeech 2017

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Learning a Probabilistic Boolean Network Model from Biological Pathways and Time-series Expression Data
Vardaan Pahuja, Ritwik Kumar Layek, Pabitra Mitra
[paper] EMBC 16

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SalsaBot: Towards a Robust and Generalizable Embodied Agent
Chan Hee Song, Jiaman Wu, Ju-Seung Byeon, Zexin Xu, Vardaan Pahuja, Goonmeet Bajaj, Samuel Stevens, Ziru Chen, Yu Su
[short version] Embodied AI Workshop at CVPR 2023
[long version] Alexa Prize SimBot Challenge Proceedings 2023

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Learning Sparse Mixture of Experts for Visual Question Answering
Vardaan Pahuja, Jie Fu, Christopher J Pal
[pdf] Visual Question Answering and Dialog Workshop, CVPR 2019

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Tooling framework for instantiating natural language querying system
Manasa Jammi, Jaydeep Sen, Ashish Mittal, Sagar Verma, Vardaan Pahuja, Rema Ananthanarayanan, Pranay Lohia, Hima Karanam, Diptikalyan Saha, Karthik Sankaranarayanan
[pdf] VLDB Endowment 2018



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