Learning a Probabilistic Boolean Network model from biological pathways and time-series expression data. - Vardaan Pahuja; Ritwik Kumar Layek; Pabitra Mitra (EMBC, 2016)

Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks. - Vardaan Pahuja; Anirban Laha; Shachar Mirkin; Vikas C. Raykar; Lili Kotlerman; Guy Lev (INTERSPEECH, 2017)

Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks. - Vardaan Pahuja; Anirban Laha; Shachar Mirkin; Vikas C. Raykar; Lili Kotlerman; Guy Lev (CoRR, 2017)

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 (AAAI, 2018)

Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering". - Shagun Sodhani; Vardaan Pahuja (CoRR, 2018)

Memory Augmented Self-Play. - Shagun Sodhani; Vardaan Pahuja (CoRR, 2018)

Tooling Framework for Instantiating Natural Language Querying System. - Manasa Jammi; Jaydeep Sen; Ashish R. Mittal; Sagar Verma; Vardaan Pahuja; Rema Ananthanarayanan; Pranay Lohia; Hima Karanam; Diptikalyan Saha; Karthik Sankaranarayanan (Proc. VLDB Endow., 2018)

Structure Learning for Neural Module Networks. - Vardaan Pahuja; Jie Fu 001; Sarath Chandar; Christopher Joseph Pal (LANTERN@EMNLP-IJCNLP, 2019)

Learning Sparse Mixture of Experts for Visual Question Answering. - Vardaan Pahuja; Jie Fu 001; Christopher J. Pal (CoRR, 2019)

A Systematic Investigation of KB-Text Embedding Alignment at Scale. - Vardaan Pahuja; Yu Gu 016; Wenhu Chen; Mehdi Bahrami; Lei Liu; Wei-Peng Chen; Yu Su 001 (ACL/IJCNLP (1), 2021)

Knowledge Base Question Answering: A Semantic Parsing Perspective. - Yu Gu 016; Vardaan Pahuja; Gong Cheng 001; Yu Su 001 (AKBC, 2022)

A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. - Vardaan Pahuja; Boshi Wang; Hugo Latapie; Jayanth Srinivasa; Yu Su 001 (CIKM, 2023)

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. - Cheng-Hao Tu 001; Hong-You Chen; Zheda Mai; Jike Zhong; Vardaan Pahuja; Tanya Y. Berger-Wolf; Song Gao 001; Charles V. Stewart; Yu Su 001; Wei-Lun Chao (NeurIPS, 2023)

Diversifying Joint Vision-Language Tokenization Learning. - Vardaan Pahuja; A. J. Piergiovanni; Anelia Angelova (CoRR, 2023)

Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. - Vardaan Pahuja; Weidi Luo; Yu Gu 016; Cheng-Hao Tu 001; Hong-You Chen; Tanya Y. Berger-Wolf; Charles V. Stewart; Song Gao 001; Wei-Lun Chao; Yu Su 001 (CIKM, 2024)

Fine-Tuning is Fine, if Calibrated. - Zheda Mai; Arpita Chowdhury; Ping Zhang 016; Cheng-Hao Tu 001; Hong-You Chen; Vardaan Pahuja; Tanya Y. Berger-Wolf; Song Gao 001; Charles V. Stewart; Yu Su 001; Wei-Lun Chao (NeurIPS, 2024)

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. - Vardaan Pahuja; Weidi Luo; Yu Gu 016; Cheng-Hao Tu 001; Hong-You Chen; Tanya Y. Berger-Wolf; Charles V. Stewart; Song Gao 001; Wei-Lun Chao; Yu Su 001 (CoRR, 2024)

Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents. - Vardaan Pahuja; Yadong Lu; Corby Rosset; Boyu Gou; Arindam Mitra; Spencer Whitehead; Yu Su 001; Ahmed Hassan Awadallah (ACL (Findings), 2025)