| 2021 | EMNLP | Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. | Trapit Bansal, Karthick Prasad Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum |
| 2020 | AAAI | Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision. | Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum |
| 2020 | COLING | Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks. | Trapit Bansal, Rishikesh Jha, Andrew McCallum |
| 2020 | EMNLP | Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. | Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum |
| 2019 | ACL | A2N: Attending to Neighbors for Knowledge Graph Inference. | Trapit Bansal, Da-Cheng Juan, Sujith Ravi, Andrew McCallum |
| 2018 | EMNLP | Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets. | Nathan Greenberg, Trapit Bansal, Patrick Verga, Andrew McCallum |
| 2018 | ICLR | Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. | Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel |
| 2018 | ICLR | Emergent Complexity via Multi-Agent Competition. | Trapit Bansal, Jakub Pachocki, Szymon Sidor, Ilya Sutskever, Igor Mordatch |
| 2016 | RecSys | Untitled record | Trapit Bansal, David Belanger, Andrew McCallum |
| 2015 | AAAI | Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence. | Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya |
| 2015 | ICML | Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models. | Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya |
| 2015 | RecSys | Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles. | Trapit Bansal, Mrinal Kanti Das, Chiranjib Bhattacharyya |
| 2014 | WSDM | Going beyond Corr-LDA for detecting specific comments on news & blogs. | Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya |