Bansal, Trapit

7 publications

AutoML 2022 Meta-Adapters: Parameter Efficient Few-Shot Fine-Tuning Through Meta-Learning Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum

AAAI 2020 Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-Level Supervision Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum

ICLR 2018 Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel

ICLR 2018 Emergent Complexity via Multi-Agent Competition Trapit Bansal, Jakub Pachocki, Szymon Sidor, Ilya Sutskever, Igor Mordatch

ICML 2015 Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya

AAAI 2015 Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya

NeurIPS 2014 A Provable SVD-Based Algorithm for Learning Topics in Dominant Admixture Corpus Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan