A provable SVD-based algorithm for learning topics in dominant admixture corpus. - Trapit Bansal; Chiranjib Bhattacharyya; Ravindran Kannan (NIPS, 2014)

Going beyond Corr-LDA for detecting specific comments on news & blogs. - Mrinal Kanti Das; Trapit Bansal; Chiranjib Bhattacharyya (WSDM, 2014)

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

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

Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles. - Trapit Bansal; Mrinal Kanti Das; Chiranjib Bhattacharyya (RecSys, 2015)

Ask the GRU: Multi-task Learning for Deep Text Recommendations. - Trapit Bansal; David Belanger 002; Andrew McCallum (RecSys, 2016)

Ask the GRU: Multi-Task Learning for Deep Text Recommendations. - Trapit Bansal; David Belanger 002; Andrew McCallum (CoRR, 2016)

RelNet: End-to-end Modeling of Entities & Relations. - Trapit Bansal; Arvind Neelakantan; Andrew McCallum (AKBC@NIPS, 2017)

Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling. - Dung Thai; Shikhar Murty; Trapit Bansal; Luke Vilnis; David Belanger 002; Andrew McCallum (CoRR, 2017)

Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets. - Nathan Greenberg; Trapit Bansal; Patrick Verga; Andrew McCallum (EMNLP, 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 (ICLR (Poster), 2018)

A2N: Attending to Neighbors for Knowledge Graph Inference. - Trapit Bansal; Da-Cheng Juan; Sujith Ravi; Andrew McCallum (ACL (1), 2019)

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

Unsupervised Pre-training for Biomedical Question Answering. - Vaishnavi Kommaraju; Karthick Gunasekaran; Kun Li; Trapit Bansal; Andrew McCallum; Ivana Williams; Ana-Maria Istrate (CLEF (Working Notes), 2020)

Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks. - Trapit Bansal; Rishikesh Jha; Andrew McCallum (COLING, 2020)

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. - Trapit Bansal; Rishikesh Jha; Tsendsuren Munkhdalai; Andrew McCallum (EMNLP (1), 2020)

Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. - Trapit Bansal; Karthick Prasad Gunasekaran; Tong Wang 012; Tsendsuren Munkhdalai; Andrew McCallum (EMNLP (1), 2021)

Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations. - Dung Thai; Raghuveer Thirukovalluru; Trapit Bansal; Andrew McCallum (RepL4NLP@ACL-IJCNLP, 2021)

Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning. - Trapit Bansal; Salaheddin Alzubi; Tong Wang 012; Jay-Yoon Lee; Andrew McCallum (AutoML, 2022)

A moment in the sun: solar nowcasting from multispectral satellite data using self-supervised learning. - Akansha Singh Bansal; Trapit Bansal; David E. Irwin 001 (e-Energy, 2022)