Trapit Bansal
Trapit Bansal
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TitleCited byYear
Ask the GRU: Multi-task learning for deep text recommendations
T Bansal, D Belanger, A McCallum
Proceedings of the 10th ACM Conference on Recommender Systems, 107-114, 2016
1392016
Continuous adaptation via meta-learning in nonstationary and competitive environments
M Al-Shedivat, T Bansal, Y Burda, I Sutskever, I Mordatch, P Abbeel
arXiv preprint arXiv:1710.03641, 2017
1172017
Emergent complexity via multi-agent competition
T Bansal, J Pachocki, S Sidor, I Sutskever, I Mordatch
arXiv preprint arXiv:1710.03748, 2017
1162017
Content driven user profiling for comment-worthy recommendations of news and blog articles
T Bansal, M Das, C Bhattacharyya
Proceedings of the 9th ACM Conference on Recommender Systems, 195-202, 2015
422015
A provable SVD-based algorithm for learning topics in dominant admixture corpus
T Bansal, C Bhattacharyya, R Kannan
Advances in Neural Information Processing Systems, 1997-2005, 2014
342014
Marginal likelihood training of bilstm-crf for biomedical named entity recognition from disjoint label sets
N Greenberg, T Bansal, P Verga, A McCallum
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
192018
Relnet: End-to-end modeling of entities & relations
T Bansal, A Neelakantan, A McCallum
arXiv preprint arXiv:1706.07179, 2017
182017
Going beyond Corr-LDA for detecting specific comments on news & blogs
MK Das, T Bansal, C Bhattacharyya
Proceedings of the 7th ACM international conference on Web search and data …, 2014
132014
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks
T Bansal, R Jha, A McCallum
arXiv preprint arXiv:1911.03863, 2019
12019
A2N: Attending to Neighbors for Knowledge Graph Inference
T Bansal, DC Juan, S Ravi, A McCallum
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
12019
Relating romanized comments to news articles by inferring multi-glyphic topical correspondence
G Tholpadi, MK Das, T Bansal, C Bhattacharyya
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
12015
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models
M Das, T Bansal, C Bhattacharyya
1*
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
T Bansal, P Verga, N Choudhary, A McCallum
arXiv preprint arXiv:1912.01070, 2019
2019
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling
D Thai, S Murty, T Bansal, L Vilnis, D Belanger, A McCallum
arXiv preprint arXiv:1708.00553, 2017
2017
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