Trapit Bansal - RankMe

31 papers A* 4A 2B 1Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	A moment in the sun: solar nowcasting from multispectral satellite data using self-supervised learning. e-Energy Akansha Singh Bansal, Trapit Bansal, David Irwin
2022	—	`conf`	Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning. AutoML Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum
2021	J	`jnl`	A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning. CoRR Akansha Singh Bansal, Trapit Bansal, David Irwin
2021	—	`conf`	Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. EMNLP (1) Trapit Bansal, Karthick Prasad Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum
2021	J	`jnl`	Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. CoRR Trapit Bansal, Karthick Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum
2021	—	`ed.`	Proceedings of the 6th Workshop on Representation Learning for NLP, RepL4NLP@ACL-IJCNLP 2021, Online, August 6, 2021 RepL4NLP@ACL-IJCNLP Anna Rogers, Iacer Calixto, Ivan Vulic, Naomi Saphra, Nora Kassner, Oana-Maria Camburu, Trapit Bansal, Vered Shwartz
2021	—	`conf`	Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations. RepL4NLP@ACL-IJCNLP Dung Thai, Raghuveer Thirukovalluru, Trapit Bansal, Andrew McCallum
2020	B	`conf`	Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks. COLING Trapit Bansal, Rishikesh Jha, Andrew McCallum
2020	—	`conf`	Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. EMNLP (1) Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum
2020	J	`jnl`	Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. CoRR Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum
2020	A*	`conf`	Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision. AAAI Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum
2020	—	`conf`	Unsupervised Pre-training for Biomedical Question Answering. CLEF (Working Notes) Vaishnavi Kommaraju, Karthick Gunasekaran, Kun Li, Trapit Bansal, Andrew McCallum, Ivana Williams, Ana-Maria Istrate
2020	J	`jnl`	Unsupervised Pre-training for Biomedical Question Answering. CoRR Vaishnavi Kommaraju, Karthick Gunasekaran, Kun Li, Trapit Bansal, Andrew McCallum, Ivana Williams, Ana-Maria Istrate
2019	—	`conf`	A2N: Attending to Neighbors for Knowledge Graph Inference. ACL (1) Trapit Bansal, Da-Cheng Juan, Sujith Ravi, Andrew McCallum
2019	J	`jnl`	Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks. CoRR Trapit Bansal, Rishikesh Jha, Andrew McCallum
2019	J	`jnl`	Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision. CoRR Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum
2018	—	`conf`	Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. ICLR Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
2018	—	`conf`	Emergent Complexity via Multi-Agent Competition. ICLR (Poster) Trapit Bansal, Jakub Pachocki, Szymon Sidor, Ilya Sutskever, Igor Mordatch
2018	A*	`conf`	Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets. EMNLP Nathan Greenberg, Trapit Bansal, Patrick Verga, Andrew McCallum
2017	J	`jnl`	Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. CoRR Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
2017	J	`jnl`	Emergent Complexity via Multi-Agent Competition. CoRR Trapit Bansal, Jakub Pachocki, Szymon Sidor, Ilya Sutskever, Igor Mordatch
2017	J	`jnl`	Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling. CoRR Dung Thai, Shikhar Murty, Trapit Bansal, Luke Vilnis, David Belanger, Andrew McCallum
2017	—	`conf`	RelNet: End-to-end Modeling of Entities & Relations. AKBC@NIPS Trapit Bansal, Arvind Neelakantan, Andrew McCallum
2017	J	`jnl`	RelNet: End-to-end Modeling of Entities & Relations. CoRR Trapit Bansal, Arvind Neelakantan, Andrew McCallum
2016	J	`jnl`	Ask the GRU: Multi-Task Learning for Deep Text Recommendations. CoRR Trapit Bansal, David Belanger, Andrew McCallum
2015	A	`conf`	Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles. RecSys Trapit Bansal, Mrinal Kanti Das, Chiranjib Bhattacharyya
2015	A*	`conf`	Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models. ICML Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
2015	A*	`conf`	Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence. AAAI Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
2014	—	`conf`	A provable SVD-based algorithm for learning topics in dominant admixture corpus. NIPS Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan
2014	J	`jnl`	A provable SVD-based algorithm for learning topics in dominant admixture corpus. CoRR Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan
2014	A	`conf`	Going beyond Corr-LDA for detecting specific comments on news & blogs. WSDM Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya