← Authors

Trapit Bansal

13 papers · 2014–2022 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (29) πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (13) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (54)

Conferences

EMNLP (3) ACL (2) ICLR (2) AAAI (1) AUTOML (1) COLING (1) ICML (1) IJCNLP (1) NIPS (1)

Top co-authors

Andrew McCallum (9) Raghuveer Thirukovalluru (2) Rishikesh Jha (2) Dung Thai (2) Chiranjib Bhattacharyya (2) Tsendsuren Munkhdalai (2) Ilya Sutskever (2) Tong Wang (2) Igor Mordatch (2) Karthick Prasad Gunasekaran (1)

Keywords

few-shot learning (4) knowledge graph (3) entity embedding (3) transfer learning (2) text representation (2) self-supervised learning (2) pre-trained language model (2) named entity recognition (2) biomedical text mining (2) matrix factorization (1) attention mechanism (1) link prediction (1) relation extraction (1) entity linking (1) text mining (1) curriculum learning (1) probabilistic modeling (1) continuous adaptation (1) marginal likelihood (1) latent dirichlet allocation (1)

Papers

Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning AUTOML 2022
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP EMNLP 2021
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations ACL 2021
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations IJCNLP 2021
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks EMNLP 2020
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks COLING 2020
Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision AAAI 2020
A2N: Attending to Neighbors for Knowledge Graph Inference ACL 2019
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets EMNLP 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018
Emergent Complexity via Multi-Agent Competition ICLR 2018
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models ICML 2015
A provable SVD-based algorithm for learning topics in dominant admixture corpus NIPS 2014