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Trapit Bansal

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

Achievements

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+9 more ↓ πŸƒ Academic Marathon (8) 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (6)
🐝 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