N. Krishnan

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Large Language Models — 5 citations into it

Whom N. Krishnan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Rie Kubota Ando

Papers from N. Krishnan's perspective

Ordered by how strongly the researchers N. Krishnan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Class-Based n-gram Models of Natural Language
2. Domain Adaptation with Structural Correspondence Learning
3. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
4. Attention is All you Need (Neural Information Processing Systems)
5. SciBERT: A Pretrained Language Model for Scientific Text
6. Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
7. Matching the Blanks: Distributional Similarity for Relation Learning
8. Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature (Journal of Chemical Information and Modeling)
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• MatSciBERT: A materials domain language model for text mining and information extraction (2021) — 320 citations