Mihir Parmar
Artificial Intelligence · 2022
A researcher in the Science corpus: 6 papers; trusts 119 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 196 citations into it; #34,783 of 35,345 by trust here, #8,439 by citations
- Natural Language Processing — 143 citations into it; #5,537 of 5,688 by trust here, #1,955 by citations
- Computer Vision and Pattern Recognition — 81 citations into it
- Prompting & Reasoning — 66 citations into it; #218 of 359 by trust here, #149 by citations
- Evaluation & Benchmarks — 60 citations into it
- Large Language Models — 47 citations into it
- Computer Science Applications — 12 citations into it
- Information Systems — 12 citations into it
Whom Mihir Parmar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Swaroop Mishra
- Chin-Yew Lin
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Daniel Khashabi
- Ilya Sutskever
- Alex Krizhevsky
- Tongshuang Sherry Wu
- Richard Socher
Who trusts Mihir Parmar overall
Papers from Mihir Parmar's perspective
Ordered by how strongly the researchers Mihir Parmar trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks (2022) — 1,112 citations
- How Many Data Samples is an Additional Instruction Worth? (2022) — 21 citations
- BioTABQA: Instruction Learning for Biomedical Table Question Answering (2022) — 19 citations
- Is a Question Decomposition Unit All We Need? (2022) — 65 citations
- Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks (2022) — 156 citations
- In-BoXBART: Get Instructions into Biomedical Multi-Task Learning (2022) — 23 citations