Avijit Thawani

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #31,118 of 35,345 by trust here, #27,551 by citations
• Natural Language Processing — 26 citations into it; #5,061 of 5,688 by trust here, #4,879 by citations
• Evaluation & Benchmarks — 10 citations into it
• Large Language Models — 8 citations into it

Whom Avijit Thawani trusts overall

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

1. Tomas Mikolov
2. Geoffrey E. Hinton
3. Alex Wang
4. Jacob Devlin
5. Yoshua Bengio
6. Diederik P. Kingma
7. Subhro Roy
8. Ilya Sutskever
9. Ofir Press
10. Rodrigo Nogueira

Who trusts Avijit Thawani overall

1. Rodrigo Nogueira
2. Hattie Zhou
3. Jimmy J. Li

Papers from Avijit Thawani's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Representing Numbers in NLP: a Survey and a Vision (2021) — 147 citations