Aneesh S. Pappu

Artificial Intelligence · with Pappu · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #35,176 of 35,345 by trust here, #16,471 by citations
• Natural Language Processing — 29 citations into it; #5,667 of 5,688 by trust here, #3,369 by citations

Whom Aneesh S. Pappu trusts overall

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

1. Alec Radford
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Richard Socher
8. Yann LeCun
9. Alex Graves
10. Kaiming He

Who trusts Aneesh S. Pappu overall

1. Chaopeng Shen

Papers from Aneesh S. Pappu's perspective

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

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

Their papers

• Do Massively Pretrained Language Models Make Better Storytellers? (2019) — 185 citations
• Low Data Drug Discovery with One-Shot Learning (2016) — 773 citations