Deepak Nathani

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Graph Learning — 7 citations into it
• Natural Language Processing — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Deepak Nathani trusts overall

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

1. Maximilian Nickel
2. Richard Socher
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Antoine Bordes
6. Diederik P. Kingma
7. Ilya Sutskever
8. Ashish Vaswani
9. Alex Krizhevsky
10. Danqi Chen

Who trusts Deepak Nathani overall

1. Jing Zhang
2. Ines Chami
3. K. Liang
4. Bo Chen

Papers from Deepak Nathani's perspective

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

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

Their papers

• Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs (2019) — 581 citations