Sarguna Padmanabhan

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #12,788 of 35,345 by trust here, #10,798 by citations
• Natural Language Processing — 19 citations into it; #2,496 of 5,688 by trust here, #2,364 by citations
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Sarguna Padmanabhan trusts overall

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

1. Diederik P. Kingma
2. Tomas Mikolov
3. Yoshua Bengio

Who trusts Sarguna Padmanabhan overall

1. Graham Neubig
2. Devendra Singh Sachan

Papers from Sarguna Padmanabhan's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation? (2018) — 371 citations