Milind Rao

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #13,064 of 35,345 by trust here, #21,316 by citations
• Computer Vision and Pattern Recognition — 7 citations into it; #8,634 of 21,575 by trust here, #14,151 by citations
• Model Architectures — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Milind Rao trusts overall

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

1. Alex Graves
2. Ronald J. Williams
3. Philipp Koehn
4. Ilya Sutskever
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. George Toderici
8. Jeffrey Pennington
9. Oriol Vinyals
10. J. Urgen Schmidhuber

Who trusts Milind Rao overall

1. Zhijin Qin
2. Hao Ye
3. Huiqiang Xie
4. Geoffrey Y. Li
5. Jiawei Shao
6. Biing-Hwang Fred Juang
7. Changyang She

Papers from Milind Rao's perspective

Ordered by how strongly the researchers Milind Rao 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Dropout: a simple way to prevent neural networks from overfitting
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Deep Learning for Joint Source-Channel Coding of Text (2018) — 463 citations